recent faculty publications.
List all publications in the database.    :chronological  alphabetical  combined  bibtex listing:

Barr, Roger C.

  1. DiPersio, D.A. and Barr, R.C., Evaluation of the fan method of adaptive sampling on human electrocardiograms, Med. Biol. Eng. Comput. (UK), vol. 23 no. 5 , pp. 401 - 10  [abs].
  2. Plonsey, R. and Barr, R.C. and Witkowski, F.X., One-dimensional model of cardiac defibrillation, Med. Biol. Eng. Comput. (UK), vol. 29 no. 5 , pp. 465 - 9  [abs].
  3. Di Persio, D.A. and Barr, R.C., A prototype inverse solution in one-dimension to find the origin of excitation, strand radius, intracellular resistivity, or distance from the surface, IEEE Trans. Biomed. Eng. (USA), vol. BME-34 no. 9 , pp. 681 - 91  [abs].
  4. Hersh, L.T. and Barr, R.C. and Spach, M.S., An analysis of transfer coefficients calculated directly from epicardial and body surface potential measurements in the intact dog, IEEE Trans. Biomed. Eng. (USA), vol. BME-25 no. 5 , pp. 446 - 61  [abs].
  5. Mossop, B.J. and Barr, R.C. and Zaharoff, D.A. and Fan Yuan, Electric fields within cells as a function of membrane resistivity-a model study, IEEE Trans. Nanobiosc. (USA), vol. 3 no. 3 , pp. 225 - 31 [TNB.2004.833703]  [abs].

Brown, April S.

  1. I. Yoon and C. Yi and T. Kirn and A. S. Brown and A. Seabaugh, Effect of surface pretreatment and substrate orientation on the characteristics of InAs quantum dots on Si and SiO2 substrates, Journal Of Vacuum Science & Technology B, vol. 25 no. 3 (2007), pp. 945 -- 947  [abs].
  2. P. C. Wu and M. Losurdo and T. H. Kim and O. Choi and G. Bruno and A. S. Brown, In situ spectroscopic ellipsometry to monitor surface plasmon resonant group-III metals deposited by molecular beam epitaxy, Journal Of Vacuum Science & Technology B, vol. 25 no. 3 (2007), pp. 1019 -- 1023  [abs].

Chilkoti, Ashutosh   (search)

  1. Li, Z; Shen, Q; Usher, ET; Anderson, AP; Iburg, M; Lin, R; Zimmer, B; Meyer, MD; Holehouse, AS; You, L; Chilkoti, A; Dai, Y; Lu, GJ, Phase transition of GvpU regulates gas vesicle clustering in bacteria., Nature microbiology, vol. 9 no. 4 (April, 2024), pp. 1021-1035 [doi]  [abs].
  2. Walter, V; Schmatko, T; Muller, P; Schroder, AP; MacEwan, SR; Chilkoti, A; Marques, CM, Negative lipid membranes enhance the adsorption of TAT-decorated elastin-like polypeptide micelles., Biophysical journal, vol. 123 no. 7 (April, 2024), pp. 901-908 [doi]  [abs].
  3. Strader, RL; Shmidov, Y; Chilkoti, A, Encoding Structure in Intrinsically Disordered Protein Biomaterials., Accounts of chemical research, vol. 57 no. 3 (February, 2024), pp. 302-311 [doi]  [abs].
  4. Albarghouthi, FM; Semeniak, D; Khanani, I; Doherty, JL; Smith, BN; Salfity, M; MacFarlane, Q; Karappur, A; Noyce, SG; Williams, NX; Joh, DY; Andrews, JB; Chilkoti, A; Franklin, AD, Addressing Signal Drift and Screening for Detection of Biomarkers with Carbon Nanotube Transistors., ACS nano (February, 2024) [doi]  [abs].
  5. Deshpande, S; Yang, Y; Zauscher, S; Chilkoti, A, Enzymatic Synthesis of Aptamer-Polynucleotide Nanoparticles with High Anticancer Drug Loading for Targeted Delivery., Biomacromolecules, vol. 25 no. 1 (January, 2024), pp. 155-164 [doi]  [abs].
  6. Subramaniam, S; Akay, M; Anastasio, MA; Bailey, V; Boas, D; Bonato, P; Chilkoti, A; Cochran, JR; Colvin, V; Desai, TA; Duncan, JS; Epstein, FH; Fraley, S; Giachelli, C; Grande-Allen, KJ; Green, J; Guo, XE; Hilton, IB; Humphrey, JD; Johnson, CR; Karniadakis, G; King, MR; Kirsch, RF; Kumar, S; Laurencin, CT; Li, S; Lieber, RL; Lovell, N; Mali, P; Margulies, SS; Meaney, DF; Ogle, B; Palsson, B; A Peppas, N; Perreault, EJ; Rabbitt, R; Setton, LA; Shea, LD; Shroff, SG; Shung, K; Tolias, AS; van der Meulen, MCH; Varghese, S; Vunjak-Novakovic, G; White, JA; Winslow, R; Zhang, J; Zhang, K; Zukoski, C; Miller, MI, Grand Challenges at the Interface of Engineering and Medicine., IEEE Open J Eng Med Biol, vol. 5 (2024), pp. 1-13 [doi]  [abs].
  7. Sethi, V; Cohen-Gerassi, D; Meir, S; Ney, M; Shmidov, Y; Koren, G; Adler-Abramovich, L; Chilkoti, A; Beck, R, Modulating hierarchical self-assembly in thermoresponsive intrinsically disordered proteins through high-temperature incubation time., Scientific reports, vol. 13 no. 1 (December, 2023), pp. 21688 [doi]  [abs].
  8. Lazar, KM; Shetty, S; Chilkoti, A; Collier, JH, Immune-active polymeric materials for the treatment of inflammatory diseases, Current Opinion in Colloid and Interface Science, vol. 67 (October, 2023) [doi]  [abs].
  9. Semeniak, D; Cruz, DF; Chilkoti, A; Mikkelsen, MH, Plasmonic Fluorescence Enhancement in Diagnostics for Clinical Tests at Point-of-Care: A Review of Recent Technologies., Advanced materials (Deerfield Beach, Fla.), vol. 35 no. 34 (August, 2023), pp. e2107986 [doi]  [abs].
  10. Vahabi, H; Liu, J; Dai, Y; Joh, DY; Britton, R; Heggestad, J; Kinnamon, D; Rajput, S; Chilkoti, A, A gravity-driven droplet fluidic point-of-care test., Device, vol. 1 no. 1 (July, 2023), pp. 100009 [doi]  [abs].
  11. Kinnamon, DS; Heggestad, JT; Liu, J; Nguyen, T; Ly, V; Hucknall, AM; Fontes, CM; Britton, RJ; Cai, J-P; Chan, JF-W; Yuen, K-Y; Le, T; Chilkoti, A, Environmentally Resilient Microfluidic Point-of-Care Immunoassay Enables Rapid Diagnosis of Talaromycosis., ACS Sens, vol. 8 no. 6 (June, 2023), pp. 2228-2236 [doi]  [abs].
  12. Dai, Y; Chamberlayne, CF; Messina, MS; Chang, CJ; Zare, RN; You, L; Chilkoti, A, Interface of biomolecular condensates modulates redox reactions., Chem, vol. 9 no. 6 (June, 2023), pp. 1594-1609 [doi]  [abs].
  13. Burrow, DT; Heggestad, JT; Kinnamon, DS; Chilkoti, A, Engineering Innovative Interfaces for Point-of-Care Diagnostics., Current opinion in colloid & interface science (June, 2023), pp. 101718 [doi]  [abs].
  14. Heggestad, JT; Britton, RJ; Kinnamon, DS; Liu, J; Anderson, JG; Joh, DY; Quinn, Z; Fontes, CM; Hucknall, AM; Parks, R; Sempowski, GD; Denny, TN; Burke, TW; Haynes, BF; Woods, CW; Chilkoti, A, COVID-19 Diagnosis and SARS-CoV-2 Strain Identification by a Rapid, Multiplexed, Point-of-Care Antibody Microarray., Anal Chem, vol. 95 no. 13 (April, 2023), pp. 5610-5617 [doi]  [abs].
  15. Dai, Y; Farag, M; Lee, D; Zeng, X; Kim, K; Son, H-I; Guo, X; Su, J; Peterson, N; Mohammed, J; Ney, M; Shapiro, DM; Pappu, RV; Chilkoti, A; You, L, Programmable synthetic biomolecular condensates for cellular control., Nature chemical biology, vol. 19 no. 4 (April, 2023), pp. 518-528 [doi]  [abs].
  16. Ozer, I; Slezak, A; Sirohi, P; Li, X; Zakharov, N; Yao, Y; Everitt, JI; Spasojevic, I; Craig, SL; Collier, JH; Campbell, JE; D'Alessio, DA; Chilkoti, A, An injectable PEG-like conjugate forms a subcutaneous depot and enables sustained delivery of a peptide drug., Biomaterials, vol. 294 (March, 2023), pp. 121985 [doi]  [abs].
  17. J. W. Pyhtila and H. W. Ma and A. J. Simnick and A. Chilkoti and A. Wax, Analysis of long range correlations due to coherent light scattering from in-vitro cell arrays using angle-resolved low coherence interferometry, Journal Of Biomedical Optics, vol. 11 no. 3 (2006)  [abs].

Dahl, Jeremy J.

  1. Dahl, J.J. and Soo, M.S. and Trahey, G.E., Spatial and temporal aberrator stability for real-time adaptive imaging, IEEE Trans. Ultrason. Ferroelectr. Freq. Control (USA), vol. 52 no. 9 , pp. 1504 - 17 [TUFFC.2005.1516023]  [abs].

Dewhirst, Mark W.

  1. Engler, M.J. and Dewhirst, M.W. and Winget, J.M. and Oleson, J.R., Automated temperature scanning for hyperthermia treatment monitoring, Int. J. Radiat. Oncol. Biol. Phys. (UK), vol. 13 no. 9 , pp. 1377 - 82  [abs].
  2. Samulski, T.V. and Grant, W.J. and Oleson, J.R. and Leopold, K.A. and Dewhirst, M.W. and Vallario, P. and Blivin, J., Clinical experience with a multi-element ultrasonic hyperthermia system: analysis of treatment temperatures, Int. J. Hyperth. (UK), vol. 6 no. 5 , pp. 909 - 22  [abs].
  3. Thrall, D.E. and Rosner, G.L. and Azuma, C. and Larue, S.M. and Case, B.C. and Samulski, T. and Dewhirst, M.W., Using units of CEM 43°C T90, local hyperthermia thermal dose can be delivered as prescribed, Int. J. Hyperth. (UK), vol. 16 no. 5 , pp. 415 - 28 [026567300416712]  [abs].
  4. Vujaskovic, Z. and Rosen, E.L. and Blackwell, K.L. and Jones, E.L. and Brizel, D.M. and Prosnitz, L.R. and Samulski, T.V. and Dewhirst, M.W., Ultrasound guided pO2 measurement of breast cancer reoxygenation after neoadjuvant chemotherapy and hyperthermia treatment, Int. J. Hyperth. (UK), vol. 19 no. 5 , pp. 498 - 506 [0265673031000121517]  [abs].
  5. Kong, G. and Dewhirst, M.W., Hyperthermia and liposomes, Int. J. Hyperth. (UK), vol. 15 no. 5 , pp. 345 - 70 [026567399285558]  [abs].
  6. Thrall, D.E. and Larue, S.M. and Powers, B.E. and Page, R.L. and Johnson, J. and George, S.L. and Kornegay, J.N. and McEntee, M.C. and Levesque, D.C. and Smith, M. and Case, B.C. and Dewhirst, M.W. and Gillette, E.L., Use of whole body hyperthermia as a method to heat inaccessible tumours uniformly: a phase III trial in canine brain masses, Int. J. Hyperth. (UK), vol. 15 no. 5 , pp. 383 - 98 [026567399285576]  [abs].
  7. Prescott, D.M. and Charles, H.C. and Sostman, H.D. and Page, R.L. and Thrall, D.E. and Moore, D. and Oleson, J.R. and Dewhirst, M.W., Manipulation of intra- and extracellular pH in spontaneous canine tumours by use of hyperglycaemia [hyperthermia efficacy improvement], Int. J. Hyperth. (UK), vol. 9 no. 5 , pp. 745 - 54  [abs].

Dobbins, James T.

  1. Dobbins, J.T., III and Pedersen, P.L. and Mazess, R.B. and Cameron, J.R. and Hansen, J.L. and Hefner, L.V., A scanning-slit X-ray videoabsorptiometric technique for bone mineral measurement, Med. Phys. (USA), vol. 11 no. 5 , pp. 582 - 8 [1.595554]  [abs].
  2. Samei, E. and Saunders, R.S. and Lo, J.Y. and Dobbins, J.T. and Jesneck, J.L. and Floyd, C.E. and Ravin, C.E., Fundamental imaging characteristics of a slot-scan digital chest radiographic system, Med. Phys. (USA), vol. 31 no. 9 , pp. 2687 - 98 [1.1783531]  [abs].

Driehuys, Bastiaan

  1. Hsia, CCW; Bates, JHT; Driehuys, B; Fain, SB; Goldin, JG; Hoffman, EA; Hogg, JC; Levin, DL; Lynch, DA; Ochs, M; Parraga, G; Prisk, GK; Smith, BM; Tawhai, M; Vidal Melo, MF; Woods, JC; Hopkins, SR, Quantitative Imaging Metrics for the Assessment of Pulmonary Pathophysiology: An Official American Thoracic Society and Fleischner Society Joint Workshop Report., Annals of the American Thoracic Society, vol. 20 no. 2 (February, 2023), pp. 161-195 [doi]  [abs].
  2. Subashi, E; Feng, L; Liu, Y; Robertson, S; Segars, P; Driehuys, B; Kelsey, CR; Yin, F-F; Otazo, R; Cai, J, View-sharing for 4D magnetic resonance imaging with randomized projection-encoding enables improvements of respiratory motion imaging for treatment planning in abdominothoracic radiotherapy., Physics and Imaging in Radiation Oncology, vol. 25 (January, 2023), pp. 100409 [doi]  [abs].
  3. SELECTED PEER-REVIEWED PUBLICATIONS:

    1. B Driehuys, GP Cofer, J Pollaro, et al., Imaging alveolar-capillary gas transfer using hyperpolarized 129Xe MRI, Proceedings of the National Academy of Sciences, 103(48): 18278-18283, 2006.
    2. JP Mugler, B Driehuys, JR Brookeman et al., MR imaging and spectroscopy using hyperpolarized 129Xe gas: Preliminary human results, Magn. Reson. Med. 37, 809-815, 1997.
    3. Driehuys B, Moller HE, Cleveland ZI, Pollaro J, Hedlund LW. Pulmonary perfusion and xenon gas exchange in rats: MR imaging with intravenous injection of hyperpolarized Xe-129. Radiology 252(2):386-393, 2009.
    4. S. Mansson, J Wolber, B Driehuys et al., Characterization of diffusing capacity and perfusion of the rat lung in a lipopolysaccaride disease model using hyperpolarized 129Xe, Magn. Reson. Med. 50 (6), 1170-1179, 2003.
    5. B Driehuys, GD Cates, E Miron et al., High-volume production of laser-polarized 129Xe, Appl. Phys. Lett. 69 (12), 1668-1670, 1996.

    Most Recent:

    1. B Driehuys, J Pollaro, GP Cofer. In vivo MRI using real-time production of hyperpolarized Xe-129. Magn. Reson. Med. 60:14-20, 2008. PMCID2548276
    2. AC Thomas, EN Potts, BT Chen, DM Slipetz, WM Foster, B Driehuys. A robust protocol for regional evaluation of methacholine challenge in mouse models of allergic asthma using hyperpolarized He-3 MRI. NMR Biomed. 22(5):502-515, 2009. PMCID114021
    3. Cleveland ZI, Moeller HE, Hedlund L, Driehuys B. Continuously infusing hyperpolarized 129xe into flowing aqueous solutions using hydrophobic gas exchange membranes. Journal of Physical Chemistry B 2009;113(37):12489-12499. PMCID2747043
    4. Branca T, Cleveland ZI, Leuschner C, Kumar C, Fubara B, Maronpot RR, Warren W, Driehuys B. Hyperpolarized 3He MRI to detect lung metastases targeted by magnetic nanoparticles. Proc. Natl. Acad. Sci. in press.
    5. Mistry N, Thomas A, Kaushik SS, Driehuys B. Quantitative analysis of hyperpolarized 3He ventilation changes in mice challenged with methacholine, Magn Reson Med, in press.

    Best:
    1. MS Albert, GD Cates, B Driehuys et al., Biological magnetic-resonance imaging using laser polarized 129Xe, Nature 370 (6486), 199-201, 1994.
    2. B Driehuys, J Nouls, A Badea, et al., Small-animal imaging with magnetic resonance microscopy, invited paper, ILAR journal, 28(1): 35-53, 2008.
    3. B Driehuys, J Walker, J Pollaro, et al., Hyperpolarized 3He MR imaging of methacholine challenge in a mouse model of asthma, Magn. Reson. Med., 58(5), 893-900, 2007. PMC2746053
    4. JR MacFall, HC Charles, RD Black, B Driehuys et al., Human lung air spaces: Potential for MR imaging with hyperpolarized He-3, Radiology 200 (2), 553-558, 1996.
    5. XJ Chen, HE Moller, MS Chawla, B Driehuys, et al, Spatially resolved measurements of hyperpolarized gas properties in the lung in vivo: Diffusion coefficient, Magn. Reson. Med. 42 (4), 721-728, 1999.

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Farsiu, Sina   (search)

  1. Lu, M-C; Deng, C; Greenwald, MF; Farsiu, S; Prajna, NV; Nallasamy, N; Pawar, M; Hart, JN; Sr, S; Kochar, P; Selvaraj, S; Levine, H; Amescua, G; Sepulveda-Beltran, PA; Niziol, LM; Woodward, MA; and the AQUA Study Team, , Automatic Classification of Slit-Lamp Photographs by Imaging Illumination., Cornea, vol. 43 no. 4 (April, 2024), pp. 419-424 [doi]  [abs].
  2. Wang, RK; Farsiu, S, Biomedical Optics Express recognizes the 2023 best paper prize winners: editorial., Biomedical optics express, vol. 15 no. 2 (February, 2024), pp. 1148-1149, Optica Publishing Group [doi]  [abs].
  3. Michalak, SM; Mangalesh, S; Chen, Y; Shen, LL; Tai, V; Winter, K; Sarin, N; Ying, G-S; Toth, CA; Vajzovic, L; BabySTEPS Group, , Longitudinal Choroidal Development in Preterm Infants., Ophthalmol Sci, vol. 4 no. 1 (2024), pp. 100359 [doi]  [abs].
  4. Li, G; van Batenburg-Sherwood, J; Safa, BN; Fraticelli Guzmán, NS; Wilson, A; Bahrani Fard, MR; Choy, K; De Ieso, ML; Cui, JS; Feola, AJ; Weisz, T; Kuhn, M; Rickman, CB; Farsiu, S; Ethier, CR; Stamer, WD, Aging and intraocular pressure homeostasis in mice., bioRxiv (December, 2023) [doi]  [abs].
  5. Hicks, PM; Singh, K; Prajna, NV; Lu, M-C; Niziol, LM; Greenwald, MF; Verkade, A; Amescua, G; Farsiu, S; Woodward, MA; Corneal Ulcer Study Group, , Quantifying Clinicians' Diagnostic Uncertainty When Making Initial Treatment Decisions for Microbial Keratitis., Cornea, vol. 42 no. 11 (November, 2023), pp. 1408-1413 [doi]  [abs].
  6. Zemborain, ZZ; Soifer, M; Azar, NS; Murillo, S; Mousa, HM; Perez, VL; Farsiu, S, Open-Source Automated Segmentation of Neuronal Structures in Corneal Confocal Microscopy Images of the Subbasal Nerve Plexus With Accuracy on Par With Human Segmentation., Cornea, vol. 42 no. 10 (October, 2023), pp. 1309-1319 [doi]  [abs].
  7. Loo, J; Teo, KYC; Vyas, CH; Jordan-Yu, JMN; Juhari, AB; Jaffe, GJ; Cheung, CMG; Farsiu, S, Joint Multimodal Deep Learning-based Automatic Segmentation of Indocyanine Green Angiography and OCT Images for Assessment of Polypoidal Choroidal Vasculopathy Biomarkers., Ophthalmology science, vol. 3 no. 3 (September, 2023), pp. 100292 [doi]  [abs].
  8. Sazhnyev, Y; Sin, T-N; Ma, A; Chang, E; Huynh, L; Roszak, K; Park, S; Choy, K; Farsiu, S; Moshiri, A; Thomasy, SM; Yiu, G, Choroidal Changes in Rhesus Macaques in Aging and Age-Related Drusen., Investigative ophthalmology & visual science, vol. 64 no. 12 (September, 2023), pp. 44 [doi]  [abs].
  9. Yang, Z; Farsiu, S, Directional Connectivity-based Segmentation of Medical Images., Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2023 (June, 2023), pp. 11525-11535 [doi]  [abs].
  10. Rasti, R; Biglari, A; Rezapourian, M; Yang, Z; Farsiu, S, RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation., IEEE transactions on medical imaging, vol. 42 no. 5 (May, 2023), pp. 1413-1423, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
  11. Soltanian-Zadeh, S; Liu, Z; Liu, Y; Lassoued, A; Cukras, CA; Miller, DT; Hammer, DX; Farsiu, S, Deep learning-enabled volumetric cone photoreceptor segmentation in adaptive optics optical coherence tomography images of normal and diseased eyes., Biomedical optics express, vol. 14 no. 2 (February, 2023), pp. 815-833, Optica Publishing Group [doi]  [abs].
  12. Wang, RK; Farsiu, S, Biomedical Optics Express recognizes the best paper prize winners: editorial., Biomedical optics express, vol. 14 no. 2 (February, 2023), pp. 985-986, Optica Publishing Group [doi]  [abs].
  13. Hagan, K; Park, J; DuBose, TB; Soltanian-Zadeh, S; Dhalla, AH; Kuo, AN; McNabb, RP; Izatt, JA; Farsiu, S, Dual modality handheld adaptive optics optical coherence tomography probe for in vivo 3-D photoreceptor imaging, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 12360 (January, 2023) [doi]  [abs].

Friedman, Morton H.

  1. Friedman, M.H. and Srivastava, Y.N., Gauge theories with composite bosons, Phys. Rev. D, Part. Fields (USA), vol. 28 no. 6 (15), pp. 1491 - 5 [1491]  [abs].
  2. Nath, P. and Arnowitt, R. and Friedman, M.H., Broken scale invariance, current algebra, and massive `gravitation. I. General formulation, Phys. Rev. D, Part. Fields (USA), vol. 6 no. 6 (15), pp. 1572 - 87 [1572]  [abs].
  3. Friedman, M.H. and Tanner, J.T., A system for the automated acquisition and reduction of neutron activation analysis data, Trans. Am. Nucl. Soc. (USA), vol. 17 , pp. 126 -  [abs].
  4. Friedman, M.H. and Srivastava, Y. and Widom, A., Fermions in an external SU(2) magnetic field, J. Phys. G, Nucl. Part. Phys. (UK), vol. 23 no. 9 , pp. 1061 - 4 [005]  [abs].
  5. Friedman, M.H. and Srivastava, Y. and Widom, A., The physical states of QCD, Phys. Essays (Canada), vol. 9 no. 3 , pp. 429 - 33  [abs].
  6. Friedman, M.H., Unsteady transport and hydration dynamics in the in vivo cornea, Biophys. J. (USA), vol. 13 no. 9 , pp. 890 - 910  [abs].
  7. Mark, F.F. and Bargeron, C.B. and Deters, O.J. and Friedman, M.H., Experimental investigations of steady and pulsatile laminar flow in a 90° branch, Trans. ASME, E, J. Appl. Mech. (USA), vol. 44 no. 3 , pp. 372 - 7  [abs].

Goldberg, Richard L.

  1. Goldberg, R.L. and Smith, S.W., Multilayer piezoelectric ceramics for two-dimensional array transducers, IEEE Trans. Ultrason. Ferroelectr. Freq. Control (USA), vol. 41 no. 5 , pp. 761 - 71 [58.308512]  [abs].

Grill, Warren M

  1. Wenzel, B.J. and Boggs, J.W. and Gustafson, K.J. and Grill, W.M., Detecting the onset of hyper-reflexive bladder contractions from the electrical activity of the pudendal nerve, IEEE Trans. Neural Syst. Rehabil. Eng. (USA), vol. 13 no. 3 , pp. 428 - 35 [TNSRE.2005.848355]  [abs].

Guilak, Farshid

  1. Flahiff, C.M. and Narmoneva, D.A. and Huebner, J.L. and Kraus, V.B. and Guilak, F. and Setton, L.A., Osmotic loading to determine the intrinsic material properties of guinea pig knee cartilage, J. Biomech. (UK), vol. 35 no. 9 , pp. 1285 - 90 [S0021-9290(02)00079-9]  [abs].

Idriss, Salim F.

  1. Lee, W. and Idriss, S.F. and Wolf, P.D. and Smith, S.W., Dual lumen transducer probes for real-time 3-D interventional cardiac ultrasound, Ultrasound Med. Biol. (USA), vol. 29 no. 9 , pp. 1297 - 304 [S0301-5629(03)00952-9]  [abs].

Izatt, Joseph A.

  1. Izatt, J.A. and Kulkami, M.D. and Yazdanfar, S. and Barton, J.K. and Welch, A.J., In vivo bidirectional color Doppler flow imaging of picoliter blood volumes using optical coherence tomography, Opt. Lett. (USA), vol. 22 no. 18 (15), pp. 1439 - 41  [abs].
  2. Barton, J.K. and Welch, A.J. and Izatt, J.A., Investigating pulsed dye laser-blood vessel interaction with color Doppler optical coherence tomography, Opt. Express (USA), vol. 3 no. 6 (14)  [abs].
  3. Rollins, A.M. and Kulkarni, M.D. and Yazdanfar, S. and Ung-arunyawee, R. and Izatt, J.A., In vivo video rate optical coherence tomography, Opt. Express (USA), vol. 3 no. 6 (14)  [abs].
  4. Choma, M.A. and Sarunic, M.V. and Changhuei Yang and Izatt, J.A., Sensitivity advantage of swept source and Fourier domain optical coherence tomography, Opt. Express (USA), vol. 11 no. 18 (8)  [abs].
  5. Changhuei Yang and McGuckin, L.E.L. and Simon, J.D. and Choma, M.A. and Applegate, B.E. and Izatt, J.A., Spectral triangulation molecular contrast optical coherence tomography with indocyanine green as the contrast agent, Opt. Lett. (USA), vol. 29 no. 17 (1), pp. 2016 - 18 [OL.29.002016]  [abs].

Jacquemet, Vincent

  1. Virag, N. and Jacquemet, V. and Henriquez, C.S. and Zozor, S. and Blanc, O. and Vesin, J.-M. and Pruvot, E. and Kappenberger, L., Study of atrial arrhythmias in a computer model based on magnetic resonance images of human atria, Chaos (USA), vol. 12 no. 3 , pp. 754 - 63 [1.1483935]  [abs].

Jaszczak, Ronald J

  1. Garipagaoglu, M. and Munley, M.T. and Hollis, D. and Poulson, J.M. and Bentel, G.C. and Slbley, G. and Anscher, M.S. and Ming Fan and Jaszczak, R.J. and Coleman, R.E. and Marks, L.B., The effect of patient-specific factors on radiation-induced regional lung injury, Int. J. Radiat. Oncol. Biol. Phys. (USA), vol. 45 no. 2 (1), pp. 331 - 8 [S0360-3016(99)00201-1]  [abs].
  2. Floyd, C.E. and Jaszczak, R.J. and Coleman, R.E., Image resampling on a cylindrical sector grid, IEEE Trans. Med. Imaging (USA), vol. MI-5 no. 3 , pp. 128 - 31  [abs].
  3. Zeng, G.L. and Gullberg, G.T. and Jaszczak, R.J. and Li, J., Fan-beam reconstruction algorithm for a spatially varying focal length collimator, IEEE Trans. Med. Imaging (USA), vol. 12 no. 3 , pp. 575 - 82 [42.241886]  [abs].
  4. Turkington, T.G. and Jaszczak, R.J. and Pelizzari, C.A. and Harris, C.C. and MacFall, J.R. and Hoffman, J.M. and Coleman, R.E., Accuracy of registration of PET, SPECT and MR images of a brain phantom, J. Nucl. Med. (USA), vol. 34 no. 9 , pp. 1587 - 94  [abs].
  5. Floyd, C.E., Jr. and Jaszczak, R.J. and Coleman, R.E., Scatter detection in SPECT imaging: dependence on source depth, energy, and energy window, Phys. Med. Biol. (UK), vol. 33 no. 9 , pp. 1075 - 81 [006]  [abs].
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Johnson, G. Allan   (search)

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Katz, David F.

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Laursen, Tod A

  1. I. Stanciulescu and L. N. Virgin and T. A. Laursen, Slender solar sail booms: Finite element analysis, Journal Of Spacecraft And Rockets, vol. 44 no. 3 (2007), pp. 528 -- 537  [abs].

Leong, Kam W.

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Lo, Joseph   (search)

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  3. Lo JY, Gavrielides MA, Markey MK, and Jesneck JL, “Computer-aided classification of breast microcalcification clusters: Merging of features from image processing and radiologists,” Medical Imaging 2003: Image Processing, Hanson KM, Ed., SPIE Medical Imaging 2003: Image Processing, San Diego, CA, Proc. SPIE: (2003). .

MacFall, James R.

  1. Goodman, J.A. and Ellsworth, R.W. and Ito, A.S. and MacFall, J.R. and Siohan, F. and Streitmatter, R.E. and Tonar, S.C. and Viswanath, P.R. and Yodh, G.B., Delayed hadrons in extensive air showers: evidence for the iron-group nuclei in primary cosmic-ray flux at energies ~1013-1015 eV, Phys. Rev. D, Part. Fields (USA), vol. 26 no. 5 (1), pp. 1043 - 60 [1043]  [abs].
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Malkin, Robert A

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Massoud, Hisham Z.

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Myers, Barry S.

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Neu, John C.

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Nicolelis, Miguel A.

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Nightingale, Roger W.

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  3. Chancey, Valeta Carol and Ottaviano, Danielle and Myers, Barry S. and Nightingale, Roger W., {A kinematic and anthropometric study of the upper cervical spine and the occipital condyles}, {JOURNAL OF BIOMECHANICS}, vol. 40 no. 9 , pp. {1953-1959}  [abs].
  4. Zhai, Liang and Palmeri, Mark L. and Bouchard, Richard R. and Nightingale, Roger W. and Nightingale, Kathryn R., {An integrated indenter-ARFI imaging system for tissue stiffness quantification}, {ULTRASONIC IMAGING}, vol. 30 no. 2 , pp. {95-111}  [abs].
  5. Nightingale, Roger W. and Chancey, V. Carol and Ottaviano, Danielle and Luck, Jason F. and Tran, Laura and Prange, Michael and Myers, Barry S., {Flexion and extension structural properties and strengths for male cervical spine segments}, {JOURNAL OF BIOMECHANICS}, vol. 40 no. 3 , pp. {535-542}  [abs].
  6. Camacho, DLA and Nightingale, RW and Myers, BS, {The influence of surface padding properties on head and neck injury risk}, {JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME}, vol. 123 no. 5 , pp. {432-439}  [abs].
  7. Palmeri, ML and Sharma, AC and Bouchard, RR and Nightingale, RW and Nightingale, KR, {A finite-element method model of soft tissue response to impulsive acoustic radiation force}, {IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL}, vol. 52 no. 10 , pp. {1699-1712}  [abs].
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Nolte, Loren W.

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  7. Hatsell, C.P. and Nolte, L.W., Some geometric properties of the likelihood ratio, IEEE Trans. Inf. Theory (USA), vol. IT-17 no. 5 , pp. 616 - 18  [abs].
  8. Adams, S.L. and Nolte, L.W., Bayes optimum array detection of targets of known location, J. Acoust. Soc. Am. (USA), vol. 58 no. 3 , pp. 656 - 69  [abs].
  9. Richardson, A.M. and Nolte, L.W., A posteriori probability source localization with array tilt uncertainty, J. Acoust. Soc. Am. (USA), vol. 92 no. 3 , pp. 1578 - 82  [abs].

Palmeri, Mark L.

  1. Kristin Frinkley Bing and Gabriel P Howles and Yi Qi and Mark L Palmeri and Kathryn R Nightingale, Blood-brain barrier (BBB) disruption using a diagnostic ultrasound scanner and Definity in Mice., Ultrasound Med Biol, vol. 35 no. 8 (2009), pp. 1298–1308 [012]  [abs].
  2. Richard R Bouchard and Jeremy J Dahl and Stephen J Hsu and Mark L Palmeri and Gregg E Trahey, Image quality,tissue heating,and frame rate trade-offs in acoustic radiation force impulse imaging., IEEE Trans Ultrason Ferroelectr Freq Control, vol. 56 no. 1 (2009), pp. 63–76 [1006]  [abs].
  3. Hilary A Hancock and Lauren H Smith and Julian Cuesta and Amir K Durrani and Mary Angstadt and Mark L Palmeri and Eitan Kimmel and Victor Frenkel, Investigations into Pulsed High-Intensity Focused Ultrasound-Enhanced Delivery: Preliminary Evidence for a Novel Mechanism., Ultrasound Med Biol (2009) [020]  [abs].
  4. Liang Zhai and Mark L Palmeri and Richard R Bouchard and Roger W Nightingale and Kathryn R Nightingale, An integrated indenter-ARFI imaging system for tissue stiffness quantification., Ultrason Imaging, vol. 30 no. 2 (2008), pp. 95–111  [abs].
  5. Jeremy J Dahl and Gianmarco F Pinton and Mark L Palmeri and Vineet Agrawal and Kathryn R Nightingale and Gregg E Trahey, A parallel tracking method for acoustic radiation force impulse imaging., IEEE Trans Ultrason Ferroelectr Freq Control, vol. 54 no. 2 (2007), pp. 301–312  [abs].
  6. Brian J Fahey and Mark L Palmeri and Gregg E Trahey, The impact of physiological motion on tissue tracking during radiation force imaging., Ultrasound Med Biol, vol. 33 no. 7 (2007), pp. 1149–1166 [007]  [abs].
  7. Mark L Palmeri and Kristin D Frinkley and Katherine G Oldenburg and Kathryn R Nightingale, Characterizing acoustic attenuation of homogeneous media using focused impulsive acoustic radiation force., Ultrason Imaging, vol. 28 no. 2 (2006), pp. 114–128  [abs].
  8. Brian J Fahey and Mark L Palmeri and Gregg E Trahey, Frame rate considerations for real-time abdominal acoustic radiation force impulse imaging., Ultrason Imaging, vol. 28 no. 4 (2006), pp. 193–210  [abs].
  9. Mark L Palmeri and Stephen A McAleavey and Kelly L Fong and Gregg E Trahey and Kathryn R Nightingale, Dynamic mechanical response of elastic spherical inclusions to impulsive acoustic radiation force excitation., IEEE Trans Ultrason Ferroelectr Freq Control, vol. 53 no. 11 (2006), pp. 2065–2079  [abs].
  10. Kathryn Nightingale and Mark Palmeri and Gregg Trahey, Analysis of contrast in images generated with transient acoustic radiation force., Ultrasound Med Biol, vol. 32 no. 1 (2006), pp. 61–72 [008]  [abs].
  11. Mark L Palmeri and Stephen A McAleavey and Gregg E Trahey and Kathryn R Nightingale, Ultrasonic tracking of acoustic radiation force-induced displacements in homogeneous media., IEEE Trans Ultrason Ferroelectr Freq Control, vol. 53 no. 7 (2006), pp. 1300–1313  [abs].
  12. Brian J Fahey and Kathryn R Nightingale and Rendon C Nelson and Mark L Palmeri and Gregg E Trahey, Acoustic radiation force impulse imaging of the abdomen: demonstration of feasibility and utility., Ultrasound Med Biol, vol. 31 no. 9 (2005), pp. 1185–1198 [004]  [abs].
  13. Kenneth L Gentry and Mark L Palmeri and Nasheer Sachedina and Stephen W Smith, Finite-element analysis of temperature rise and lesion formation from catheter ultrasound ablation transducers., IEEE Trans Ultrason Ferroelectr Freq Control, vol. 52 no. 10 (2005), pp. 1713–1721  [abs].
  14. Brian J Fahey and Kathryn R Nightingale and Stephen A McAleavey and Mark L Palmeri and Patrick D Wolf and Gregg E Trahey, Acoustic radiation force impulse imaging of myocardial radiofrequency ablation: initial in vivo results., IEEE Trans Ultrason Ferroelectr Freq Control, vol. 52 no. 4 (2005), pp. 631–641  [abs].
  15. Mark L Palmeri and Kristin D Frinkley and Liang Zhai and Marcia Gottfried and Rex C Bentley and Kirk Ludwig and Kathryn R Nightingale, Acoustic radiation force impulse (ARFI) imaging of the gastrointestinal tract., Ultrason Imaging, vol. 27 no. 2 (2005), pp. 75–88  [abs].
  16. Mark L Palmeri and Amy C Sharma and Richard R Bouchard and Roger W Nightingale and Kathryn R Nightingale, A finite-element method model of soft tissue response to impulsive acoustic radiation force., IEEE Trans Ultrason Ferroelectr Freq Control, vol. 52 no. 10 (2005), pp. 1699–1712  [abs].
  17. Gregg E Trahey and Mark L Palmeri and Rex C Bentley and Kathryn R Nightingale, Acoustic radiation force impulse imaging of the mechanical properties of arteries: in vivo and ex vivo results., Ultrasound Med Biol, vol. 30 no. 9 (2004), pp. 1163–1171 [022]  [abs].
  18. Mark L Palmeri and Kristin D Frinkley and Kathryn R Nightingale, Experimental studies of the thermal effects associated with radiation force imaging of soft tissue., Ultrason Imaging, vol. 26 no. 2 (2004), pp. 100–114  [abs].
  19. Mark L Palmeri and Kathryn R Nightingale, On the thermal effects associated with radiation force imaging of soft tissue., IEEE Trans Ultrason Ferroelectr Freq Control, vol. 51 no. 5 (2004), pp. 551–565  [abs].

Plonsey, Robert

  1. Altman, K.W. and Plonsey, R., Development of a model for point source electrical fibre bundle stimulation, Med. Biol. Eng. Comput. (UK), vol. 26 no. 5 , pp. 466 - 75  [abs].
  2. Plonsey, R., The nature of sources of bioelectric and biomagnetic fields, Biophys. J. (USA), vol. 39 no. 3 , pp. 309 - 12  [abs].
  3. Plonsey, R. and Barr, R.C. and Witkowski, F.X., One-dimensional model of cardiac defibrillation, Med. Biol. Eng. Comput. (UK), vol. 29 no. 5 , pp. 465 - 9  [abs].
  4. Henriquez, C.S. and Plonsey, R., Simulation of propagation along a cylindrical bundle of cardiac tissue. I. Mathematical formulation, IEEE Trans. Biomed. Eng. (USA), vol. 37 no. 9 , pp. 850 - 60 [10.58596]  [abs].
  5. Malkin, R.A. and Penzotti, J.E. and Juhlin, S.P. and Pilkington, T.C. and Plonsey, R., Statistical analysis of signals from an intracavitary probe in a diseased heart, Med. Biol. Eng. Comput. (UK), vol. 35 no. 5 , pp. 462 - 6  [abs].
  6. Plonsey, R. and Altman, K.W., Electrical stimulation of excitable cells-a model approach, Proc. IEEE (USA), vol. 76 no. 9 , pp. 1122 - 9 [9658]  [abs].
  7. Plonsey, R. and Hwei-Piao Hsu, Diffraction by a slit, Journal of Applied Physics, vol. 30 no. 9 , pp. 1468 -  [abs].
  8. Plonsey, R. and Burr, R.C., Electric field stimulation of excitable tissue, IEEE Eng. Med. Biol. Mag. (USA), vol. 17 no. 5 , pp. 130 - 7 [51.715497]  [abs].
  9. Henriquez, C.S. and Plonsey, R., Simulation of propagation along a cylindrical bundle of cardiac tissue. II. Results of simulation, IEEE Trans. Biomed. Eng. (USA), vol. 37 no. 9 , pp. 861 - 75 [10.58597]  [abs].
  10. Pilkington, T.C. and Long, F.M. and Plonsey, R. and Webster, J.G. and Welkowitz, W., Status and trends in biomedical engineering education, IEEE Eng. Med. Biol. Mag. (USA), vol. 8 no. 3 , pp. 9 - 17 [51.35573]  [abs].
  11. Plonsey, R., The active fiber in a volume conductor, IEEE Trans. Biomed. Eng. (USA), vol. BME-21 no. 5 , pp. 371 - 81  [abs].
  12. Plonsey, R. and Collin, R., Electrode guarding in electrical impedance measurements of physiological systems-a critique, Med. Biol. Eng. Comput. (UK), vol. 15 no. 5 , pp. 519 - 27  [abs].

Ramanujam, Nimmi

  1. C. F. Zhu and G. M. Palmer and T. M. Breslin and J. Harter and N. Ramanujam, Diagnosis of breast cancer using fluorescence and diffuse reflectance spectroscopy: a Monte-Carlo-model-based approach, Journal Of Biomedical Optics, vol. 13 no. 3 (2008)  [abs].
  2. G. M. Palmer and N. Ramanujam, Monte-Carlo-based model for the extraction of intrinsic fluorescence from turbid media, Journal Of Biomedical Optics, vol. 13 no. 2 (2008)  [abs].
  3. M. C. Skala and K. M. Riching and D. K. Bird and A. Gendron-fitzpatrick and J. Eickhoff and K. W. Eliceiri and P. J. Keely and N. Ramanujam, In vivo multiphoton fluorescence lifetime imaging of protein-bound and free nicotinamide adenine dinucleotide in normal and precancerous epithelia, Journal Of Biomedical Optics, vol. 12 no. 2 (2007)  [abs].
  4. Lubawy, C. and Ramanujam, N., Endoscopically compatible near-infrared photon migration probe, Opt. Lett. (USA), vol. 29 no. 17 (1), pp. 2022 - 4  [abs].
  5. Quan Liu and Ramanujam, N., Experimental proof of the feasibility of using an angled fiber-optic probe for depth-sensitive fluorescence spectroscopy of turbid media, Opt. Lett. (USA), vol. 29 no. 17 (1), pp. 2034 - 6 [OL.29.002034]  [abs].
  6. Ramanujam, N. and Jinxian Chen and Gossage, K. and Richards-Kortum, R. and Chance, B., Fast and noninvasive fluorescence imaging of biological tissues in vivo using a flying-spot scanner, IEEE Trans. Biomed. Eng. (USA), vol. 48 no. 9 , pp. 1034 - 41 [10.942594]  [abs].

Randles, Amanda

  1. Chidyagwai, SG; Kaplan, MS; Jensen, CW; Chen, JS; Chamberlain, RC; Hill, KD; Barker, PCA; Slesnick, TC; Randles, A, Surgical Modulation of Pulmonary Artery Shear Stress: A Patient-Specific CFD Analysis of the Norwood Procedure., Cardiovasc Eng Technol (March, 2024) [doi]  [abs].
  2. Nan, J; Roychowdhury, S; Randles, A, Investigating the Influence of Heterogeneity Within Cell Types on Microvessel Network Transport., Cellular and molecular bioengineering, vol. 16 no. 5-6 (December, 2023), pp. 497-507 [doi]  [abs].
  3. Martin, A; Liu, G; Ladd, W; Lee, S; Gounley, J; Vetter, J; Patel, S; Rizzi, S; Mateevitsi, V; Insley, J; Randles, A, Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations, ACM International Conference Proceeding Series (November, 2023), pp. 1126-1137, ACM [doi]  [abs].
  4. Valero-Lara, P; Vetter, J; Gounley, J; Randles, A, Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs, ACM International Conference Proceeding Series (November, 2023), pp. 1697-1704, ACM [doi]  [abs].
  5. Tanade, C; Rakestraw, E; Ladd, W; Draeger, E; Randles, A, Cloud Computing to Enable Wearable-Driven Longitudinal Hemodynamic Maps, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023 (November, 2023), ACM [doi]  [abs].
  6. Roychowdhury, S; Balogh, P; Mahmud, ST; Puleri, DF; Martin, A; Gounley, J; Draeger, EW; Randles, A, Enhancing Adaptive Physics Refinement Simulations Through the Addition of Realistic Red Blood Cell Counts., International Conference for High Performance Computing, Networking, Storage and Analysis : [proceedings]. SC (Conference : Supercomputing), vol. 2023 (November, 2023), pp. 41, ACM [doi]  [abs].
  7. Feiger, B; Jensen, CW; Bryner, BS; Segars, WP; Randles, A, Modeling the effect of patient size on cerebral perfusion during veno-arterial extracorporeal membrane oxygenation., Perfusion (July, 2023), pp. 2676591231187962 [doi]  [abs].
  8. Roychowdhury, S; Draeger, EW; Randles, A, Establishing metrics to quantify spatial similarity in spherical and red blood cell distributions, Journal of Computational Science, vol. 71 (July, 2023) [doi]  [abs].
  9. Tanade, C; Putney, S; Randles, A, Establishing massively parallel models to examine the influence of cell heterogeneity on tumor growth, Journal of Computational Science, vol. 71 (July, 2023) [doi]  [abs].
  10. Shi, H; Vardhan, M; Randles, A, The Role of Immersion for Improving Extended Reality Analysis of Personalized Flow Simulations., Cardiovascular engineering and technology, vol. 14 no. 2 (April, 2023), pp. 194-203 [doi]  [abs].
  11. Pepona, M; Gounley, J; Randles, A, Effect of constitutive law on the erythrocyte membrane response to large strains., Computers & mathematics with applications (Oxford, England : 1987), vol. 132 (February, 2023), pp. 145-160 [doi]  [abs].
  12. Ladd, W; Jensen, C; Vardhan, M; Ames, J; Hammond, JR; Draeger, EW; Randles, A, Optimizing Cloud Computing Resource Usage for Hemodynamic Simulation, Proceedings - 2023 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2023 (January, 2023), pp. 568-578 [doi]  [abs].

Samei, Ehsan

  1. Bhattarai, M; Bache, S; Abadi, E; Samei, E, A systematic task-based image quality assessment of photon-counting and energy integrating CT as a function of reconstruction kernel and phantom size., Med Phys, vol. 51 no. 2 (February, 2024), pp. 1047-1060 [doi]  [abs].
  2. Sauer, TJ; McCabe, C; Abadi, E; Samei, E; Segars, WP, Surface-based anthropomorphic bone structures for use in high-resolution simulated medical imaging., Phys Med Biol, vol. 69 no. 1 (December, 2023) [doi]  [abs].
  3. Martin, R; Segars, P; Samei, E; Miró, J; Duong, L, Unsupervised synthesis of realistic coronary artery X-ray angiogram., Int J Comput Assist Radiol Surg, vol. 18 no. 12 (December, 2023), pp. 2329-2338 [doi]  [abs].
  4. Zarei, M; Abadi, E; Segars, WP; Samei, E, Coronary stenosis quantification in cardiac computed tomography angiography: multi-factorial optimization of image quality and radiation dose., J Med Imaging (Bellingham), vol. 10 no. 6 (November, 2023), pp. 063502 [doi]  [abs].
  5. Bhattarai, M; Bache, S; Abadi, E; Samei, E, Exploration of the pulse pileup effects in a clinical CdTe-based photon-counting computed tomography., Med Phys, vol. 50 no. 11 (November, 2023), pp. 6693-6703 [doi]  [abs].
  6. Russ, MK; Lafata, NM; Robertson, SH; Samei, E, Pulsed wave Doppler ultrasound: Accuracy, variability, and impact of acquisition parameters on flow measurements., Med Phys, vol. 50 no. 11 (November, 2023), pp. 6704-6713 [doi]  [abs].
  7. Peters, AA; Solomon, JB; von Stackelberg, O; Samei, E; Alsaihati, N; Valenzuela, W; Debic, M; Heidt, C; Huber, AT; Christe, A; Heverhagen, JT; Kauczor, H-U; Heussel, CP; Ebner, L; Wielpütz, MO, Influence of CT dose reduction on AI-driven malignancy estimation of incidental pulmonary nodules., Eur Radiol (October, 2023) [doi]  [abs].
  8. Lofino, L; Schwartz, F; Ria, F; Zarei, M; Samei, E; Marin, D, Comparison of image quality of abdominal CT examinations and virtual noncontrast images between photon-counting and energy-integrating detector CT (October, 2023) .
  9. Farhadi, F; Sahbaee, P; Rajagopal, JR; Nikpanah, M; Saboury, B; Gutjahr, R; Biassou, NM; Shah, R; Flohr, TG; Samei, E; Pritchard, WF; Malayeri, AA; Bluemke, DA; Jones, EC, Virtual monoenergetic imaging in photon-counting CT of the head and neck., Clin Imaging, vol. 102 (October, 2023), pp. 109-115 [doi]  [abs].
  10. Rajagopal, JR; Farhadi, F; Nikpanah, M; Sahbaee, P; Saboury, B; Pritchard, WF; Jones, EC; Chen, MY; Samei, E, Impact of the confluence of cardiac motion and high spatial resolution on performance of ECG-gated imaging with an investigational photon-counting CT system: A phantom study., Phys Med, vol. 114 (October, 2023), pp. 102683 [doi]  [abs].
  11. Vrbaski, S; Bache, S; Rajagopal, J; Samei, E, Quantitative performance of photon-counting CT at low dose: Virtual monochromatic imaging and iodine quantification., Med Phys, vol. 50 no. 9 (September, 2023), pp. 5421-5433 [doi]  [abs].
  12. Schwartz, FR; Ria, F; McCabe, C; Zarei, M; Rajagopal, J; Molvin, L; Marin, D; O'Sullivan-Murphy, B; Kalisz, KR; Tailor, TD; Washington, L; Henry, T; Samei, E, Image quality of photon counting and energy integrating chest CT - Prospective head-to-head comparison on same patients., Eur J Radiol, vol. 166 (September, 2023), pp. 111014 [doi]  [abs].
  13. Rigiroli, F; Hoye, J; Lerebours, R; Lyu, P; Lafata, KJ; Zhang, AR; Erkanli, A; Mettu, NB; Morgan, DE; Samei, E; Marin, D, Exploratory analysis of mesenteric-portal axis CT radiomic features for survival prediction of patients with pancreatic ductal adenocarcinoma., Eur Radiol, vol. 33 no. 8 (August, 2023), pp. 5779-5791 [doi]  [abs].
  14. Bache, ST; Samei, E, A methodology for incorporating a photon-counting CT system into routine clinical use., J Appl Clin Med Phys, vol. 24 no. 8 (August, 2023), pp. e14069 [doi]  [abs].
  15. Setiawan, H; Abadi, E; Marin, D; Molvin, L; Ria, F; Samei, E, Development and Testing of a Clinical Tool to Predict and Optimize Liver Contrast-Enhanced CT Imaging, https://aapm.onlinelibrary.wiley.com/doi/epdf/10.1002/mp.16525, vol. 50 no. 6 (July, 2023), pp. E449-E450 [doi]  [abs].
  16. Ria, F; Setiawan, H; Abadi, E; Samei, E, Accuracy of Noise Magnitude Measurements from Patient CT Images, https://aapm.onlinelibrary.wiley.com/doi/epdf/10.1002/mp.16525, vol. 50 no. 6 (July, 2023), pp. E130-E131 [doi]  [abs].
  17. Sauer, TJ; Bejan, A; Segars, P; Samei, E, Development and CT image-domain validation of a computational lung lesion model for use in virtual imaging trials., Med Phys, vol. 50 no. 7 (July, 2023), pp. 4366-4378 [doi]  [abs].
  18. Schwartz, FR; Samei, E; Marin, D, Exploiting the Potential of Photon-Counting CT in Abdominal Imaging., Invest Radiol, vol. 58 no. 7 (July, 2023), pp. 488-498 [doi]  [abs].
  19. Rajagopal, JR; Schwartz, FR; Solomon, JB; Enterline, DS; Samei, E, High Spatial-Resolution Skull Base Imaging With Photon-Counting Computed Tomography and Energy-Integrating Computed Tomography: A Comparative Phantom Study., J Comput Assist Tomogr, vol. 47 no. 4 (July, 2023), pp. 613-620 [doi]  [abs].
  20. THE 2023 AAPM ANNUAL MEETING PROGRAM., Med Phys, vol. 50 no. 6 (June, 2023), pp. e62-3992 [doi] .
  21. Sharma, S; Pal, D; Abadi, E; Sauer, T; Segars, P; Hsieh, J; Samei, E, Can Photon-Counting CT Improve Estimation Accuracy of Morphological Radiomics Features? A Simulation Study for Assessing the Quantitative Benefits from Improved Spatial Resolution in Deep Silicon-Based Photon-Counting CT., Acad Radiol, vol. 30 no. 6 (June, 2023), pp. 1153-1163 [doi]  [abs].
  22. Samei, E, AAPM President: 2023, Medical Physics, vol. 50 no. S1 (June, 2023), pp. 159-160 [doi] .
  23. Kavuri, A; Nejad, MG; Sotoudeh-Paima, S; McAdams, HP; Lynch, DA; Segars, PW; Samei, E; Abadi, E, Effects of Intra-patient End-inspiration Variability in Emphysema Quantification: A Virtual Imaging Study, B68. A DIFFERENT POINT OF VIEW: LUNG IMAGING IN COPD (May, 2023), American Thoracic Society [doi] .
  24. Abadi, E; Jadick, G; Lynch, DA; Segars, WP; Samei, E, Emphysema Quantifications With CT Scan: Assessing the Effects of Acquisition Protocols and Imaging Parameters Using Virtual Imaging Trials., Chest, vol. 163 no. 5 (May, 2023), pp. 1084-1100 [doi]  [abs].
  25. Alsaihati, N; Ria, F; Solomon, J; Ding, A; Frush, D; Samei, E, Making CT Dose Monitoring Meaningful: Augmenting Dose with Imaging Quality., Tomography, vol. 9 no. 2 (April, 2023), pp. 798-809 [doi]  [abs].
  26. Schwartz, FR; Ashton, J; Wildman-Tobriner, B; Molvin, L; Ramirez-Giraldo, JC; Samei, E; Bashir, MR; Marin, D, Liver fat quantification in photon counting CT in head to head comparison with clinical MRI - First experience., Eur J Radiol, vol. 161 (April, 2023), pp. 110734 [doi]  [abs].
  27. Lyu, P; Liu, N; Harrawood, B; Solomon, J; Wang, H; Chen, Y; Rigiroli, F; Ding, Y; Schwartz, FR; Jiang, H; Lowry, C; Wang, L; Samei, E; Gao, J; Marin, D, Is it possible to use low-dose deep learning reconstruction for the detection of liver metastases on CT routinely?, Eur Radiol, vol. 33 no. 3 (March, 2023), pp. 1629-1640 [doi]  [abs].
  28. McCollough, CH; Mahesh, M; Samei, E, Concerns about alarmist portrayal of CT scans., Lancet Oncol, vol. 24 no. 3 (March, 2023), pp. e105 [doi] .
  29. Zarei, M; Sotoudeh-Paima, S; McCabe, C; Abadi, E; Samei, E, Harmonizing CT Images via Physics-based Deep Neural Networks., Proc SPIE Int Soc Opt Eng, vol. 12463 (February, 2023) [doi]  [abs].
  30. McCabe, C; Sauer, TJ; Zarei, M; Segars, WP; Samei, E; Abadi, E, A systematic assessment of photon-counting CT for bone mineral density and microarchitecture quantifications., Proc SPIE Int Soc Opt Eng, vol. 12463 (February, 2023)  [abs].
  31. Ho, FC; Sotoudeh-Paima, S; Segars, WP; Samei, E; Abadi, E, Development and Application of a Virtual Imaging Trial framework for Airway Quantifications via CT., Proc SPIE Int Soc Opt Eng, vol. 12463 (February, 2023) [doi]  [abs].
  32. Azizmohammadi, F; Navarro Castellanos, I; Miró, J; Segars, P; Samei, E; Duong, L, Patient-specific Cardio-respiratory Motion Prediction in X-ray Angiography using LSTM Networks., Phys Med Biol, vol. 68 no. 2 (January, 2023) [doi]  [abs].
  33. Häggmark, I; Shaker, K; Nyrén, S; Al-Amiry, B; Abadi, E; P Segars, W; Samei, E; M Hertz, H, Phase-contrast virtual chest radiography., Proc Natl Acad Sci U S A, vol. 120 no. 1 (January, 2023), pp. e2210214120 [doi]  [abs].
  34. Sotoudeh-Paima, S; Samei, E; Abadi, E, CT-HARMONICA: physics-based CT harmonization for reliable lung density quantification, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 12465 (January, 2023) [doi]  [abs].
  35. Goshima, F; Tanaka, R; Segars, WP; Abadi, E; Samei, E, Bone suppression technique for multidirectional dynamic chest radiography: A virtual imaging trial, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 12463 (January, 2023) [doi]  [abs].
  36. Dahal, L; Wang, Y; Tushar, FI; Montero, I; Lafata, K; Abadi, E; Samei, E; Segars, WP; Lo, JY, Automatic quality control in computed tomography volumes segmentation using a small set of XCAT as reference images, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 12463 (January, 2023) [doi]  [abs].
  37. Ahmad, M; Liu, X; Morani, AC; Ganeshan, D; Anderson, MR; Samei, E; Jensen, CT, Oncology-specific radiation dose and image noise reference levels in adult abdominal-pelvic CT., Clin Imaging, vol. 93 (January, 2023), pp. 52-59 [doi]  [abs].
  38. Schwartz, FR; Daubert, MA; Molvin, L; Ramirez-Giraldo, JC; Samei, E; Marin, D; Tailor, TD, Coronary Artery Calcium Evaluation Using New Generation Photon-counting Computed Tomography Yields Lower Radiation Dose Compared With Standard Computed Tomography., J Thorac Imaging, vol. 38 no. 1 (January, 2023), pp. 44-45 [doi]  [abs].
  39. Sotoudeh-Paima, S; Nejad, MG; Segars, W; O'Sullivan-Murphy, B; Macintyre, NR; Lynch, DA; McAdams, H; Samei, E; Abadi, E, Emphysema Score in CT for COPD Quantifications Using Artificial Intelligence Informed by Virtual Imaging Datasets, AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, vol. 207 (2023) .

Sapiro, Guillermo

  1. Isaev, DY; Vlasova, RM; Di Martino, JM; Stephen, CD; Schmahmann, JD; Sapiro, G; Gupta, AS, Uncertainty of Vowel Predictions as a Digital Biomarker for Ataxic Dysarthria., Cerebellum (London, England), vol. 23 no. 2 (April, 2024), pp. 459-470 [doi]  [abs].
  2. Franz, L; Viljoen, M; Askew, S; Brown, M; Dawson, G; Di Martino, JM; Sapiro, G; Sebolai, K; Seris, N; Shabalala, N; Stahmer, A; Turner, EL; de Vries, PJ, Autism Caregiver Coaching in Africa (ACACIA): Protocol for a type 1-hybrid effectiveness-implementation trial., PLoS One, vol. 19 no. 1 (2024), pp. e0291883 [doi]  [abs].
  3. Nazaret, A; Tonekaboni, S; Darnell, G; Ren, SY; Sapiro, G; Miller, AC, Modeling personalized heart rate response to exercise and environmental factors with wearables data, npj Digital Medicine, vol. 6 no. 1 (December, 2023) [doi]  [abs].
  4. Schlesinger, O; Kundu, R; Goetz, S; Sapiro, G; Peterchev, AV; Di Martino, JM, Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors., Clin Image Based Proced Fairness AI Med Imaging Ethical Philos Issues Med Imaging (2023), vol. 14242 (October, 2023), pp. 12-20 [doi]  [abs].
  5. Perochon, S; Di Martino, JM; Carpenter, KLH; Compton, S; Davis, N; Eichner, B; Espinosa, S; Franz, L; Krishnappa Babu, PR; Sapiro, G; Dawson, G, Early detection of autism using digital behavioral phenotyping., Nat Med, vol. 29 no. 10 (October, 2023), pp. 2489-2497 [doi]  [abs].
  6. Nazaret, A; Sapiro, G, A large-scale observational study of the causal effects of a behavioral health nudge., Science advances, vol. 9 no. 38 (September, 2023), pp. eadi1752 [doi]  [abs].
  7. Chen, J; Engelhard, M; Henao, R; Berchuck, S; Eichner, B; Perrin, EM; Sapiro, G; Dawson, G, Enhancing early autism prediction based on electronic records using clinical narratives., J Biomed Inform, vol. 144 (August, 2023), pp. 104390 [doi]  [abs].
  8. Coffman, M; Di Martino, JM; Aiello, R; Carpenter, KLH; Chang, Z; Compton, S; Eichner, B; Espinosa, S; Flowers, J; Franz, L; Perochon, S; Krishnappa Babu, PR; Sapiro, G; Dawson, G, Relationship between quantitative digital behavioral features and clinical profiles in young autistic children., Autism Res, vol. 16 no. 7 (July, 2023), pp. 1360-1374 [doi]  [abs].
  9. Krishnappa Babu, PR; Aikat, V; Di Martino, JM; Chang, Z; Perochon, S; Espinosa, S; Aiello, R; L H Carpenter, K; Compton, S; Davis, N; Eichner, B; Flowers, J; Franz, L; Dawson, G; Sapiro, G, Blink rate and facial orientation reveal distinctive patterns of attentional engagement in autistic toddlers: a digital phenotyping approach., Sci Rep, vol. 13 no. 1 (May, 2023), pp. 7158 [doi]  [abs].
  10. Isaev, DY; Sabatos-DeVito, M; Di Martino, JM; Carpenter, K; Aiello, R; Compton, S; Davis, N; Franz, L; Sullivan, C; Dawson, G; Sapiro, G, Computer Vision Analysis of Caregiver-Child Interactions in Children with Neurodevelopmental Disorders: A Preliminary Report., J Autism Dev Disord (April, 2023) [doi]  [abs].
  11. Perochon, S; Matias Di Martino, J; Carpenter, KLH; Compton, S; Davis, N; Espinosa, S; Franz, L; Rieder, AD; Sullivan, C; Sapiro, G; Dawson, G, A tablet-based game for the assessment of visual motor skills in autistic children., NPJ Digit Med, vol. 6 no. 1 (February, 2023), pp. 17 [doi]  [abs].
  12. Engelhard, MM; Henao, R; Berchuck, SI; Chen, J; Eichner, B; Herkert, D; Kollins, SH; Olson, A; Perrin, EM; Rogers, U; Sullivan, C; Zhu, Y; Sapiro, G; Dawson, G, Predictive Value of Early Autism Detection Models Based on Electronic Health Record Data Collected Before Age 1 Year., JAMA Netw Open, vol. 6 no. 2 (February, 2023), pp. e2254303 [doi]  [abs].
  13. Krishnappa Babu, PR; Di Martino, JM; Chang, Z; Perochon, S; Aiello, R; Carpenter, KLH; Compton, S; Davis, N; Franz, L; Espinosa, S; Flowers, J; Dawson, G; Sapiro, G, Complexity analysis of head movements in autistic toddlers., J Child Psychol Psychiatry, vol. 64 no. 1 (January, 2023), pp. 156-166 [doi]  [abs].
  14. Solomon, O; Patriat, R; Braun, H; Palnitkar, TE; Moeller, S; Auerbach, EJ; Ugurbil, K; Sapiro, G; Harel, N, Motion robust magnetic resonance imaging via efficient Fourier aggregation., Medical image analysis, vol. 83 (January, 2023), pp. 102638 [doi]  [abs].
  15. Babu, PRK; Di Martino, JM; Chang, Z; Perochon, S; Carpenter, KLH; Compton, S; Espinosa, S; Dawson, G; Sapiro, G, Exploring Complexity of Facial Dynamics in Autism Spectrum Disorder., IEEE Trans Affect Comput, vol. 14 no. 2 (2023), pp. 919-930 [doi]  [abs].

Setton, Lori A.

  1. M. L. Upton and A. Hennerbichler and B. Fermor and F. Guilak and J. B. Weinberg and L. A. Setton, Biaxial strain effects on cells from the inner and outer regions of the meniscus, Connective Tissue Research, vol. 47 no. 4 (2006), pp. 207 -- 214  [abs].
  2. Flahiff, C.M. and Narmoneva, D.A. and Huebner, J.L. and Kraus, V.B. and Guilak, F. and Setton, L.A., Osmotic loading to determine the intrinsic material properties of guinea pig knee cartilage, J. Biomech. (UK), vol. 35 no. 9 , pp. 1285 - 90 [S0021-9290(02)00079-9]  [abs].

Smith, Stephen W.

  1. Emery, C.D. and Smith, S.W., Ultrasonic imaging using a 5-MHz multilayer/single-layer hybrid array for increased signal-to-noise ratio, IEEE Trans. Ultrason. Ferroelectr. Freq. Control (USA), vol. 46 no. 5 , pp. 1101 - 19 [58.796116]  [abs].
  2. Trahey, G. and Zhao, D. and Miglin, J.A. and Smith, S.W., Experimental results with a real-time adaptive ultrasonic imaging system for viewing through distorting media, IEEE Trans. Ultrason. Ferroelectr. Freq. Control (USA), vol. 37 no. 5 , pp. 418 - 27 [58.105248]  [abs].
  3. Lee, W. and Idriss, S.F. and Wolf, P.D. and Smith, S.W., Dual lumen transducer probes for real-time 3-D interventional cardiac ultrasound, Ultrasound Med. Biol. (USA), vol. 29 no. 9 , pp. 1297 - 304 [S0301-5629(03)00952-9]  [abs].
  4. Goldberg, R.L. and Smith, S.W., Multilayer piezoelectric ceramics for two-dimensional array transducers, IEEE Trans. Ultrason. Ferroelectr. Freq. Control (USA), vol. 41 no. 5 , pp. 761 - 71 [58.308512]  [abs].
  5. Light, E.D. and Idriss, S.F. and Wolf, P.D. and Smith, S.W., Real-time three-dimensional intracardiac echocardiography, Ultrasound Med. Biol. (USA), vol. 27 no. 9 , pp. 1177 - 83 [S0301-5629(01)00421-5]  [abs].

Sommer, Marc A.

  1. Subramanian, D; Pearson, JM; Sommer, MA, Bayesian and Discriminative Models for Active Visual Perception across Saccades., eNeuro, vol. 10 no. 7 (July, 2023), pp. ENEURO.0403-ENEU22.2023 [doi]  [abs].
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Song, Allen W.

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Tornai, Martin P.

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Trahey, Gregg E.

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Truskey, George A.   (search)

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Turkington, Timothy G

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Vo-Dinh, Tuan

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Warren, Warren S.

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Wax, Adam P.

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Zalutsky, Michael R.

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Zauscher, Stefan

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