Publications by Electrical & Computer Engineering.

Brady, David J.

  1. Gopinathan, U. and Brady, D.J. and Pitsianis, N.P., Coded apertures for efficient pyroelectric motion tracking, Opt. Express (USA), vol. 11 no. 18 (8)  [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].

Carin, Lawrence

  1. Assaad, S; Dov, D; Park, C; Davis, R; Kovalsky, SZ; Lee, WT; Kahmke, RR; Rocke, DJ; Cohen, J; Weiss-Meilik, A; Henao, R; Carin, L; Elliott Range, D, A Preliminary Study Comparing the Performance of Thyroid Molecular Tests to a Deep Learning Algorithm in Predicting Malignancy in Indeterminate Thyroid Fine Needle Aspiration Biopsies., Thyroid, vol. 34 no. 4 (April, 2024), pp. 531-535 [doi] .
  2. Dow, ER; Jeong, HK; Katz, EA; Toth, CA; Wang, D; Lee, T; Kuo, D; Allingham, MJ; Hadziahmetovic, M; Mettu, PS; Schuman, S; Carin, L; Keane, PA; Henao, R; Lad, EM, A Deep-Learning Algorithm to Predict Short-Term Progression to Geographic Atrophy on Spectral-Domain Optical Coherence Tomography., JAMA Ophthalmol, vol. 141 no. 11 (November, 2023), pp. 1052-1061 [doi]  [abs].
  3. Dov, D; Elliott Range, D; Cohen, J; Bell, J; Rocke, DJ; Kahmke, RR; Weiss-Meilik, A; Lee, WT; Henao, R; Carin, L; Kovalsky, SZ, Deep-Learning-Based Screening and Ancillary Testing for Thyroid Cytopathology., Am J Pathol, vol. 193 no. 9 (September, 2023), pp. 1185-1194 [doi]  [abs].
  4. Zhang, H; Wang, C; Wang, Z; Duan, Z; Chen, B; Zhou, M; Henao, R; Carin, L, Learning Hierarchical Document Graphs From Multilevel Sentence Relations., IEEE Trans Neural Netw Learn Syst, vol. 34 no. 8 (August, 2023), pp. 4273-4285 [doi]  [abs].
  5. Luo, D; Xu, H; Carin, L, Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45 no. 6 (June, 2023), pp. 7293-7307 [doi]  [abs].
  6. Assaad, S; Dov, D; Davis, R; Kovalsky, S; Lee, WT; Kahmke, R; Rocke, D; Cohen, J; Henao, R; Carin, L; Range, DE, Thyroid Cytopathology Cancer Diagnosis from Smartphone Images Using Machine Learning., Mod Pathol, vol. 36 no. 6 (June, 2023), pp. 100129 [doi]  [abs].
  7. Chapfuwa, P; Tao, C; Li, C; Khan, I; Chandross, KJ; Pencina, MJ; Carin, L; Henao, R, Calibration and Uncertainty in Neural Time-to-Event Modeling., IEEE Trans Neural Netw Learn Syst, vol. 34 no. 4 (April, 2023), pp. 1666-1680 [doi]  [abs].
  8. Li, Z; Cong, Y; Chen, X; Qi, J; Sun, J; Yan, T; Yang, H; Liu, J; Lu, E; Wang, L; Li, J; Hu, H; Zhang, C; Yang, Q; Yao, J; Yao, P; Jiang, Q; Liu, W; Song, J; Carin, L; Chen, Y; Zhao, S; Gao, X, Vision transformer-based weakly supervised histopathological image analysis of primary brain tumors, iScience, vol. 26 no. 1 (January, 2023) [doi]  [abs].
  9. Xu, H; Liu, J; Luo, D; Carin, L, Representing Graphs via Gromov-Wasserstein Factorization., IEEE transactions on pattern analysis and machine intelligence, vol. 45 no. 1 (January, 2023), pp. 999-1016 [doi]  [abs].
  10. Verma, VK; Mehta, N; Si, S; Henao, R; Carin, L, Pushing the Efficiency Limit Using Structured Sparse Convolutions, Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023 (January, 2023), pp. 6492-6502 [doi]  [abs].
  11. Bai, K; Cheng, P; Hao, W; Henao, R; Carin, L, Estimating Total Correlation with Mutual Information Estimators, Proceedings of Machine Learning Research, vol. 206 (January, 2023), pp. 2147-2164  [abs].
  12. Mariottoni, EB; Datta, S; Shigueoka, LS; Jammal, AA; Tavares, IM; Henao, R; Carin, L; Medeiros, FA, Deep Learning-Assisted Detection of Glaucoma Progression in Spectral-Domain OCT., Ophthalmol Glaucoma, vol. 6 no. 3 (2023), pp. 228-238 [doi]  [abs].

Cummer, Steven A.

  1. Pu, Y; Cummer, SA; Lyu, F; Zheng, Y; Briggs, MS; Lesage, S; Mailyan, B; Roberts, OJ, Unsupervised Clustering and Supervised Machine Learning for Lightning Classification: Application to Identifying EIPs for Ground-Based TGF Detection, Journal of Geophysical Research: Atmospheres, vol. 128 no. 9 (May, 2023) [doi]  [abs].
  2. Shen, C; Rohde, C; Cushing, CW; Li, J; Tan, ZJ; Du, H; Peng, X; Wilson, PS; Haberman, MR; Fang, NX; Cummer, SA, Anisotropic Metallic Microlattice Structures for Underwater Operations, Advanced Engineering Materials, vol. 25 no. 6 (March, 2023) [doi]  [abs].
  3. Shen, L; Tai, J; Crivoi, A; Li, J; Cummer, S; Fan, Z, Self-stabilizing three-dimensional particle manipulation via a single-transducer acoustic tweezer, Applied Physics Letters, vol. 122 no. 9 (February, 2023) [doi]  [abs].

Curtarolo, Stefano

  1. Barnowsky, T; Curtarolo, S; Krasheninnikov, AV; Heine, T; Friedrich, R, Magnetic State Control of Non-van der Waals 2D Materials by Hydrogenation., Nano letters, vol. 24 no. 13 (April, 2024), pp. 3874-3881 [doi]  [abs].
  2. Divilov, S; Eckert, H; Toher, C; Friedrich, R; Zettel, AC; Brenner, DW; Fahrenholtz, WG; Wolfe, DE; Zurek, E; Maria, JP; Hotz, N; Campilongo, X; Curtarolo, S, A priori procedure to establish spinodal decomposition in alloys, Acta Materialia, vol. 266 (March, 2024) [doi]  [abs].
  3. Chen, H; Samanta, S; Zhu, S; Eckert, H; Schroers, J; Curtarolo, S; van de Walle, A, Bayesian active machine learning for Cluster expansion construction, Computational Materials Science, vol. 231 (January, 2024) [doi]  [abs].
  4. Filipovic, S; Obradovic, N; Hilmas, GE; Fahrenholtz, WG; Brenner, DW; Maria, JP; Wolfe, DE; Zurek, E; Campilongo, X; Curtarolo, S, A super-hard high entropy boride containing Hf, Mo, Ti, V, and W, Journal of the American Ceramic Society (January, 2024) [doi]  [abs].
  5. Divilov, S; Eckert, H; Hicks, D; Oses, C; Toher, C; Friedrich, R; Esters, M; Mehl, MJ; Zettel, AC; Lederer, Y; Zurek, E; Maria, J-P; Brenner, DW; Campilongo, X; Filipović, S; Fahrenholtz, WG; Ryan, CJ; DeSalle, CM; Crealese, RJ; Wolfe, DE; Calzolari, A; Curtarolo, S, Disordered enthalpy-entropy descriptor for high-entropy ceramics discovery., Nature, vol. 625 no. 7993 (January, 2024), pp. 66-73 [doi]  [abs].
  6. Zhu, S; Schroers, J; Curtarolo, S; Eckert, H; van de Walle, A, Special glass structures for first principles studies of bulk metallic glasses, Acta Materialia, vol. 262 (January, 2024) [doi]  [abs].
  7. Smith, SM; Fahrenholtz, WG; Hilmas, GE; Curtarolo, S, Thermodynamic analysis of metal segregation in dual phase high entropy ceramics, Journal of Materiomics (January, 2024) [doi]  [abs].
  8. Friedrich, R; Curtarolo, S, AFLOW-CCE for the thermodynamics of ionic materials., The Journal of chemical physics, vol. 160 no. 4 (January, 2024), pp. 042501 [doi]  [abs].
  9. Toher, C; Curtarolo, S, AFLOW for Alloys, Journal of Phase Equilibria and Diffusion (January, 2024) [doi]  [abs].
  10. Ghiringhelli, LM; Baldauf, C; Bereau, T; Brockhauser, S; Carbogno, C; Chamanara, J; Cozzini, S; Curtarolo, S; Draxl, C; Dwaraknath, S; Fekete, Á; Kermode, J; Koch, CT; Kühbach, M; Ladines, AN; Lambrix, P; Himmer, M-O; Levchenko, SV; Oliveira, M; Michalchuk, A; Miller, RE; Onat, B; Pavone, P; Pizzi, G; Regler, B; Rignanese, G-M; Schaarschmidt, J; Scheidgen, M; Schneidewind, A; Sheveleva, T; Su, C; Usvyat, D; Valsson, O; Wöll, C; Scheffler, M, Shared metadata for data-centric materials science., Scientific data, vol. 10 no. 1 (September, 2023), pp. 626 [doi] .
  11. Feng, L; Fahrenholtz, WG; Hilmas, GE; Curtarolo, S, Boro/carbothermal reduction co-synthesis of dual-phase high-entropy boride-carbide ceramics, Journal of the European Ceramic Society, vol. 43 no. 6 (June, 2023), pp. 2708-2712 [doi]  [abs].
  12. Toher, C; Ridley, MJ; Tomko, KQ; Olson, DH; Curtarolo, S; Hopkins, PE; Opila, EJ, Design rules for the thermal and elastic properties of rare-earth disilicates, Materialia, vol. 28 (May, 2023) [doi]  [abs].
  13. Wolfe, DE; DeSalle, CM; Ryan, CJ; Slapikas, RE; Sweny, RT; Crealese, RJ; Kolonin, PA; Stepanoff, SP; Haque, A; Divilov, S; Eckert, H; Oses, C; Esters, M; Brenner, DW; Fahrenholtz, WG; Maria, JP; Toher, C; Zurek, E; Curtarolo, S, Influence of processing on the microstructural evolution and multiscale hardness in titanium carbonitrides (TiCN) produced via field assisted sintering technology, Materialia, vol. 27 (March, 2023) [doi]  [abs].
  14. Esters, M; Smolyanyuk, A; Oses, C; Hicks, D; Divilov, S; Eckert, H; Campilongo, X; Toher, C; Curtarolo, S, QH-POCC: Taming tiling entropy in thermal expansion calculations of disordered materials, Acta Materialia, vol. 245 (February, 2023) [doi]  [abs].
  15. Oses, C; Esters, M; Hicks, D; Divilov, S; Eckert, H; Friedrich, R; Mehl, MJ; Smolyanyuk, A; Campilongo, X; van de Walle, A; Schroers, J; Kusne, AG; Takeuchi, I; Zurek, E; Nardelli, MB; Fornari, M; Lederer, Y; Levy, O; Toher, C; Curtarolo, S, aflow++: A C++ framework for autonomous materials design, Computational Materials Science, vol. 217 (January, 2023) [doi]  [abs].
  16. Esters, M; Oses, C; Divilov, S; Eckert, H; Friedrich, R; Hicks, D; Mehl, MJ; Rose, F; Smolyanyuk, A; Calzolari, A; Campilongo, X; Toher, C; Curtarolo, S, aflow.org: A web ecosystem of databases, software and tools, Computational Materials Science, vol. 216 (January, 2023) [doi]  [abs].

Daubechies, Ingrid

  1. Duprez, F; Crombin, M; Daubechies, I; Devries, N; Durant, V; El Khalil, M; Audag, N, [Update on manual bronchial clearance techniques (adults and adolescents)]., Revue des maladies respiratoires, vol. 41 no. 1 (January, 2024), pp. 43-50 [doi]  [abs].
  2. Xu, J; Li, Y; Yang, H; Dunson, D; Daubechies, I, PiPs: A kernel-based optimization scheme for analyzing non-stationary 1D signals, Applied and Computational Harmonic Analysis, vol. 66 (September, 2023), pp. 1-17 [doi]  [abs].
  3. Balmaceda, JM; Clemens, CH; Daubechies, I; Pineda, AR; Rusu, G; Waldschmidt, M, Graduate Assistantships in Developing Countries (GRAID) Supporting Mathematics Graduate Students in the Countries that Need it Most, Notices of the American Mathematical Society, vol. 70 no. 8 (September, 2023), pp. 1281-1284 [doi] .
  4. Daubechies, I; Devore, R; Dym, N; Faigenbaum-Golovin, S; Kovalsky, SZ; Lin, KC; Park, J; Petrova, G; Sober, B, Neural Network Approximation of Refinable Functions, IEEE Transactions on Information Theory, vol. 69 no. 1 (January, 2023), pp. 482-495 [doi]  [abs].
  5. Pu, W; Sober, B; Daly, N; Zhou, C; Sabetsarvestani, Z; Higgitt, C; Daubechies, I; Rodrigues, MRD, Image Separation With Side Information: A Connected Auto-Encoders Based Approach., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 32 (January, 2023), pp. 2931-2946 [doi]  [abs].
  6. Shan, S; Daubechies, I, Diffusion Maps: Using the Semigroup Property for Parameter Tuning, in Applied and Numerical Harmonic Analysis, vol. Part F6 (January, 2023), pp. 409-424 [doi]  [abs].

Donald, Bruce R.

  1. L. Wang and R. Mettu and B. R. Donald, An Algebraic Geometry Approach to Protein Backbone Structure Determination from NMR Data, in Proceedings of the IEEE Computational Systems Bioinformatics Conference (CSB) (2005), pp. 235--246 .
  2. B. R. Donald and C. Levey and C. McGray and I. Paprotny and D. Rus, A Steerable, Untethered, 250 $\times$ 60 $\mu$m MEMS Mobile Micro-Robot, in Proceedings of the 12th {\it International Symposium of Robotics Research (ISRR)} (2005) .
  3. C. Langmead and B. R. Donald, A Framework for Automated NMR Resonance Assignments and 3D Structural Homology Detection (2004) ({\poster} {\it The Gordon Conference on Computational Methods in Biomolecular NMR}.) .
  4. L. Wang and R. Mettu and R. Lilien and A. Yan and B. R. Donald, Exact Solutions for Internuclear Vectors and Dihedral Angles from Two RDCs and Their Application in a Systematic Search Algorithm for Determining Protein Backbone Structure (2004) ({\poster} {\it The Gordon Conference on Computational Methods in Biomolecular NMR}.) .
  5. Ryan H. Lilien and Mohini Sridharan and Bruce R. Donald, {Identification of Novel Small Molecule Inhibitors of Core-Binding Factor Dimerization by Computational Screening against NMR Molecular Ensembles} no. TR2004-492 (2004) [pdf] .
  6. B. R. Donald, Plenary lecture: Algorithmic Challenges in Structural Molecular Biology and Proteomics, in Proceedings of the Sixth International Workshop on the Algorithmic Foundations of Robotics (WAFR) (2004), pp. 1--10, University of Utrecht .
  7. C. Langmead and B. R. Donald, High-Throughput 3D homology Detection via NMR Resonance Assignment, in Currents in Computational Molecular Biology, 2004, Eighth Annual International Conference on Research in Computational Molecular Biology (RECOMB), edited by A. Gramada and P. Bourne (2004), pp. 522 .
  8. A. Yan and C. Langmead and B. R. Donald, A Probability-Based Similarity Measure for Saupe Alignment Tensors with Applications to Residual Dipolar Couplings in NMR Structural Biology, in Currents in Computational Molecular Biology, 2004, Eighth Annual International Conference on Research in Computational Molecular Biology (RECOMB), edited by A. Gramada and P. Bourne (2004), pp. 437--438 .
  9. L. Wang and B. R. Donald, Analysis of a Systematic Search-Based Algorithm for Determining Protein Backbone Structure from a Minimal Number of Residual Dipolar Couplings, in Proceedings of the IEEE Computational Systems Bioinformatics Conference (CSB) (2004), pp. 319--330 .
  10. A. Anderson and R. Lilien and V. Popov and B. R. Donald, Ensembles of Active Site Conformations Allow Structure-Based Redesign and Drug Design (2003) ({\poster} {\it 225th American Chemical Society National Meeting}.) .
  11. Christopher J. Langmead and Bruce R. Donald, {An Improved Nuclear Vector Replacement Algorithm for Nuclear Magnetic Resonance Assignment} no. TR2004-494 (2003) [pdf] .
  12. B. R. Donald and C. Levey and C. McGray and D. Rus and M. Sinclair, Untethered Micro-Actuators for Autonomous Micro-robot Locomotion: Design, Fabrication, Control, and Performance, in Proceedings of the 11th {\it International Symposium of Robotics Research} (2003) .
  13. R. Lilien and A. Anderson and B. Donald, Modeling Protein Flexibility for Structure-Based Active Site Redesign, in Currents in Computational Molecular Biology, The Sixth Annual International Conference on Research in Computational Molecular Biology (RECOMB), edited by L. Florea and others (2002), pp. 122-123 .
  14. C. J. Langmead and B. R. Donald, Time-frequency Analysis of Protein NMR Data (2000) ({\poster} {\it The 8th Int'l Conf. on Intelligent Sys. for Mol. Biol. ({ISMB-2000})}.) .
  15. C. Bailey-Kellogg and A. Widge and J. J. {Kelley III} and M. J. Berardi and J. H. Bushweller and B. R. Donald, The NOESY Jigsaw: Automated Protein Secondary Structure and Main-Chain Assignment from Sparse, Unassigned NMR Data (2000) ({\poster} {\it The 8th Int'l Conf. on Intelligent Sys. for Mol. Biol. ({ISMB-2000})}.) .
  16. R. Lilien and M. Sridharan and X. Huang and J. H. Bushweller and B. R. Donald, Computational Screening Studies for Core Binding Factor Beta: Use of Multiple Conformations to Model Receptor Flexibility (2000) ({\poster} {\it The 8th Int'l Conf. on Intelligent Sys. for Mol. Biol. ({ISMB-2000})}.) .
  17. C. Bailey-Kellogg and A. Widge and J. J. {Kelley III} and M. J. Berardi and J. H. Bushweller and B. R. Donald, The NOESY Jigsaw: Automated Protein Secondary Structure and Main-Chain Assignment from Sparse, Unassigned NMR Data, in The Fourth Annual International Conference on Research in Computational Molecular Biology ({RECOMB-2000}) (2000), pp. 33--44 .
  18. C. Bailey-Kellogg and F. Zhao and B. R. Donald, Spatial Aggregation in Scientific Data Mining, in Proceedings of the First SIAM Conference on Computational Science and Engineering (2000) .
  19. K.-F.~B{\"o}hringer and B.~R.~Donald and N.~C.~MacDonald, {\em Programmable Vector Fields for Distributed Manipulation, with Applications to MEMS Actuator Arrays and Vibratory Parts Feeders}, International Journal of Robotics Research, vol. 18 no. 2 (1999) .
  20. K.-F.~B{\"o}hringer and B.~R.~Donald and F.~Lamiraux and L.~Kavraki, Part Orientation with One or Two Stable Equilibria Using Programmable Force Fields, in IEEE International Conference on Robotics and Automation, Workshop on Distributed Manipulation (1999) .
  21. K.-F. B{\"o}hringer and B. R. Donald and F. Lamiraux and L. Kavraki, Part Orientation with One or Two Stable Equilibria Using Programmable Vector Fields, in IEEE International Conference on Robotics and Automation, Workshop on Distributed Manipulation (1999) .
  22. K.-F.~B{\"o}hringer and B.~R.~Donald and F.~Lamiraux and L.~Kavraki, A Single Universal Force Field Can Uniquely Pose Any Part Up To Symmetry, in 9th International Symposium of Robotics Research (ISRR) (1999) .
  23. B. R. Donald and L. Gariepy and D. Rus, Experiments in Constrained Prehensile Manipulation: Distributed Manipulation with Ropes, in IEEE International Conference on Robotics and Automation, Workshop on Distributed Manipulation (1999) .
  24. J.~Suh and B.~Darling and K.-F.~B{\"o}hringer and B.~R.~Donald and H.~Baltes and G.~Kovacs, CMOS Integrated Organic Ciliary Actuator Array as a General-Purpose Micromanipulation Tool, in IEEE International Conference on Robotics and Automation, Workshop on Distributed Manipulation (1999) .
  25. K.-F. B{\"o}hringer and B. R. Donald, Algorithmic MEMS, in Proceedings of the 3rd International Workshop on the Algorithmic Foundations of Robotics WAFR (1998) .
  26. A. Briggs and B. R. Donald, Robust Geometric Algorithms for Sensor Planning, in Proceedings of the International Workshop on the Algorithmic Foundations of Robotics WAFR (1996) .
  27. B. R. Donald and J. Jennings and D. Rus, Cooperating Autonomous Mobile Robots: Theory and Experiments (1994) (Poster, {\it NSF Design and Manufacturing Grantees Conference}.) .
  28. B. R. Donald and D. Pai, The Motion of Planar Compliantly-Connected Rigid Bodies in Contact, with Applications to Automatic Fastening, International Journal of Robotics Research, vol. 12 no. 4 (1993), pp. 307--338 .
  29. R. Brown and P. Chew and B. R. Donald, Mobile Robots, Map-making, Shape Metrics, and Localization, in Proceedings of the International Association of Science and Technology for Development (IASTED) International Conference on Robotics and Manufacturing (1993) .
  30. J. Jennings and D. Rus and B. R. Donald, Experimental Information Invariants for Cooperating Autonomous Mobile Robots, in Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Dynamically Interacting Robots (1993) .
  31. B. R. Donald and J. Jennings and D. Rus, Towards a Theory of Information Invariants for Cooperating Autonomous Mobile Robots, in Proceedings of the International Symposium of Robotics Research ISRR (1993) .
  32. B. R. Donald, Robot Motion Planning, IEEE Trans. on Robotics and Automation, vol. 8 no. 2 (1992) .
  33. J. Canny and B. R. Donald and G. Ressler, A Rational Rotation Method for Robust Geometric Algorithms, in Proc. ACM Symposium on Computational Geometry (1992), pp. 251--260 .
  34. J. Jennings and B. R. Donald, Programming Autonomous Agents: A theory of Perceptual Equivalence, in Proceedings of the 1st AAAI Fall Symposium on Sensory Aspects of Robotic Intelligence (1991) .
  35. B. R. Donald and P. Xavier, A Provably Good Approximation Algorithm for Optimal-Time Trajectory Planning, in Proc. IEEE International Conference on Robotics and Automation (1989), pp. 958--964 .
  36. B. R. Donald, The Complexity of Planar Compliant Motion Planning with Uncertainty, in Proc. 4th ACM Symposium on Computational Geometry (1988), pp. 309--318 .
  37. B. R. Donald, A Theory of Error Detection and Recovery: Robot Motion Planning with Uncertainty in the Geometric Models of the Robot and Environment, in Proceedings of the International Workshop on Geometric Reasoning (1986) .

Dunson, David B.   (search)

  1. Huang, J; Morsomme, R; Dunson, D; Xu, J, Detecting changes in the transmission rate of a stochastic epidemic model., Statistics in medicine (February, 2024) [doi]  [abs].
  2. Melikechi, O; Dunson, DB, Ellipsoid fitting with the Cayley transform., IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society, vol. 72 (January, 2024), pp. 70-83 [doi]  [abs].
  3. Datta, J; Banerjee, S; Dunson, DB, Nonparametric Bayes multiresolution testing for high-dimensional rare events, Journal of Nonparametric Statistics (January, 2024) [doi]  [abs].
  4. Winter, S; Campbell, T; Lin, L; Srivastava, S; Dunson, DB, Emerging Directions in Bayesian Computation, Statistical Science, vol. 39 no. 1 (January, 2024), pp. 62-89 [doi]  [abs].
  5. Buch, DA; Johndrow, JE; Dunson, DB, Explaining transmission rate variations and forecasting epidemic spread in multiple regions with a semiparametric mixed effects SIR model., Biometrics, vol. 79 no. 4 (December, 2023), pp. 2987-2997 [doi]  [abs].
  6. Xu, J; Li, Y; Yang, H; Dunson, D; Daubechies, I, PiPs: A kernel-based optimization scheme for analyzing non-stationary 1D signals, Applied and Computational Harmonic Analysis, vol. 66 (September, 2023), pp. 1-17 [doi]  [abs].
  7. Rigon, T; Herring, AH; Dunson, DB, A generalized Bayes framework for probabilistic clustering, Biometrika, vol. 110 no. 3 (September, 2023), pp. 559-578 [doi]  [abs].
  8. Liu, R; Li, M; Dunson, DB, PPA: Principal parcellation analysis for brain connectomes and multiple traits., NeuroImage, vol. 276 (August, 2023), pp. 120214 [doi]  [abs].
  9. Talbot, A; Dunson, D; Dzirasa, K; Carlson, D, Estimating a brain network predictive of stress and genotype with supervised autoencoders., J R Stat Soc Ser C Appl Stat, vol. 72 no. 4 (August, 2023), pp. 912-936 [doi]  [abs].
  10. Jin, B; Dunson, DB; Rager, JE; Reif, DM; Engel, SM; Herring, AH, Bayesian matrix completion for hypothesis testing., Journal of the Royal Statistical Society. Series C, Applied statistics, vol. 72 no. 2 (May, 2023), pp. 254-270 [doi]  [abs].
  11. Mahzarnia, A; Stout, JA; Anderson, RJ; Moon, HS; Yar Han, Z; Beck, K; Browndyke, JN; Dunson, DB; Johnson, KG; O'Brien, RJ; Badea, A, Identifying vulnerable brain networks associated with Alzheimer's disease risk., Cereb Cortex, vol. 33 no. 9 (April, 2023), pp. 5307-5322 [doi]  [abs].
  12. Gu, Y; Dunson, DB, Bayesian Pyramids: identifiable multilayer discrete latent structure models for discrete data, Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 85 no. 2 (April, 2023), pp. 399-426 [doi]  [abs].
  13. Zito, A; Rigon, T; Dunson, DB, Inferring taxonomic placement from DNA barcoding aiding in discovery of new taxa, Methods in Ecology and Evolution, vol. 14 no. 2 (February, 2023), pp. 529-542 [doi]  [abs].
  14. Zito, A; Rigon, T; Ovaskainen, O; Dunson, DB, Bayesian Modeling of Sequential Discoveries., Journal of the American Statistical Association, vol. 118 no. 544 (January, 2023), pp. 2521-2532 [doi]  [abs].
  15. Papadogeorgou, G; Bello, C; Ovaskainen, O; Dunson, DB, Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions, Journal of the American Statistical Association, vol. 118 no. 544 (January, 2023), pp. 2250-2261 [doi]  [abs].
  16. Barrientos, AF; Sen, D; Page, GL; Dunson, DB, Bayesian Inferences on Uncertain Ranks and Orderings: Application to Ranking Players and Lineups, Bayesian Analysis, vol. 18 no. 3 (January, 2023), pp. 777-806 [doi]  [abs].
  17. Sachs, M; Sen, D; Lu, J; Dunson, D, Posterior Computation with the Gibbs Zig-Zag Sampler, Bayesian Analysis, vol. 18 no. 3 (January, 2023), pp. 909-927 [doi]  [abs].
  18. Li, D; Nguyen, P; Zhang, Z; Dunson, D, Tree representations of brain structural connectivity via persistent homology., Frontiers in neuroscience, vol. 17 (January, 2023), pp. 1200373 [doi]  [abs].
  19. Chakraborty, A; Ou, R; Dunson, DB, Bayesian Inference on High-Dimensional Multivariate Binary Responses, Journal of the American Statistical Association (January, 2023) [doi]  [abs].
  20. Young, AL; van den Boom, W; Schroeder, RA; Krishnamoorthy, V; Raghunathan, K; Wu, H-T; Dunson, DB, Mutual information: Measuring nonlinear dependence in longitudinal epidemiological data., PLoS One, vol. 18 no. 4 (2023), pp. e0284904 [doi]  [abs].

Fair, Richard B.

  1. R. B. Fair and M. A. Shannon and O. K. Tan and O. Geschke and C. H. Ahn and O. Kaynak and M. J. Vellekoop, Introduction for the special issue on sensors for microfluidic analysis systems, Ieee Sensors Journal, vol. 8 no. 5-6 (2008), pp. 427 -- 429 .
  2. L. Luan and R. D. Evans and N. M. Jokerst and R. B. Fair, Integrated optical sensor in a digital microfluidic platform, Ieee Sensors Journal, vol. 8 no. 5-6 (2008), pp. 628 -- 635  [abs].
  3. R. B. Fair and A. Khlystov and T. D. Tailor and V. Ivanov and R. D. Evans and P. B. Griffin and V. Srinivasan and V. K. Pamula and M. G. Pollack and J. Zhou, Chemical and biological applications of digital-microfluidic devices, Ieee Design & Test Of Computers, vol. 24 no. 1 (2007), pp. 10 -- 24 .
  4. Fair, R.B. and Pappas, P.N., Diffusion of ion-implanted B in high concentration P- and As-doped silicon, J. Electrochem. Soc. (USA), vol. 122 no. 9 , pp. 1241 - 4  [abs].
  5. Tsai, J.C.C. and Schimmel, D.G. and Ahrens, R.E. and Fair, R.B., Point defect generation during phosphorus diffusion in silicon. II. Concentrations below solid solubility, ion-implanted phosphorus, J. Electrochem. Soc. (USA), vol. 134 no. 9 , pp. 2348 - 56  [abs].
  6. Fair, R.B. and Manda, M.L. and Wortman, J.J., The diffusion of antimony in heavily doped and n- and p-type silicon, J. Mater. Res. (USA), vol. 1 no. 5 , pp. 705 - 11  [abs].

Farsiu, Sina   (search)

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  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].
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  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].
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  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].
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Franklin, Aaron D.

  1. Smith, BN; Ballentine, P; Doherty, JL; Wence, R; Hobbie, HA; Williams, NX; Franklin, AD, Aerosol Jet Printing Conductive 3D Microstructures from Graphene Without Post-Processing., Small (Weinheim an der Bergstrasse, Germany), vol. 20 no. 12 (March, 2024), pp. e2305170 [doi]  [abs].
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  3. 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].
  4. Huegen, BL; Doherty, JL; Smith, BN; Franklin, AD, Role of Electrode Configuration and Morphology in Printed Prothrombin Time Sensors., Sensors and actuators. B, Chemical, vol. 399 (January, 2024), pp. 134785 [doi]  [abs].
  5. Rich, J; Cole, B; Li, T; Lu, B; Fu, H; Smith, BN; Xia, J; Yang, S; Zhong, R; Doherty, JL; Kaneko, K; Suzuki, H; Tian, Z; Franklin, AD; Huang, TJ, Aerosol jet printing of surface acoustic wave microfluidic devices., Microsystems & nanoengineering, vol. 10 (January, 2024), pp. 2 [doi]  [abs].
  6. Cheng, Z; Backman, J; Zhang, H; Abuzaid, H; Li, G; Yu, Y; Cao, L; Davydov, AV; Luisier, M; Richter, CA; Franklin, AD, Distinct Contact Scaling Effects in MoS2 Transistors Revealed with Asymmetrical Contact Measurements., Advanced materials (Deerfield Beach, Fla.), vol. 35 no. 21 (May, 2023), pp. e2210916 [doi]  [abs].
  7. Lu, S; Smith, BN; Meikle, H; Therien, MJ; Franklin, AD, All-Carbon Thin-Film Transistors Using Water-Only Printing., Nano letters, vol. 23 no. 6 (March, 2023), pp. 2100-2106 [doi]  [abs].
  8. McDonnell, C; Albarghouthi, FM; Selhorst, R; Kelley-Loughnane, N; Franklin, AD; Rao, R, Aerosol Jet Printed Surface-Enhanced Raman Substrates: Application for High-Sensitivity Detection of Perfluoroalkyl Substances., ACS omega, vol. 8 no. 1 (January, 2023), pp. 1597-1605 [doi]  [abs].
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Gehm, Michael E.

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  5. Ruiz, SD; Hurlock, AX; Yang, S; Martinez, M; Thamvichai, R; Greenberg, JA; Ashok, A; Gehm, ME, Simulation and information-theoretic analysis of a hybrid CT+XRD imaging system, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12531 (January, 2023) [doi]  [abs].
  6. Martinez, M; Stohn, A; Gehm, M, Imaging asymmetry in the presence of a bright interferent, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12693 (January, 2023) [doi]  [abs].
  7. Stohn, A; Boyarsky, M; Martinez, M; Gehm, ME, Towards creation of an asymmetric vision environment, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12693 (January, 2023) [doi]  [abs].

George, Rhett T.

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Glass, Jeffrey T.

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Grill, Warren M

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Harer, John

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Johnson, Kristina M

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Joines, William T.

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Jokerst, Nan M.

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Kaiser, James F.

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Katsouleas, Thomas C.

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Kim, Jungsang

  1. Zhao, L; Goings, J; Shin, K; Kyoung, W; Fuks, JI; Kevin Rhee, JK; Rhee, YM; Wright, K; Nguyen, J; Kim, J; Johri, S, Orbital-optimized pair-correlated electron simulations on trapped-ion quantum computers, npj Quantum Information, vol. 9 no. 1 (December, 2023) [doi]  [abs].
  2. Whitlow, J; Jia, Z; Wang, Y; Fang, C; Kim, J; Brown, KR, Quantum simulation of conical intersections using trapped ions., Nature chemistry, vol. 15 no. 11 (November, 2023), pp. 1509-1514 [doi]  [abs].
  3. Sun, K; Fang, C; Kang, M; Zhang, Z; Zhang, P; Beratan, DN; Brown, KR; Kim, J, Quantum Simulation of Polarized Light-Induced Electron Transfer with a Trapped-Ion Qutrit System., The journal of physical chemistry letters, vol. 14 no. 26 (July, 2023), pp. 6071-6077 [doi]  [abs].
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  5. Kang, M; Wang, Y; Fang, C; Zhang, B; Khosravani, O; Kim, J; Brown, KR, Designing Filter Functions of Frequency-Modulated Pulses for High-Fidelity Two-Qubit Gates in Ion Chains, Physical Review Applied, vol. 19 no. 1 (January, 2023) [doi]  [abs].
  6. Aikyo, Y; Sun, K; Ranawat, K; Vrijsen, G; Kim, J, Sympathetic Cooling of Trapped Yb+ Ion Chain, 2023 Conference on Lasers and Electro-Optics, CLEO 2023 (January, 2023)  [abs].
  7. Van Horn, A; Gabaldon, H; Kim, J; Brown, KR, Control Infrastructure for Near-Term Long-Chain QCCD, Proceedings - 2023 IEEE International Conference on Quantum Computing and Engineering, QCE 2023, vol. 2 (January, 2023), pp. 357-358 [doi]  [abs].
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Konidaris, George D.

  1. Lobel, S; Rammohan, S; He, B; Yu, S; Konidaris, G, Q-functionals for Value-Based Continuous Control, Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, vol. 37 (June, 2023), pp. 8932-8939  [abs].
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Krolik, Jeffrey L.

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Lebeck, Alvin R.   (search)

  1. Snyder, J; Lebeck, AR; Zhuo, D, RDMA Congestion Control: It Is Only for the Compliant, IEEE Micro, vol. 43 no. 1 (January, 2023), pp. 76-82, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].
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Lo, Joseph

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Maggioni, Mauro

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Maggs, Bruce

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Massoud, Hisham Z.

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McCumber, Dean E.

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Nolte, Loren W.

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Owen Jr., Harry A.

  1. Chen, D.Y. and Owen, H.A., Jr. and Wilson, T.G., Design of two-winding voltage step-up/current step-up constant-frequency DC-to-DC converters, IEEE Trans. Magn. (USA), vol. Mag-9 no. 3 , pp. 252 - 6  [abs].
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Pajic, Miroslav

  1. Yang, X; Wang, Z; Hu, XS; Kim, CH; Yu, S; Pajic, M; Manohar, R; Chen, Y; Li, HH, Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design, IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 71 no. 3 (March, 2024), pp. 1683-1689 [doi]  [abs].
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  5. Eom, S; Janamsetty, R; Hadziahmetovic, M; Pajic, M; Gorlatova, M, Demo Abstract: Edge-based Augmented Reality Guidance System for Retinal Laser Therapy via Feature Matching, IPSN 2023 - Proceedings of the 2023 22nd International Conference on Information Processing in Sensor Networks (May, 2023), pp. 366-367 [doi]  [abs].
  6. Hallyburton, RS; Zhang, S; Pajic, M, AVstack: An Open-Source, Reconfigurable Platform for Autonomous Vehicle Development, ICCPS 2023 - Proceedings of the 2023 ACM/IEEE 14th International Conference on Cyber-Physical Systems with CPS-IoT Week 2023 (May, 2023), pp. 209-220 [doi]  [abs].
  7. Hallyburton, RS; Zelter, N; Hunt, D; Angell, K; Pajic, M, Modular Platform For Collaborative, Distributed Sensor Fusion, ICCPS 2023 - Proceedings of the 2023 ACM/IEEE 14th International Conference on Cyber-Physical Systems with CPS-IoT Week 2023 (May, 2023), pp. 268-269 [doi]  [abs].
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Pfister, Henry

  1. Coskun, MC; Liva, G; Graell I Amat, A; Lentmaier, M; Pfister, HD, Successive Cancellation Decoding of Single Parity-Check Product Codes: Analysis and Improved Decoding, Ieee Transactions on Information Theory, vol. 69 no. 2 (February, 2023), pp. 823-841, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs].

Pitsianis, Nikos

  1. Naserentin, V; Spaias, G; Kaimakamidis, A; Pitsianis, N; Logg, A, A Review and Case Study of Neural Network Techniques for Automated Generation of High Level-of-Detail 3D City Models, Springer Proceedings in Mathematics and Statistics, vol. 429 (January, 2023), pp. 261-283 [doi]  [abs].
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Reeves, Galen

  1. Reeves, G; Pfister, HD, Reed-Muller Codes on BMS Channels Achieve Vanishing Bit-Error Probability for all Rates Below Capacity, IEEE Transactions on Information Theory, vol. 70 no. 2 (February, 2024), pp. 920-949 [doi]  [abs].
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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].
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  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].
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  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].
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  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].
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  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] .
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  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] .
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  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].
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  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].
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Samulski, T.V.

  1. 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].
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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].
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Sorin, Daniel J.

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Stiff-Roberts, Adrienne D.

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Trivedi, Kishor S.   (search)

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Wilson, Thomas G

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Yang, Xiaowei

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