Research Interests for Guillermo Sapiro
Research Interests:
Image and video processing, computer vision, computer graphics,
computational vision, biomedical imaging, brain imaging,
cryo-tomography of viruses, computational tools in cryo-tomography,
computational tools in early diagnosis of psychiatric disorders,
differential geometry and differential equations, scientific
computation, learning and high dimensional data analysis, sparse
modeling and dictionary learning, applied mathematics. - Recent Publications
- Solomon, O; Palnitkar, T; Patriat, R; Braun, H; Aman, J; Park, MC; Vitek, J; Sapiro, G; Harel, N, Deep-learning based fully automatic segmentation of the globus pallidus interna and externa using ultra-high 7 Tesla MRI.,
Human Brain Mapping
(March, 2021) [doi] [abs]
- Carpenter, KLH; Hahemi, J; Campbell, K; Lippmann, SJ; Baker, JP; Egger, HL; Espinosa, S; Vermeer, S; Sapiro, G; Dawson, G, Digital Behavioral Phenotyping Detects Atypical Pattern of Facial Expression in Toddlers with Autism.,
Autism Res, vol. 14 no. 3
(March, 2021),
pp. 488-499 [doi] [abs]
- Perochon, S; Di Martino, M; Aiello, R; Baker, J; Carpenter, K; Chang, Z; Compton, S; Davis, N; Eichner, B; Espinosa, S; Flowers, J; Franz, L; Gagliano, M; Harris, A; Howard, J; Kollins, SH; Perrin, EM; Raj, P; Spanos, M; Walter, B; Sapiro, G; Dawson, G, A scalable computational approach to assessing response to name in toddlers with autism.,
The Journal of Child Psychology and Psychiatry and Allied Disciplines
(February, 2021) [doi] [abs]
- Emani, PS; Warrell, J; Anticevic, A; Bekiranov, S; Gandal, M; McConnell, MJ; Sapiro, G; Aspuru-Guzik, A; Baker, JT; Bastiani, M; Murray, JD; Sotiropoulos, SN; Taylor, J; Senthil, G; Lehner, T; Gerstein, MB; Harrow, AW, Quantum computing at the frontiers of biological sciences.,
Nature Methods
(January, 2021) [doi]
- Hashemi, J; Dawson, G; Carpenter, KLH; Campbell, K; Qiu, Q; Espinosa, S; Marsan, S; Baker, JP; Egger, HL; Sapiro, G, Computer Vision Analysis for Quantification of Autism Risk Behaviors,
Ieee Transactions on Affective Computing, vol. 12 no. 1
(January, 2021),
pp. 215-226, Institute of Electrical and Electronics Engineers (IEEE) [doi] [abs]
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