Ph.D. Student, Department of Electrical and Computer Engineering
Johns Hopkins University
[1] “Genetic influences on brain structure”, OHBM-2010, Barcelona.
July 2017 Sayan Ghosal, Nilanjan Ray, Deep deformable registration: Enhancing accuracy by fully convolutional neural net, Pattern Recognition Letters, Volume 94, 2017, Pages 81-86, ISSN 0167-8655, https://doi.org/10.1016/j.patrec.2017.05.022.
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S. Ghosal, et al., "G-MIND: An End-to-End Multimodal Imaging-Genetics Framework for Biomarker Identification and Disease Classification", Proc. SPIE, Medical Imaging 2021: Image Processing. Selected for Special Oral Presentation ("Deep Dive")
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S. Ghosal, Q. Chen, A.L. Goldman, W. Ulrich, K.F. Berman, D.R. Weinberger, V.S. Mattay and A. Venkataraman. Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional Framework. To Appear in MICCAI: International Conference on Medical Image Computing and Computer Assisted Intervention, 2019. Selected for Early Acceptance
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S. Ghosal, Q. Chen, A.L. Goldman, W. Ulrich, D.R. Weinberger, V.S. Mattay and A. Venkataraman. A Generative-Predictive Framework to Capture Altered Brain Activity in fMRI and its Association with Genetic Risk: Application to Schizophrenia. In Proc. SPIE Medical Imaging, col. 10949, 2019.
S. Ghosal, S. Banerjee, N. Tiso, E. Grisan and A. S. Chowdhury, "A novel non-rigid registration algorithm for zebrafish larval images," 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, 2017, pp. 321-324.
doi: 10.1109/EMBC.2017.8036827
A. Rakshit, R. Lahiri, S. Ghosal, A. Sarkar, S. Ghosh and A. Konar, "Robotic link position control using brain computer interface," 2016 International Conference on Microelectronics, Computing and Communications (MicroCom), Durgapur, 2016, pp. 1-6.
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