| Deep deformable registration: Enhancing accuracy by fully convolutional neural net S Ghosal, N Ray Pattern Recognition Letters 94, 81-86, 2017 | 44 | 2017 |
| A biologically interpretable graph convolutional network to link genetic risk pathways and neuroimaging markers of disease S Ghosal, Q Chen, G Pergola, AL Goldman, W Ulrich, DR Weinberger, ... bioRxiv, 2021.05. 28.446066, 2021 | 13 | 2021 |
| G-MIND: an end-to-end multimodal imaging-genetics framework for biomarker identification and disease classification S Ghosal, Q Chen, G Pergola, AL Goldman, W Ulrich, KF Berman, G Blasi, ... Medical Imaging 2021: Image Processing 11596, 63-72, 2021 | 13 | 2021 |
| A generative-discriminative framework that integrates imaging, genetic, and diagnosis into coupled low dimensional space S Ghosal, Q Chen, G Pergola, AL Goldman, W Ulrich, KF Berman, G Blasi, ... Neuroimage 238, 118200, 2021 | 9 | 2021 |
| Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional Framework S Ghosal, Q Chen, AL Goldman, W Ulrich, KF Berman, DR Weinberger, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 8 | 2019 |
| Robotic link position control using brain computer interface A Rakshit, R Lahiri, S Ghosal, A Sarkar, S Ghosh, A Konar 2016 International Conference on Microelectronics, Computing and …, 2016 | 5 | 2016 |
| A generative-predictive framework to capture altered brain activity in fMRI and its association with genetic risk: application to Schizophrenia S Ghosal, Q Chen, AL Goldman, W Ulrich, KF Berman, DR Weinberger, ... Medical Imaging 2019: Image Processing 10949, 565-575, 2019 | 3 | 2019 |
| Interpretable Machine Learning and Deep Learning Frameworks for Predictive Analytics and Biomarker Discovery from Multimodal Imaging Genetics Data S Ghosal Johns Hopkins University, 2023 | 1 | 2023 |
| A novel non-rigid registration algorithm for zebrafish larval images S Ghosal, S Banerjee, N Tiso, E Grisan, AS Chowdhury 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 1 | 2017 |
| Subpopulation based patient risk prediction using graph attention networks S Ghosal, AJ Jacob, P Sharma, MA Gulsun US Patent App. 17/647,613, 2023 | | 2023 |
| GIRUS-net: A Multimodal Deep Learning Model Identifying Imaging and Genetic Biomarkers Linked to Alzheimer’s Disease Severity S Wu, A Venkataraman, S Ghosal 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
| BEATRICE: Bayesian Fine-mapping from Summary Data using Deep Variational Inference S Ghosal, MC Schatz, A Venkataraman bioRxiv, 2023 | | 2023 |
| ABiologically INTERPRETABLE GRAPH CONVOLU-TIONAL NETWORK TO LINK GENETIC RISK PATHWAYS AND NEUROIMAGING MARKERS OF DISEASE S Ghosal, Q Chen, G Pergola, AL Goldman, W Ulrich, DR Weinberger, ... | | |
| Cine Image Based Cardiac Disease Classification Using Random Forest Classifier and Graph Based Deep Learning Approach A Varga-Szemes, T Chitiboi, UJ Schoepf, AJ Jacob, S Ghosal, F Xiong, ... | | |
Archana VenkataramanJohns Hopkins University在 jhu.edu 的电子邮件经过验证
