| A multimodal cell census and atlas of the mammalian primary motor cortex Principal manuscript editors, Analysis coordination, ... Nature 598 (7879), 86-102, 2021 | 463 | 2021 |
| Cellular anatomy of the mouse primary motor cortex R Muñoz-Castañeda, B Zingg, K Matho, Q Wang, X Chen, N Foster, ... Nature 598, 159-166, 2021 | 265 | 2021 |
| Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder–decoder deep networks S Banerjee, L Magee, D Wang, X Li, BX Huo, J Jayakumar, K Matho, ... Nature Machine Intelligence 2 (10), 585-594, 2020 | 59 | 2020 |
| A guide to the BRAIN Initiative Cell Census Network data ecosystem M Hawrylycz, ME Martone, GA Ascoli, JG Bjaalie, HW Dong, SS Ghosh, ... PLoS biology 21 (6), e3002133, 2023 | 56 | 2023 |
| Mutual variation of information on Transfer-CNN for Face Recognition with degraded probe samples S Banerjee, S Das Neurocomputing 310, 399-315, 2018 | 38 | 2018 |
| LR-GAN for Degraded Face Recognition S Banerjee, S Das Pattern Recognition Letters 116, 246-253, 2018 | 21 | 2018 |
| Solving the where problem and quantifying geometric variation in neuroanatomy using generative diffeomorphic mapping DJ Tward, BDP Gray, X Li, BX Huo, S Banerjee, S Savoia, C Mezias, ... Nature Communications 16 (1), 10398, 2025 | 15* | 2025 |
| Face recognition in surveillance conditions with bag-of-words, using unsupervised domain adaptation S Banerjee, S Samanta, S Das Proceedings of the 2014 Indian Conference on Computer Vision Graphics and …, 2014 | 15 | 2014 |
| Pattern Recognition and Machine Intelligence: 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings BU Shankar, K Ghosh, DP Mandal, SS Ray, D Zhang, SK Pal Springer, 2017 | 14 | 2017 |
| Soft-margin learning for multiple feature-kernel combinations with domain adaptation, for recognition in surveillance face dataset S Banerjee, S Das Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 14 | 2016 |
| Domain adaptation with soft-margin multiple feature-kernel learning beats deep learning for surveillance face recognition S Banerjee, S Das arXiv preprint arXiv:1610.01374, 2016 | 12 | 2016 |
| SD-GAN: Structural and Denoising GAN reveals facial parts under occlusion S Banerjee, S Das arXiv preprint arXiv:2002.08448, 2020 | 8 | 2020 |
| PosIX-GAN: Generating multiple poses using GAN for pose-invariant face recognition A Bhattacharjee, S Banerjee, S Das Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 8 | 2018 |
| High precision automated detection of labeled nuclei in gigapixel resolution image data of mouse brain S Das, J Jayakumar, S Banerjee, J Ramaswamy, V Vangala, K Ram, ... | 7* | 2018 |
| MakeUpMirror: Mirroring make-ups and verifying faces post make-up S Banerjee, S Das IET Biometrics 7 (6), 598-605, 2018 | 6 | 2018 |
| Detection and skeletonization of single neurons and tracer injections using topological methods D Wang, L Magee, BX Huo, S Banerjee, X Li, J Jayakumar, MK Lin, ... arXiv preprint arXiv:2004.02755, 2020 | 4 | 2020 |
| Performance of Deep Learning Algorithms vs. Shallow Models, in Extreme Conditions - Some Empirical Studies S Banerjee, P Bhattarcharjee, S Das Pattern Recognition and Machine Intelligence 10597, 564-574, 2017 | 4 | 2017 |
| Deep Domain Adaptation for Face Recognition using images captured from surveillance cameras S Banerjee, A Bhattacharjee, S Das 2018 International Conference of the Biometrics Special Interest Group …, 2018 | 3 | 2018 |
| Detecting aircrafts from satellite images using saliency and conical pyramid based template representation S Banerjee, N Gupta, S Das, PR Chowdhury, LK Sinha Sādhanā 41 (10), 1155-1171, 2016 | 3 | 2016 |
| Unsupervised method of domain adaptation on representation of discriminatory regions of the face image for surveillance face datasets S Samanta, S Banerjee, S Das Proceedings of the 2nd International Conference on Perception and Machine …, 2015 | 3 | 2015 |
Sukhendu DasProfessor of Computer Science and Engg., IIT Madras, Chennai, IndiaVerified email at iitm.ac.in
