| Automated cartilage and meniscus segmentation of knee MRI with conditional generative adversarial networks S Gaj, M Yang, K Nakamura, X Li Magnetic Resonance in Medicine 84 (1), 437-449, 2020 | 96 | 2020 |
| The international workshop on osteoarthritis imaging knee MRI segmentation challenge: a multi-institute evaluation and analysis framework on a standardized dataset AD Desai, F Caliva, C Iriondo, A Mortazi, S Jambawalikar, U Bagci, ... Radiology: Artificial Intelligence 3 (3), e200078, 2021 | 52 | 2021 |
| Drift-compensated robust watermarking algorithm for H. 265/HEVC video stream S Gaj, A Kanetkar, A Sur, PK Bora ACM Transactions on Multimedia Computing, Communications, and Applications …, 2017 | 29 | 2017 |
| A robust watermarking scheme against re-compression attack for H. 265/HEVC S Gaj, A Sur, PK Bora 2015 Fifth National Conference on Computer Vision, Pattern Recognition …, 2015 | 24 | 2015 |
| Object based watermarking for H. 264/AVC video resistant to rst attacks S Gaj, AS Patel, A Sur Multimedia Tools and Applications 75, 3053-3080, 2016 | 22 | 2016 |
| OpenKBP-Opt: an international and reproducible evaluation of 76 knowledge-based planning pipelines A Babier, R Mahmood, B Zhang, VGL Alves, AM Barragán-Montero, ... Physics in Medicine & Biology 67 (18), 185012, 2022 | 18 | 2022 |
| Automated knee cartilage segmentation for heterogeneous clinical MRI using generative adversarial networks with transfer learning M Yang, C Colak, KK Chundru, S Gaj, A Nanavati, MH Jones, CS Winalski, ... Quantitative Imaging in Medicine and Surgery 12 (5), 2620, 2022 | 17 | 2022 |
| Automatic segmentation of gadolinium-enhancing lesions in multiple sclerosis using deep learning from clinical MRI S Gaj, D Ontaneda, K Nakamura PloS one 16 (9), e0255939, 2021 | 17 | 2021 |
| Quantification of the resolution of dispersion image in active MASW survey and automated extraction of dispersion curve J Taipodia, A Dey, S Gaj, D Baglari Computers & Geosciences 135, 104360, 2020 | 16 | 2020 |
| Prediction mode based H. 265/HEVC video watermarking resisting re-compression attack S Gaj, A Sur, PK Bora Multimedia Tools and Applications 79, 18089-18119, 2020 | 15 | 2020 |
| Object Memorability Prediction using Deep Learning: Location and Size Bias S Basavaraju, S Gaj, A Sur Journal of Visual Communication and Image Representation 59, 117-127, 2019 | 15 | 2019 |
| A robust watermarking scheme against frame blending and projection attacks S Gaj, AK Rathore, A Sur, PK Bora Multimedia Tools and Applications 76, 20755-20779, 2017 | 13 | 2017 |
| Knee osteoarthritis severity prediction using an attentive multi-scale deep convolutional neural network RK Jain, PK Sharma, S Gaj, A Sur, P Ghosh Multimedia Tools and Applications 83 (3), 6925-6942, 2024 | 12 | 2024 |
| Detection of fake 3D video using CNN S Rana, S Gaj, A Sur, PK Bora 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP …, 2016 | 8 | 2016 |
| A drift compensated reversible watermarking scheme for H. 265/HEVC S Gaj, S Rana, A Sur, PK Bora 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP …, 2016 | 6 | 2016 |
| View invariant 3D video watermarking using depth based embedding S Rana, S Gaj, A Sur 2016 International Conference on Digital Image Computing: Techniques and …, 2016 | 5 | 2016 |
| A multi-institute automated segmentation evaluation on a standard dataset: Findings from the international workshop on osteoarthritis imaging segmentation challenge A Desai, F Caliva, C Iriondo, N Khosravan, A Mortazi, S Jambawalikar, ... Osteoarthritis and Cartilage 28, S304-S305, 2020 | 4 | 2020 |
| Multi-vendor multi-site quantitative MRI analysis of cartilage degeneration 10 Years after anterior cruciate ligament reconstruction: MOON-MRI protocol and preliminary results D Xie, J Murray, R Lartey, S Gaj, J Kim, M Li, BL Eck, CS Winalski, ... Osteoarthritis and Cartilage 30 (12), 1647-1657, 2022 | 3 | 2022 |
| Quantitative CTA vascular calcification, atherosclerosis burden, and stroke mechanism in patients with ischemic stroke T Shimoyama, S Gaj, K Nakamura, S Kovi, S Man, K Uchino Journal of the Neurological Sciences 449, 120667, 2023 | 2 | 2023 |
| Deep learning‐based automatic pipeline for quantitative assessment of thigh muscle morphology and fatty infiltration S Gaj, BL Eck, D Xie, R Lartey, C Lo, W Zaylor, M Yang, K Nakamura, ... Magnetic Resonance in Medicine 89 (6), 2441-2455, 2023 | 2 | 2023 |
Arijit SurProfessor, Dept. of Computer Science and Engineering, Indian Institute of Technology GuwahatiZweryfikowany adres z iitg.ac.in
