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Sibaji Gaj
Sibaji Gaj
Staff Engineer, Qualcomm
Verified email at qti.qualcomm.com
Title
Cited by
Cited by
Year
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
952020
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
502021
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
282017
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
242015
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
222016
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
172022
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
172022
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
162021
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
162020
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
152019
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
142020
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
132017
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
122024
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
82016
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
62016
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
52016
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
42020
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
32022
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
22023
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
22023
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