S. Gaj

发表

A multi-institute automated segmentation evaluation on a standard dataset: Findings from the international workshop on osteoarthritis imaging segmentation challenge

Mehmet Akcakaya, Drew A. Torigian, Akshay Pai, 2020 .

Multi-vendor Multi-site Quantitative MRI Analysis of Cartilage Degeneration 10 Years after Anterior Cruciate Ligament Reconstruction: MOON-MRI Protocol and Preliminary Results.

N. Obuchowski, M. Knopp, C. Kaeding, 2022, Osteoarthritis and cartilage.

OpenKBP-Opt: an international and reproducible evaluation of 76 knowledge-based planning pipelines

Victor G. L. Alves, Skylar S. Gay, J. Siebers, 2022, Physics in medicine and biology.

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset pdf

Mehmet Akcakaya, Akshay Pai, Ulas Bagci, 2020, Radiology. Artificial intelligence.

Towards Automatic Cartilage Quantification in Clinical Trials – Continuing from the 2019 IWOAI Knee Segmentation Challenge

Arjun D Desai, C. Igel, B. Hargreaves, 2023, Osteoarthritis Imaging.

Automated knee cartilage segmentation for heterogeneous clinical MRI using generative adversarial networks with transfer learning.

C. Çolak, N. Subhas, Morgan H. Jones, 2021, Quantitative imaging in medicine and surgery.

Automated cartilage and meniscus segmentation of knee MRI with conditional generative adversarial networks

Sibaji Gaj, Mingrui Yang, Kunio Nakamura, 2019, Magnetic resonance in medicine.

Quantitative CTA vascular calcification, atherosclerosis burden, and stroke mechanism in patients with ischemic stroke

Kunio Nakamura, K. Uchino, S. Man, 2023, Journal of the Neurological Sciences.

A robust watermarking scheme against re-compression attack for H.265/HEVC

Arijit Sur, Prabin Kumar Bora, Sibaji Gaj, 2015, 2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG).

A robust watermarking scheme against frame blending and projection attacks

Arijit Sur, Prabin Kumar Bora, Sibaji Gaj, 2017, Multimedia Tools and Applications.

Automatic segmentation of gadolinium-enhancing lesions in multiple sclerosis using deep learning from clinical MRI

Kunio Nakamura, D. Ontaneda, S. Gaj, 2021, PloS one.

Deep learning‐based automatic pipeline for quantitative assessment of thigh muscle morphology and fatty infiltration

Kunio Nakamura, K. Spindler, C. Winalski, 2023, Magnetic resonance in medicine.

Knee Osteoarthritis Severity Prediction using an Attentive Multi-Scale Deep Convolutional Neural Network pdf

Arijit Sur, Sibaji Gaj, Prasen Kumar Sharma, 2021, Multim. Tools Appl..

A Robust Watermarking Scheme against Frame Blending, Projection and Content Adaptation Attacks

Arijit Sur, Prabin Kumar Bora, Sibaji Gaj, 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Watermarking schemes for high definition videos

Sibaji Gaj, S. Gaj, 2017 .

Prediction mode based H.265/HEVC video watermarking resisting re-compression attack

Arijit Sur, Prabin Kumar Bora, Sibaji Gaj, 2020, Multimedia Tools and Applications.