Technical Considerations for Semantic Segmentation in MRI using
Convolutional Neural Networks

Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks

5 February 2019

Akshay S. Chaudhari

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Papers citing "Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks"

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Title
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning J. Dominic Nandita Bhaskhar Arjun D Desai Andrew M Schmidt E. Rubin ... G. Gold B. Hargreaves L. Lenchik R. Boutin Akshay S. Chaudhari 153 0 0 14 Oct 2022
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation Arjun D Desai Andrew M Schmidt E. Rubin Christopher M. Sandino Marianne S. Black ... R. Boutin Christopher Ré G. Gold B. Hargreaves Akshay S. Chaudhari 200 81 0 14 Mar 2022
Open source software for automatic subregional assessment of knee cartilage degradation using quantitative T2 relaxometry and deep learning Kevin A. Thomas D. Krzemiński Łukasz Kidziński Rohan Paul E. Rubin Eni Halilaj Marianne S. Black Akshay S. Chaudhari G. Gold Scott L. Delp 73 9 0 22 Dec 2020
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset Arjun D Desai Francesco Calivá C. Iriondo Naji Khosravan Aliasghar Mortazi ... R. Regatte G. Gold B. Hargreaves V. Pedoia Akshay S. Chaudhari 198 67 0 29 Apr 2020
Social and Governance Implications of Improved Data EfficiencyAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2020 Aaron David Tucker Markus Anderljung Allan Dafoe 200 14 0 14 Jan 2020
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation E. Panfilov A. Tiulpin S. Klein M. Nieminen S. Saarakkala OOD 243 84 0 12 Aug 2019