WRIST: A WRist Image Segmentation Toolkit for carpal bone delineation from MRI. - Brent Foster; Anand A. Joshi; Marissa Borgese; Yasser Abdelhafez; Robert D. Boutin; Abhijit J. Chaudhari (Comput. Medical Imaging Graph., 2018)

Abdominal muscle segmentation from CT using a convolutional neural network. - Ka'Toria Edwards; Avneesh Chhabra; James D. Dormer; Phillip Jones; Robert D. Boutin; Leon Lenchik; Baowei Fei (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Genetic Algorithm based L4 Identification and Psoas Segmentation. - Namitha V. Benjamin; Robert D. Boutin; Abhijit J. Chaudhari; Kwan-Liu Ma (BIOIMAGING, 2021)

SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation. - Arjun D. Desai; Andrew M. Schmidt; Elka B. Rubin; Christopher M. Sandino; Marianne S. Black; Valentina Mazzoli; Kathryn J. Stevens; Robert Boutin; Christopher Ré; Garry Gold; Brian A. Hargreaves; Akshay Chaudhari (NeurIPS Datasets and Benchmarks, 2021)

Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-task Learning. - Louis Blankemeier; Isabel Gallegos; Juan Manuel Zambrano Chaves; David J. Maron; Alexander T. Sandhu; Fátima Rodriguez; Daniel L. Rubin; Bhavik N. Patel; Marc H. Willis; Robert D. Boutin; Akshay S. Chaudhari (MICCAI (8), 2022)

Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning. - Jeffrey Dominic; Nandita Bhaskhar; Arjun D. Desai; Andrew M. Schmidt; Elka B. Rubin; Beliz Gunel; Garry E. Gold; Brian A. Hargreaves; Leon Lenchik; Robert Boutin; Akshay S. Chaudhari (CoRR, 2022)

Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks. - Dave Van Veen; Rogier van der Sluijs; Batu Ozturkler; Arjun D. Desai; Christian Bluethgen; Robert D. Boutin; Marc H. Willis; Gordon Wetzstein; David B. Lindell; Shreyas Vasanawala; John M. Pauly; Akshay S. Chaudhari (CoRR, 2022)

Artificial Intelligence System for Automatic Quantitative Analysis and Radiology Reporting of Leg Length Radiographs. - Nathan Larson; Chantal Nguyen; Bao H. Do; Aryan Kaul; Anna Larson; Shannon Wang; Erin Wang; Eric Bultman; Kate Stevens; Jason Pai; Audrey Ha; Robert Boutin; et al. (J. Digit. Imaging, 2022)

Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography. - Louis Blankemeier; Arjun D. Desai; Juan Manuel Zambrano Chaves; Andrew Wentland; Sally Yao; Eduardo Pontes Reis; Malte E. K. Jensen; Bhanushree Bahl; Khushboo Arora; Bhavik N. Patel; Leon Lenchik; Marc H. Willis; et al. (CoRR, 2023)

Merlin: A Vision Language Foundation Model for 3D Computed Tomography. - Louis Blankemeier; Joseph Paul Cohen; Ashwin Kumar; Dave Van Veen; Syed Jamal Safdar Gardezi; Magdalini Paschali; Zhihong Chen; Jean-Benoit Delbrouck; Eduardo Pontes Reis; Cesar Truyts; Christian Bluethgen; Malte Engmann Kjeldskov Jensen; et al. (CoRR, 2024)

Detecting Underdiagnosed Medical Conditions with Deep Learning-Based Opportunistic CT Imaging. - Asad Aali; Andrew Johnston; Louis Blankemeier; Dave Van Veen; Laura T. Derry; David Svec; Jason Hom; Robert D. Boutin; Akshay S. Chaudhari (CoRR, 2024)