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Robert D. Boutin
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2020 – today
- 2024
- [i6]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, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Júnior, Neera Ahuja, Jason Alan Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari:
Merlin: A Vision Language Foundation Model for 3D Computed Tomography. CoRR abs/2406.06512 (2024) - [i5]Asad Aali, Andrew Johnston, Louis Blankemeier, Dave Van Veen, Laura T. Derry, David Svec, Jason Hom, Robert D. Boutin, Akshay S. Chaudhari:
Detecting Underdiagnosed Medical Conditions with Deep Learning-Based Opportunistic CT Imaging. CoRR abs/2409.11686 (2024) - 2023
- [i4]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, Robert D. Boutin, Akshay S. Chaudhari:
Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography. CoRR abs/2302.06568 (2023) - 2022
- [j2]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, Michael Fredericson
, Long Do, Charles X. Fang
Artificial Intelligence System for Automatic Quantitative Analysis and Radiology Reporting of Leg Length Radiographs. J. Digit. Imaging 35(6): 1494-1505 (2022) - [c4]Louis Blankemeier, Isabel Gallegos, Juan Manuel Zambrano Chaves
Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-task Learning. MICCAI (8) 2022: 309-318 - [i3]Arjun D. Desai, Andrew M. Schmidt, Elka B. Rubin
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation. CoRR abs/2203.06823 (2022) - [i2]Jeffrey Dominic, Nandita Bhaskhar, Arjun D. Desai, Andrew M. Schmidt, Elka B. Rubin
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning. CoRR abs/2210.07936 (2022) - [i1]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
Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks. CoRR abs/2210.08676 (2022) - 2021
- [c3]Namitha V. Benjamin, Robert D. Boutin, Abhijit J. Chaudhari, Kwan-Liu Ma:
Genetic Algorithm based L4 Identification and Psoas Segmentation. BIOIMAGING 2021: 120-127 - [c2]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:
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation. NeurIPS Datasets and Benchmarks 2021 - 2020
- [c1]Ka'Toria Edwards
Abdominal muscle segmentation from CT using a convolutional neural network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170L
2010 – 2019
- 2018
- [j1]Brent Foster, Anand A. Joshi
WRIST: A WRist Image Segmentation Toolkit for carpal bone delineation from MRI. Comput. Medical Imaging Graph. 63: 31-40 (2018)
Coauthor Index
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