Search Results for author: Robert D. Boutin

Found 3 papers, 1 papers with code

Merlin: A Vision Language Foundation Model for 3D Computed Tomography

no code implementations • 10 Jun 2024 • Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo 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 Junior, Neera Ahuja, Jason Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari

However, current medical VLMs are generally limited to 2D images and short reports, and do not leverage electronic health record (EHR) data for supervision.

3D Semantic Segmentation Computed Tomography (CT) +4

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Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography

1 code implementation • 13 Feb 2023 • Louis Blankemeier, Arjun Desai, Juan Manuel Zambrano Chaves, Andrew Wentland, Sally Yao, Eduardo Reis, Malte Jensen, Bhanushree Bahl, Khushboo Arora, Bhavik N. Patel, Leon Lenchik, Marc Willis, Robert D. Boutin, Akshay S. Chaudhari

Extracting quantitative body composition measures manually from CT scans is a cumbersome and time-consuming task.

Computed Tomography (CT)

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Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks

no code implementations • 17 Oct 2022 • Dave Van Veen, Rogier van der Sluijs, Batu Ozturkler, Arjun Desai, Christian Bluethgen, Robert D. Boutin, Marc H. Willis, Gordon Wetzstein, David Lindell, Shreyas Vasanawala, John Pauly, Akshay S. Chaudhari

We propose using a coordinate network decoder for the task of super-resolution in MRI.

Decoder Denoising +1

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