Gautam Rajendrakumar Gare

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Ultrasound Images

Semantic Segmentation

Weakly Supervised

Top Venues

Medical Image Anal.

CLIP/DCL/LL-COVID19/PPML@MICCAI

Publications

Gautam Rajendrakumar Gare, Tom Fox, Beam Chansangavej, Amita Krishnan, Ricardo Luis Rodriguez, Bennett P. deBoisblanc, Deva Kannan Ramanan, John Michael Galeotti
Improving Model's Interpretability and Reliability using Biomarkers. CoRR (2024)
Jia Shi, Gautam Rajendrakumar Gare, Jinjin Tian, Siqi Chai, Zhiqiu Lin, Arun Balajee Vasudevan, Di Feng, Francesco Ferroni, Shu Kong
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies. CoRR (2024)
Gautam Rajendrakumar Gare, Wanwen Chen, Alex Ling Yu Hung, Edward Chen, Hai V. Tran, Tom Fox, Peter Lowery, Kevin Zamora, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti
The Role of Pleura and Adipose in Lung Ultrasound AI. CoRR (2022)
Gautam Rajendrakumar Gare, Andrew Schoenling, Vipin Philip, Hai V. Tran, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti
Dense Pixel-Labeling for Reverse-Transfer and Diagnostic Learning on Lung Ultrasound for COVID-19 and Pneumonia Detection. CoRR (2022)
Gautam Rajendrakumar Gare, Jiayuan Li, Rohan Joshi, Rishikesh Magar, Mrunal Prashant Vaze, Michael Yousefpour, Ricardo Luis Rodriguez, John Michael Galeotti
W-Net: Dense and diagnostic semantic segmentation of subcutaneous and breast tissue in ultrasound images by incorporating ultrasound RF waveform data. Medical Image Anal. 76 (2022)
Gautam Rajendrakumar Gare, Tom Fox, Peter Lowery, Kevin Zamora, Hai V. Tran, Laura Hutchins, David Montgomery, Amita Krishnan, Deva Kannan Ramanan, Ricardo Luis Rodriguez, Bennett P. deBoisblanc, John Michael Galeotti
Learning Generic Lung Ultrasound Biomarkers for Decoupling Feature Extraction from Downstream Tasks. CoRR (2022)
Gautam Rajendrakumar Gare, Hai V. Tran, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti
Weakly Supervised Contrastive Learning for Better Severity Scoring of Lung Ultrasound. CoRR (2022)
Gautam Rajendrakumar Gare, Wanwen Chen, Alex Ling Yu Hung, Edward Chen, Hai V. Tran, Tom Fox, Peter Lowery, Kevin Zamora, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti
The Role of Pleura and Adipose in Lung Ultrasound AI. CLIP/DCL/LL-COVID19/PPML@MICCAI (2021)
Gautam Rajendrakumar Gare, Andrew Schoenling, Vipin Philip, Hai V. Tran, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti
Dense Pixel-Labeling For Reverse-Transfer And Diagnostic Learning On Lung Ultrasound For Covid-19 And Pneumonia Detection. ISBI (2021)
Gautam Rajendrakumar Gare, John Michael Galeotti
Exploiting Class Similarity for Machine Learning with Confidence Labels and Projective Loss Functions. CoRR (2021)
Gautam Rajendrakumar Gare, Jiayuan Li, Rohan Joshi, Mrunal Prashant Vaze, Rishikesh Magar, Michael Yousefpour, Ricardo Luis Rodriguez, John Michael Galeotti
W-Net: Dense Semantic Segmentation of Subcutaneous Tissue in Ultrasound Images by Expanding U-Net to Incorporate Ultrasound RF Waveform Data. CoRR (2020)