Gautam Rajendrakumar Gare

According to our database, Gautam Rajendrakumar Gare authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

LEARNER: Learning Granular Labels from Coarse Labels using Contrastive Learning.

Gautam Rajendrakumar Gare, Jana Armouti, Nikhil Madaan, Rohan Panda, Tom Fox, Laura Hutchins, Amita Krishnan, Ricardo Luis Rodriguez, Bennett P. deBoisblanc, Deva Ramanan, John M. Galeotti

CoRR, 2024

Improving Model's Interpretability and Reliability using Biomarkers.

Gautam Rajendrakumar Gare, Tom Fox, Beam Chansangavej, Amita Krishnan, Ricardo Luis Rodriguez, Bennett P. deBoisblanc, Deva Kannan Ramanan, John Michael Galeotti

CoRR, 2024

LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies.

Jia Shi, Gautam Rajendrakumar Gare, Jinjin Tian, Siqi Chai, Zhiqiu Lin, Arun Balajee Vasudevan, Di Feng, Francesco Ferroni, Shu Kong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

W-Net: Dense and diagnostic semantic segmentation of subcutaneous and breast tissue in ultrasound images by incorporating ultrasound RF waveform data.

Gautam Rajendrakumar Gare, Jiayuan Li, Rohan Joshi, Rishikesh Magar, Mrunal Prashant Vaze, Michael Yousefpour, Ricardo Luis Rodriguez, John Michael Galeotti

Medical Image Anal., 2022

Learning Generic Lung Ultrasound Biomarkers for Decoupling Feature Extraction from Downstream Tasks.

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

CoRR, 2022

Weakly Supervised Contrastive Learning for Better Severity Scoring of Lung Ultrasound.

Gautam Rajendrakumar Gare, Hai V. Tran, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti

CoRR, 2022

2021

Exploiting Class Similarity for Machine Learning with Confidence Labels and Projective Loss Functions.

Gautam Rajendrakumar Gare, John Michael Galeotti

CoRR, 2021

Dense Pixel-Labeling For Reverse-Transfer And Diagnostic Learning On Lung Ultrasound For Covid-19 And Pneumonia Detection.

Gautam Rajendrakumar Gare, Andrew Schoenling, Vipin Philip, Hai V. Tran, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

The Role of Pleura and Adipose in Lung Ultrasound AI.

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

Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021

2020

W-Net: Dense Semantic Segmentation of Subcutaneous Tissue in Ultrasound Images by Expanding U-Net to Incorporate Ultrasound RF Waveform Data.

Gautam Rajendrakumar Gare, Jiayuan Li, Rohan Joshi, Mrunal Prashant Vaze, Rishikesh Magar, Michael Yousefpour, Ricardo Luis Rodriguez, John Michael Galeotti

CoRR, 2020