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Ashirbani Saha

As seen in: Nature, PLOS, Mary Ann Liebert, Inc.
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Articles

[2511.15968] Externally Validated Multi-Task Learning via Consistency Regularization Using Differentiable BI-RADS Features for Breast Ultrasound Tumor Segmentation

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By Saed Moradi, Ashirbani Saha
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (538) Issue with article?

Development and evaluation of large-language models (LLMs) for oncology: A scoping review

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By Namya Mehan, Integrated Engineering, Teshan Dias Desinghe, Ashirbani Saha
| PLOS
Citation: Mehan N, Desinghe TD, Saha A (2025) Development and evaluation of large-language models (LLMs) for oncology: A scoping review. PLOS Digit Health 4(8): e0000980. https://doi.org/10.1371/journal.pdig.0000980 Editor: Luis Filipe Nakayama, Massachusetts Institute of Technology, UNITED STATES OF AMERICA Received: November 1, 2024; Accepted: July 23, 2025; Published: August 7, 2025 Copyright: © 2025 Mehan et al.
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Cognitive Dysfunction, Brain Volumes, and Traumatic Brain Injury in Homeless Persons

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By Michael D. Cusimano, Ashirbani Saha, Daniel Zhang, Stanley Zhang
| Mary Ann Liebert, Inc.
Introduction Traumatic brain injury (TBI) is one of the most common neurological conditions.
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