Document Image Retrieval using Signatures as Queries. - Sargur N. Srihari; Shravya Shetty; Siyuan Chen; Harish Srinivasan; Chen Huang 002; Gady Agam; Ophir Frieder (DIAL, 2006)

Segmentation and labeling of documents using conditional random fields. - Shravya Shetty; Harish Srinivasan; Matthew J. Beal; Sargur N. Srihari (DRR, 2007)

Handwritten Word Recognition Using Conditional Random Fields. - Shravya Shetty; Harish Srinivasan; Sargur N. Srihari (ICDAR, 2007)

Automatic scoring of short handwritten essays in reading comprehension tests. - Sargur N. Srihari; Jim Collins; Rohini K. Srihari; Harish Srinivasan; Shravya Shetty; Janina Brutt-Griffler (Artif. Intell., 2008)

Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases. - Zaid Nabulsi; Andrew Sellergren; Shahar Jamshy; Charles Lau; Eddie Santos; Atilla P. Kiraly; Wenxing Ye; Jie Yang; Sahar Kazemzadeh; Jin Yu; Raju Kalidindi; Mozziyar Etemadi; et al. (CoRR, 2020)

Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries. - Sahar Kazemzadeh; Jin Yu; Shahar Jamshy; Rory Pilgrim; Zaid Nabulsi; Christina Chen; Neeral Beladia; Charles Lau; Scott Mayer McKinney; Thad Hughes; Atilla P. Kiraly; Sreenivasa Raju Kalidindi; et al. (CoRR, 2021)

AI system for fetal ultrasound in low-resource settings. - Ryan G. Gomes; Bellington Vwalika; Chace Lee; Angelica Willis; Marcin Sieniek; Joan T. Price; Christina Chen; Margaret P. Kasaro; James A. Taylor 003; Elizabeth M. Stringer; Scott Mayer McKinney; Ntazana Sindano; et al. (CoRR, 2022)

Enabling faster and more reliable sonographic assessment of gestational age through machine learning. - Chace Lee; Angelica Willis; Christina Chen; Marcin Sieniek; Akib Uddin; Jonny Wong; Rory Pilgrim; Katherine Chou; Daniel Tse; Shravya Shetty; Ryan G. Gomes (CoRR, 2022)

Metrics reloaded: Pitfalls and recommendations for image analysis validation. - Lena Maier-Hein; Annika Reinke; Evangelia Christodoulou; Ben Glocker; Patrick Godau; Fabian Isensee; Jens Kleesiek; Michal Kozubek 001; Mauricio Reyes 001; Michael A. Riegler; Manuel Wiesenfarth; Michael Baumgartner 001; et al. (CoRR, 2022)

Multimodal LLMs for Health Grounded in Individual-Specific Data. - Anastasiya Belyaeva; Justin Cosentino; Farhad Hormozdiari; Krish Eswaran; Shravya Shetty; Greg Corrado; Andrew Carroll; Cory Y. McLean; Nicholas A. Furlotte (ML4MHD, 2023)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning. - Wei-Hung Weng; Sebastien Baur; Mayank Daswani; Christina Chen; Lauren Harrell; Sujay Kakarmath; Mariam Jabara; Babak Behsaz; Cory Y. McLean; Yossi Matias; Gregory S. Corrado; Shravya Shetty; et al. (CoRR, 2023)

ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders. - Shawn Xu; Lin Yang; Christopher Kelly; Marcin Sieniek; Timo Kohlberger; Martin Ma; Wei-Hung Weng; Attila Kiraly; Sahar Kazemzadeh; Zakkai Melamed; Jungyeon Park; Patricia Strachan; et al. (CoRR, 2023)

Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. - Ryutaro Tanno; David G. T. Barrett; Andrew Sellergren; Sumedh Ghaisas; Sumanth Dathathri; Abigail See; Johannes Welbl; Karan Singhal; Shekoofeh Azizi; Tao Tu 001; Mike Schaekermann; Rhys May; et al. (CoRR, 2023)

PathAlign: A vision-language model for whole slide images in histopathology. - Faruk Ahmed; Andrew Sellergren; Lin Yang; Shawn Xu; Boris Babenko; Abbi Ward; Niels Olson; Arash Mohtashamian; Yossi Matias; Gregory S. Corrado; Quang Duong 004; Dale R. Webster; et al. (COMPAY@MICCAI, 2024)

NLP-Driven Video Transcription: A Comprehensive Survey and Innovative Office Meeting Automation. - Akshatha P. S; B. Akash; V. Harshith; C. Sumukh; V. Gowardhan Reddy; Shravya Shetty (ICCCNT, 2024)

Virtual Trial System using Haar Cascades Classifier Algorithm. - Shravya Shetty; Thanu Kurian; Nithesh Pai; M. Prajna; B. Jaishma Kumari; N. S. Krishnaraj Rao (ICCCNT, 2024)

Mitigating the Proliferation of Counterfeits using Blockchain Technology. - Shravya Shetty; K. ParthaSai; D. Hemanth; Thanu Kurian; Sonia Maria Dsouza (ICCCNT, 2024)

HeAR - Health Acoustic Representations. - Sebastien Baur; Zaid Nabulsi; Wei-Hung Weng; Jake Garrison; Louis Blankemeier; Sam Fishman; Christina Chen; Sujay Kakarmath; Minyoi Maimbolwa; Nsala Sanjase; Brian Shuma; Yossi Matias; et al. (CoRR, 2024)

Advancing Multimodal Medical Capabilities of Gemini. - Lin Yang; Shawn Xu; Andrew Sellergren; Timo Kohlberger; Yuchen Zhou; Ira Ktena; Atilla P. Kiraly; Faruk Ahmed; Farhad Hormozdiari; Tiam Jaroensri; Eric Wang; Ellery Wulczyn; et al. (CoRR, 2024)

Towards a Personal Health Large Language Model. - Justin Cosentino; Anastasiya Belyaeva; Xin Liu 034; Nicholas A. Furlotte; Zhun Yang; Chace Lee; Erik Schenck; Yojan Patel; Jian Cui; Logan Douglas Schneider; Robby Bryant; Ryan G. Gomes; et al. (CoRR, 2024)

Plots Unlock Time-Series Understanding in Multimodal Models. - Mayank Daswani; Mathias M. J. Bellaiche; Marc Wilson; Desislav Ivanov; Mikhail Papkov; Eva Schnider; Jing Tang; Kay Lamerigts; Gabriela Botea; Michael A. Sanchez; Yojan Patel; Shruthi Prabhakara; et al. (CoRR, 2024)

Community search signatures as foundation features for human-centered geospatial modeling. - Mimi Sun; Chaitanya Kamath; Mohit Agarwal; Arbaaz Muslim; Hector Yee; David Schottlander; Shailesh Bavadekar; Niv Efron; Shravya Shetty; Gautam Prasad (CoRR, 2024)

General Geospatial Inference with a Population Dynamics Foundation Model. - Mohit Agarwal; Mimi Sun; Chaitanya Kamath; Arbaaz Muslim; Prithul Sarker; Joydeep Paul; Hector Yee; Marcin Sieniek; Kim Philipp Jablonski; Yael Mayer; David Fork; Sheila de Guia; et al. (CoRR, 2024)

Health AI Developer Foundations. - Atilla P. Kiraly; Sebastien Baur; Kenneth Philbrick; Fereshteh Mahvar; Liron Yatziv; Tiffany Chen; Bram Sterling; Nick George; Fayaz Jamil; Jing Tang; Kai Bailey; Faruk Ahmed; et al. (CoRR, 2024)

PolyPath: Adapting a Large Multimodal Model for Multi-slide Pathology Report Generation. - Faruk Ahmed; Lin Yang; Tiam Jaroensri; Andrew Sellergren; Yossi Matias; Avinatan Hassidim; Gregory S. Corrado; Dale R. Webster; Shravya Shetty; Shruthi Prabhakara; Yun Liu 013; Daniel Golden; et al. (CoRR, 2025)

CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding. - Yixiong Chen; Shawn Xu; Andrew Sellergren; Yossi Matias; Avinatan Hassidim; Shravya Shetty; Daniel Golden; Alan L. Yuille; Lin Yang (CoRR, 2025)

MedGemma Technical Report. - Andrew Sellergren; Sahar Kazemzadeh; Tiam Jaroensri; Atilla P. Kiraly; Madeleine Traverse; Timo Kohlberger; Shawn Xu; Fayaz Jamil; Cían Hughes; Charles Lau; Justin Chen; Fereshteh Mahvar; et al. (CoRR, 2025)

UWB Radar-based Heart Rate Monitoring: A Transfer Learning Approach. - Elzbieta Gruzewska; Pooja Rao; Sebastien Baur; Matthew Baugh; Mathias M. J. Bellaiche; Sharanya Srinivas; Octavio Ponce; Matthew Thompson; Pramod Rudrapatna; Michael A. Sanchez; Lawrence Z. Cai; Timothy JA Chico; et al. (CoRR, 2025)