MedICaT: A Dataset of Medical Images, Captions, and Textual References. - Sanjay Subramanian; Lucy Lu Wang; Ben Bogin; Sachin Mehta; Madeleine van Zuylen; Sravanthi Parasa; Sameer Singh 001; Matt Gardner 001; Hannaneh Hajishirzi (EMNLP (Findings), 2020)

Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation. - Steven Hicks; Debesh Jha; Vajira Thambawita; Hugo Hammer; Thomas de Lange; Sravanthi Parasa; Michael Riegler 001; Pål Halvorsen (MediaEval, 2021)

Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. - Tom Hope; Aida Amini; David Wadden; Madeleine van Zuylen; Sravanthi Parasa; Eric Horvitz; Daniel S. Weld; Roy Schwartz 001; Hannaneh Hajishirzi (NAACL-HLT, 2021)

SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation. - Vajira Thambawita; Pegah Salehi; Sajad Amouei Sheshkal; Steven Alexander Hicks; Hugo Lewi Hammer; Sravanthi Parasa; Thomas de Lange; Pål Halvorsen; Michael A. Riegler (CoRR, 2021)

A Search Engine for Discovery of Biomedical Challenges and Directions. - Dan Lahav; Jon Saad-Falcon; Bailey Kuehl; Sophie Johnson; Sravanthi Parasa; Noam Shomron; Duen Horng Chau; Diyi Yang; Eric Horvitz; Daniel S. Weld; Tom Hope (CoRR, 2021)

A Search Engine for Discovery of Scientific Challenges and Directions. - Dan Lahav; Jon Saad-Falcon; Bailey Kuehl; Sophie Johnson; Sravanthi Parasa; Noam Shomron; Duen Horng Chau; Diyi Yang; Eric Horvitz; Daniel S. Weld; Tom Hope (AAAI, 2022)

PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps. - Jan Andre Fagereng; Vajira Thambawita; Andrea M. Storås; Sravanthi Parasa; Thomas de Lange; Pål Halvorsen; Michael A. Riegler (CBMS, 2022)

Literature-Augmented Clinical Outcome Prediction. - Aakanksha Naik; Sravanthi Parasa; Sergey Feldman; Lucy Lu Wang; Tom Hope (NAACL-HLT (Findings), 2022)

Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations. - Steven Hicks; Andrea M. Storås; Michael Riegler 001; Cise Midoglu; Malek Hammou; Thomas de Lange; Sravanthi Parasa; Pål Halvorsen; Inga Strümke (CoRR, 2022)

Mask-conditioned latent diffusion for generating gastrointestinal polyp images. - Roman Machácek; Leila Mozaffari; Zahra Sepasdar; Sravanthi Parasa; Pål Halvorsen; Michael A. Riegler; Vajira Thambawita (ICDAR@ICMR, 2023)

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. - Debesh Jha; Vanshali Sharma; Debapriya Banik; Debayan Bhattacharya; Kaushiki Roy; Steven Alexander Hicks; Nikhil Kumar Tomar; Vajira Thambawita; Adrian Krenzer; Ge-Peng Ji; Sahadev Poudel; George Batchkala; et al. (CoRR, 2023)

Quantifying disease-interactions through co-occurrence matrices to predict early onset colorectal cancer. - Pankush Kalgotra; Ramesh Sharda; Sravanthi Parasa (Decis. Support Syst., 2023)

Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. - Debesh Jha; Vanshali Sharma; Debapriya Banik; Debayan Bhattacharya; Kaushiki Roy; Steven Alexander Hicks; Nikhil Kumar Tomar; Vajira Thambawita; Adrian Krenzer; Ge-Peng Ji; Sahadev Poudel; George Batchkala; et al. (Medical Image Anal., 2025)

Predicting Early-Onset Colorectal Cancer with Large Language Models. - Wilson Lau; Youngwon Kim; Sravanthi Parasa; Md. Enamul Haque; Anand Oka; Jay Nanduri (CoRR, 2025)