Sravanthi Parasa

According to our database, Sravanthi Parasa authored at least 12 papers between 2020 and 2023.

Collaborative distances:

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

2023

Quantifying disease-interactions through co-occurrence matrices to predict early onset colorectal cancer.

Pankush Kalgotra, Ramesh Sharda, Sravanthi Parasa

Decis. Support Syst., May, 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, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange

CoRR, 2023

Mask-conditioned latent diffusion for generating gastrointestinal polyp images.

Roman Machácek, Leila Mozaffari, Zahra Sepasdar, Sravanthi Parasa, Pål Halvorsen, Michael A. Riegler, Vajira Thambawita

Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, 2023

2022

Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations.

Steven Hicks, Andrea M. Storås, Michael Riegler, Cise Midoglu, Malek Hammou, Thomas de Lange, Sravanthi Parasa, Pål Halvorsen, Inga Strümke

CoRR, 2022

Literature-Augmented Clinical Outcome Prediction.

Aakanksha Naik, Sravanthi Parasa, Sergey Feldman, Lucy Lu Wang, Tom Hope

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 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

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

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

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, Hannaneh Hajishirzi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

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, Pål Halvorsen

Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

2020

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, Matt Gardner, Hannaneh Hajishirzi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020