Exploring Deep Learning Based Approaches for Endoscopic Artefact Detection and Segmentation. - Anand Subramanian 004; Koushik Srivatsan (EndoCV@ISBI, 2020)

A translational pathway of deep learning methods in GastroIntestinal Endoscopy. - Sharib Ali; Mariia Dmitrieva; Noha M. Ghatwary; Sophia Bano; Gorkem Polat; Alptekin Temizel; Adrian Krenzer; Amar Hekalo; Yun Bo Guo; Bogdan J. Matuszewski; Mourad Gridach; Irina Voiculescu; et al. (CoRR, 2020)

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. - Sharib Ali; Mariia Dmitrieva; Noha M. Ghatwary; Sophia Bano; Gorkem Polat; Alptekin Temizel; Adrian Krenzer; Amar Hekalo; Yun Bo Guo; Bogdan J. Matuszewski; Mourad Gridach; Irina Voiculescu; et al. (Medical Image Anal., 2021)

PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. - Viktor Schlegel; Hao Li 074; Yuping Wu 001; Anand Subramanian 004; Thanh-Tung Nguyen; Abhinav Ramesh Kashyap; Daniel Beck; Xiao-Jun Zeng; Riza Theresa Batista-Navarro; Stefan Winkler 001; Goran Nenadic (CLEF (Working Notes), 2023)

A robust section identification method for scanned electronic health records. - Anand Subramanian 004; Praveen Kumar Suresh; Sudarsun Santhiappan (COMAD/CODS, 2023)

M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering. - Anand Subramanian 004; Viktor Schlegel; Abhinav Ramesh Kashyap; Thanh-Tung Nguyen; Vijay Prakash Dwivedi; Stefan Winkler 001 (ACL (Findings), 2024)