Tracking of Retinal Microsurgery Tools Using Late Fusion of Responses from Convolutional Neural Network over Pyramidally Decomposed Frames. - Kaustuv Mishra; Rachana Sathish; Debdoot Sheet (ICVGIP Workshops, 2016)

Learning Latent Temporal Connectionism of Deep Residual Visual Abstractions for Identifying Surgical Tools in Laparoscopy Procedures. - Kaustuv Mishra; Rachana Sathish; Debdoot Sheet (CVPR Workshops, 2017)

Phase Identification and Workflow Modeling in Laparoscopy Surgeries Using Temporal Connectionism of Deep Visual Residual Abstractions. - Kaustuv Mishra; Rachana Sathish; Debdoot Sheet (Handbook of Deep Learning Applications, 2019)

Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network. - Rachana Sathish; Debdoot Sheet (CVPR Workshops, 2019)

Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging. - Rachana Sathish; Ronnie Rajan; Anusha Vupputuri; Nirmalya Ghosh; Debdoot Sheet (EMBC, 2019)

Learning with Multitask Adversaries using Weakly Labelled Data for Semantic Segmentation in Retinal Images. - Oindrila Saha; Rachana Sathish; Debdoot Sheet (MIDL, 2019)

Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy. - Oindrila Saha; Rachana Sathish; Debdoot Sheet (CoRR, 2019)

Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos. - Shanka Subhra Mondal; Rachana Sathish; Debdoot Sheet (CoRR, 2019)

Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss. - Rakshith Sathish; Rachana Sathish; Ramanathan Sethuraman; Debdoot Sheet (EMBC, 2020)

Semantic Segmentation, Detection AND Localisation of Mucosal Lesions from Gastrointestinal Endoscopic Images Using SUMNET. - Velmurugan Balasubramanian; Rajiv Kumar; Sarasa Jyothsna Kamireddi; Rachana Sathish; Debdoot Sheet (EndoCV@ISBI, 2020)

Identification of Cervical Pathology using Adversarial Neural Networks. - Abhilash Nandy; Rachana Sathish; Debdoot Sheet (CoRR, 2020)

Covid19action-radiology-CXR. - Debdoot Sheet; Arunava Chakravarty; Tandra Sarkar; Rakshith Sathish; Aditya Raj; Velmurugan Balasubramanian; Ronnie Rajan; Rachana Sathish; Nishant Chakravorty; Manjira Sinha; Manoj Sharma; Vikas Kumar; et al. (IEEE DataPort, 2020)

Pulmonary lobe segmentation of COVID-19 CT scans. - Velmurugan Balasubramanian; Suhasini Balasubramaniam; Debdoot Sheet; Rachana Sathish; Mahalakshumi Visvanathan (IEEE DataPort, 2020)

Assessing Lobe-wise Burden of COVID-19 Infection in Computed Tomography of Lungs using Knowledge Fusion from Multiple Datasets. - Mahalakshumi Visvanathan; Velmurugan Balasubramanian; Rachana Sathish; Suhasini Balasubramaniam; Debdoot Sheet (EMBC, 2021)

CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. - A. Emre Kavur; Naciye Sinem Gezer; Mustafa Baris; Sinem Aslan; Pierre-Henri Conze; Vladimir Groza; Duc Duy Pham; Soumick Chatterjee; Philipp Ernst; Savas Özkan; Bora Baydar; Dmitry A. Lachinov; et al. (Medical Image Anal., 2021)

I'm GROOT: a multi head multi GRaph netwOrk recognizing surgical actiOn Triplets✱. - Sista Raviteja; Rachana Sathish; Riya Agrawal; Utpal De; Partha Pratim Chakrabarti; Debdoot Sheet (ICVGIP, 2022)

Task-Driven Prompt Evolution for Foundation Models. - Rachana Sathish; Rahul Venkataramani; K. S. Shriram; Prasad Sudhakar (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. - Chinedu Innocent Nwoye; Deepak Alapatt; Tong Yu 009; Armine Vardazaryan; Fangfang Xia; Zixuan Zhao; Tong Xia; Fucang Jia; Yuxuan Yang; Hao Wang 081; Derong Yu; Guoyan Zheng; et al. (Medical Image Anal., 2023)

CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection. - Chinedu Innocent Nwoye; Tong Yu 009; Saurav Sharma; Aditya Murali; Deepak Alapatt; Armine Vardazaryan; Kun Yuan 004; Jonas Hajek; Wolfgang Reiter; Amine Yamlahi; Finn-Henri Smidt; Xiaoyang Zou; et al. (Medical Image Anal., 2023)

Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation. - Krishan Agyakari Raja Babu; Rachana Sathish; Mrunal Pattanaik; Rahul Venkataramani (DEMI@MICCAI, 2024)

Synthetic Data for Assessing Robustness of Deep Learning Models to Distributional Shifts. - Rahul V; Rachana Sathish; Mrunal Pattanaik; Krishan Agyakari Raja Babu (ISBI, 2025)

A wrapper method for finding optimal subset of multimodal Magnetic Resonance Imaging sequences for ischemic stroke lesion segmentation. - Rachana Sathish; Debdoot Sheet (Comput. Biol. Medicine, 2025)