Replace and Report: NLP Assisted Radiology Report Generation. - Kaveri Kale; Pushpak Bhattacharyya; Kshitij S. Jadhav (ACL (Findings), 2023)

Camaraderie: Content-based Knowledge Transfer for Medical Image Labelling using Supervised Autoencoders in a Decentralized Setting. - Advait Padhye; Shreeja Bhakat; Humaira Firdowse; Atharv Savarkar; Ganesh Ramakrishnan; Kshitij S. Jadhav (CIKM, 2023)

Taming the Tail: Leveraging Asymmetric Loss and Padé Approximation to Overcome Long-Tailed Class Imbalance. - Pankhi Kashyap; Pavni Tandon; Sunny Gupta; Abhishek Tiwari; Ritwik Kulkarni; Kshitij Sharad Jadhav (BMVC, 2024)

M2IoU: A Min-Max Distance-based Loss Function for Bounding Box Regression in Medical Imaging. - Anurag Shandilya; Kalash Shah; Bhavik Kanekar; Akshat Gautam; Pavni Tandon; Ganesh Ramakrishnan; Kshitij S. Jadhav (CIKM, 2024)

Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering. - Saeel Sandeep Nachane; Ojas Gramopadhye; Prateek Chanda; Ganesh Ramakrishnan; Kshitij Sharad Jadhav; Yatin Nandwani; Dinesh Raghu; Sachindra Joshi (EMNLP (Findings), 2024)

One Shot GANs for Long Tail Problem in Skin Lesion Dataset Using Novel Content Space Assessment Metric. - Kunal Deo; Deval Samirbhai Mehta; Kshitij S. Jadhav (ICPR (Workshops and Challenges, 5), 2024)

Classification of Cutaneous Diseases: A Systematic Study on Real-Time Captured Images Using Deep Learning. - Bhavik Kanekar; Jay Sawant; Niti Chikhale; Paras Dhotre; Sushil Savant; Gajanan Nagare; Kshitij S. Jadhav (ICPR (13), 2024)

Interpretable Machine Learning Model for Data Driven Classification of Oral Health Related Quality of Life in Patients with Type 2 Diabetes Mellitus. - Roomani Srivastava; R. Murali; Meena Jain; Kshitij S. Jadhav (ICPR (Workshops and Challenges, 5), 2024)

FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image Analysis. - Charulkumar Chodvadiya; Navyansh Mahla; Kinshuk Gaurav Singh; Kshitij Sharad Jadhav (ISBI, 2024)

Insite: Labelling Medical Images Using Submodular Functions and Semi-Supervised Data Programming. - Akshat Gautam; Anurag Shandilya; Akshit Srivastava; Venkatapathy Subramanian; Ganesh Ramakrishnan; Kshitij S. Jadhav (ISBI, 2024)

MedPromptExtract (Medical Data Extraction Tool): Anonymization and Hi-fidelity Automated data extraction using NLP and prompt engineering. - Roomani Srivastava; Suraj Prasad; Lipika Bhat; Sarvesh Deshpande; Barnali Das; Kshitij S. Jadhav (CoRR, 2024)

Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification. - Raja Kumar; Raghav Singhal; Pranamya Prashant Kulkarni; Deval Mehta; Kshitij S. Jadhav (CoRR, 2024)

One Shot GANs for Long Tail Problem in Skin Lesion Dataset using novel content space assessment metric. - Kunal Deo; Deval Mehta; Kshitij S. Jadhav (CoRR, 2024)

Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance. - Pankhi Kashyap; Pavni Tandon; Sunny Gupta; Abhishek Tiwari; Ritwik Kulkarni; Kshitij Sharad Jadhav (CoRR, 2024)

MIRAGE: Multimodal Identification and Recognition of Annotations in Indian General Prescriptions. - Tavish Mankash; V. S. Chaithanya Kota; Anish De; Praveen Prakash; Kshitij S. Jadhav (CoRR, 2024)

Framework for Co-distillation Driven Federated Learning to Address Class Imbalance in Healthcare. - Suraj Racha; Shubh Gupta; Humaira Firdowse; Aastik Solanki; Ganesh Ramakrishnan; Kshitij S. Jadhav (CoRR, 2024)

IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation - An Enhanced Prototype-Guided Diffusion Framework. - Anurag Shandilya; Swapnil Bhat; Akshat Gautam; Subhash Yadav; Siddharth Bhatt; Deval Mehta; Kshitij S. Jadhav (CoRR, 2024)

Interpretable Few-Shot Retinal Disease Diagnosis with Concept-Guided Prompting of Vision-Language Models. - Deval Mehta; Yiwen Jiang; Catherine L. Jan; Mingguang He; Kshitij S. Jadhav; Zongyuan Ge (IPMI (2), 2025)

Prism: Privacy-Preserving Inter-Site MRI Harmonization via Disentangled Representation Learning. - Sarang Galada; Tanurima Halder; Kunal Deo; Ram P. Krish; Kshitij S. Jadhav (ISBI, 2025)

Integrations: Informed Subset Selection Based Generation for Medical Imaging in Resource Constrained Setting. - Bhavik Kanekar; Atharv Savarkar; Ganesh Ramakrishnan; Kshitij S. Jadhav (ISBI, 2025)

MedSAGa: Few-Shot Memory Efficient Medical Image Segmentation Using Gradient Low-Rank Projection in SAM. - Navyansh Mahla; Annie D'souza; Shubh Gupta; Bhavik Kanekar; Kshitij S. Jadhav (ISBI, 2025)

M3CoL: Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification. - Raja Kumar; Raghav Singhal; Pranamya Prashant Kulkarni; Deval Mehta; Kshitij Sharad Jadhav (Trans. Mach. Learn. Res., 2025)