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ORCIDKshitij S. Jadhav
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- affiliation: University of Cambridge, Department of Psychology, UK
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2020 – today
- 2026
[c19]Md. Tousin Akhter, Devansh Lalwani, Kshitij Sharad Jadhav, Pushpak Bhattacharyya:
Rad-Flamingo: A Multimodal Prompt driven Radiology Report Generation Framework with Patient-Centric Explanations. EACL (Findings) 2026: 166-188- [c18]Md. Touisn Akhter, Harsh Chaurasia, Sachindra Joshi, Kshitij S. Jadhav:
Clinically Grounded Radiology Report Generation via Explanation-Guided Policy Optimization. ISBI 2026: 1-5 - [c17]Pratyush Prasad
, Swapnil Bhat, Sadaf Siddiqui, Siddharth Bhatt, Mrinal Mallya, Ankush K. Somvanshi, Deval Mehta, Kshitij S. Jadhav:
Fine-Tuning of Diffusion Models Using Perceptual-DPO for Generation of Biologically Accurate Medical Image. ISBI 2026: 1-5 - 2025
- [j1]Raja Kumar, Raghav Singhal, Pranamya Prashant Kulkarni, Deval Mehta, Kshitij Sharad Jadhav:
M3CoL: Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification. Trans. Mach. Learn. Res. 2025 (2025) - [c16]Tanurima Halder, Kunal Deo, Nicolás Nieto, Kaustubh R. Patil, Kshitij S. Jadhav:
When to Harmonize? Evaluating Stage-Specific Harmonization in Federated Brain Age Estimation. ICKG 2025: 138-145 - [c15]Swarnika Joshi, Kshitij S. Jadhav:
Contrastive Retrieval Augmented in-Context Learning for Medical Classification Tasks with Imbalanced Data. ICDM (Workshops) 2025: 3154-3158 - [c14]Deval Mehta, Yiwen Jiang, Catherine L. Jan, Mingguang He, Kshitij S. Jadhav, Zongyuan Ge:
Interpretable Few-Shot Retinal Disease Diagnosis with Concept-Guided Prompting of Vision-Language Models. IPMI (2) 2025: 263-277 - [c13]Sarang Galada, Tanurima Halder, Kunal Deo, Ram P. Krish, Kshitij S. Jadhav:
Prism: Privacy-Preserving Inter-Site MRI Harmonization via Disentangled Representation Learning. ISBI 2025: 1-4 - [c12]Bhavik Kanekar, Atharv Savarkar, Ganesh Ramakrishnan, Kshitij S. Jadhav:
Integrations: Informed Subset Selection Based Generation for Medical Imaging in Resource Constrained Setting. ISBI 2025: 1-4 - [c11]Navyansh Mahla, Annie D'souza, Shubh Gupta, Bhavik Kanekar, Kshitij S. Jadhav:
MedSAGa: Few-Shot Memory Efficient Medical Image Segmentation Using Gradient Low-Rank Projection in SAM. ISBI 2025: 1-5 - [i14]Deval Mehta, Yiwen Jiang, Catherine L. Jan, Mingguang He, Kshitij S. Jadhav, Zongyuan Ge:
Interpretable Few-Shot Retinal Disease Diagnosis with Concept-Guided Prompting of Vision-Language Models. CoRR abs/2503.02917 (2025) - 2024
- [c10]Pankhi Kashyap, Pavni Tandon, Sunny Gupta, Abhishek Tiwari, Ritwik Kulkarni, Kshitij Sharad Jadhav:
Taming the Tail: Leveraging Asymmetric Loss and Padé Approximation to Overcome Long-Tailed Class Imbalance. BMVC 2024 - [c9]Anurag Shandilya, Kalash Shah, Bhavik Kanekar, Akshat Gautam, Pavni Tandon, Ganesh Ramakrishnan, Kshitij S. Jadhav:
M2IoU: A Min-Max Distance-based Loss Function for Bounding Box Regression in Medical Imaging. CIKM 2024: 4041-4045 - [c8]Saeel Sandeep Nachane, Ojas Gramopadhye, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, Sachindra Joshi:
Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering. EMNLP (Findings) 2024: 542-573 - [c7]Bhavik Kanekar, Jay Sawant, Niti Chikhale, Paras Dhotre, Sushil Savant, Gajanan Nagare, Kshitij S. Jadhav:
Classification of Cutaneous Diseases: A Systematic Study on Real-Time Captured Images Using Deep Learning. ICPR (13) 2024: 147-162 - [c6]Kunal Deo, Deval Mehta, Kshitij S. Jadhav:
One Shot GANs for Long Tail Problem in Skin Lesion Dataset Using Novel Content Space Assessment Metric. ICPR (Workshops and Challenges, 5) 2024: 159-175 - [c5]Roomani Srivastava, R. Murali, Meena Jain, Kshitij S. Jadhav:
Interpretable Machine Learning Model for Data Driven Classification of Oral Health Related Quality of Life in Patients with Type 2 Diabetes Mellitus. ICPR (Workshops and Challenges, 5) 2024: 176-192 - [c4]Charulkumar Chodvadiya, Navyansh Mahla, Kinshuk Gaurav Singh, Kshitij Sharad Jadhav:
FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image Analysis. ISBI 2024: 1-5 - [c3]Akshat Gautam, Anurag Shandilya, Akshit Srivastava, Venkatapathy Subramanian, Ganesh Ramakrishnan, Kshitij S. Jadhav:
Insite: Labelling Medical Images Using Submodular Functions and Semi-Supervised Data Programming. ISBI 2024: 1-5 - [i13]Akshat Gautam, Anurag Shandilya, Akshit Srivastava, Venkatapathy Subramanian, Ganesh Ramakrishnan, Kshitij S. Jadhav:
INSITE: labelling medical images using submodular functions and semi-supervised data programming. CoRR abs/2402.07173 (2024) - [i12]Charulkumar Chodvadiya, Navyansh Mahla, Kinshuk Gaurav Singh, Kshitij Sharad Jadhav:
FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image Analysis. CoRR abs/2402.08582 (2024) - [i11]Ojas Gramopadhye, Saeel Sandeep Nachane, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, Sachindra Joshi:
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answering. CoRR abs/2403.04890 (2024) - [i10]Roomani Srivastava, Suraj Prasad, Lipika Bhat, Sarvesh Deshpande, Barnali Das, Kshitij S. Jadhav:
MedPromptExtract (Medical Data Extraction Tool): Anonymization and Hi-fidelity Automated data extraction using NLP and prompt engineering. CoRR abs/2405.02664 (2024) - [i9]Navyansh Mahla, Annie D'souza, Shubh Gupta, Bhavik Kanekar, Kshitij Sharad Jadhav:
MedSAGa: Few-shot Memory Efficient Medical Image Segmentation using Gradient Low-Rank Projection in SAM. CoRR abs/2407.15042 (2024) - [i8]Raja Kumar, Raghav Singhal, Pranamya Prashant Kulkarni, Deval Mehta, Kshitij S. Jadhav:
Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification. CoRR abs/2409.17777 (2024) - [i7]Kunal Deo, Deval Mehta, Kshitij S. Jadhav:
One Shot GANs for Long Tail Problem in Skin Lesion Dataset using novel content space assessment metric. CoRR abs/2409.19945 (2024) - [i6]Pankhi Kashyap, Pavni Tandon, Sunny Gupta, Abhishek Tiwari, Ritwik Kulkarni, Kshitij Sharad Jadhav:
Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance. CoRR abs/2410.04084 (2024) - [i5]Tavish Mankash, V. S. Chaithanya Kota, Anish De, Praveen Prakash, Kshitij S. Jadhav:
MIRAGE: Multimodal Identification and Recognition of Annotations in Indian General Prescriptions. CoRR abs/2410.09729 (2024) - [i4]Sarang Galada, Tanurima Halder, Kunal Deo, Ram P. Krish, Kshitij S. Jadhav:
PRISM: Privacy-preserving Inter-Site MRI Harmonization via Disentangled Representation Learning. CoRR abs/2411.06513 (2024) - [i3]Suraj Racha, Shubh Gupta, Humaira Firdowse, Aastik Solanki, Ganesh Ramakrishnan, Kshitij S. Jadhav:
Framework for Co-distillation Driven Federated Learning to Address Class Imbalance in Healthcare. CoRR abs/2411.10383 (2024) - [i2]Anurag Shandilya, Swapnil Bhat, Akshat Gautam, Subhash Yadav, Siddharth Bhatt, Deval Mehta, Kshitij S. Jadhav:
IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation - An Enhanced Prototype-Guided Diffusion Framework. CoRR abs/2411.17535 (2024) - 2023
- [c2]Kaveri Kale, Pushpak Bhattacharyya, Kshitij S. Jadhav:
Replace and Report: NLP Assisted Radiology Report Generation. ACL (Findings) 2023: 10731-10742 - [c1]Advait Padhye, Shreeja Bhakat, Humaira Firdowse, Atharv Savarkar, Ganesh Ramakrishnan, Kshitij S. Jadhav:
Camaraderie: Content-based Knowledge Transfer for Medical Image Labelling using Supervised Autoencoders in a Decentralized Setting. CIKM 2023: 4229-4233 - [i1]Kaveri Kale, Pushpak Bhattacharyya, Kshitij S. Jadhav:
Replace and Report: NLP Assisted Radiology Report Generation. CoRR abs/2306.17180 (2023)
Coauthor Index
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