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Kshitij S. Jadhav
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- affiliation: University of Cambridge, Department of Psychology, UK
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2020 – today
- 2024
- [c7]Anurag Shandilya, Kalash Shah
, Bhavik Kanekar
M2IoU: A Min-Max Distance-based Loss Function for Bounding Box Regression in Medical Imaging. CIKM 2024: 4041-4045 - [c6]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 - [c5]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 - [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 - [i9]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) - [i8]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) - [i7]Ojas Gramopadhye, Saeel Sandeep Nachane, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answering. CoRR abs/2403.04890 (2024) - [i6]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) - [i5]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) - [i4]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) - [i3]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) - [i2]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) - 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
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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