Kshitij S. Jadhav

According to our database, Kshitij S. Jadhav authored at least 12 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

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

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 Sharad Jadhav

CoRR, 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

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image Analysis.

Charulkumar Chodvadiya, Navyansh Mahla, Kinshuk Gaurav Singh, Kshitij Sharad Jadhav

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the Pattern Recognition - 27th International Conference, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Replace and Report: NLP Assisted Radiology Report Generation.

Kaveri Kale, Pushpak Bhattacharyya, Kshitij S. Jadhav

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023