Kshitij S. Jadhav

Orcid: 0000-0001-9795-8335

Affiliations:
  • University of Cambridge, Department of Psychology, UK


According to our database1, Kshitij S. Jadhav authored at least 22 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
M3CoL: Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification.
Trans. Mach. Learn. Res., 2025

MedSAGa: Few-Shot Memory Efficient Medical Image Segmentation Using Gradient Low-Rank Projection in SAM.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Integrations: Informed Subset Selection Based Generation for Medical Imaging in Resource Constrained Setting.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Prism: Privacy-Preserving Inter-Site MRI Harmonization via Disentangled Representation Learning.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Interpretable Few-Shot Retinal Disease Diagnosis with Concept-Guided Prompting of Vision-Language Models.
Proceedings of the Information Processing in Medical Imaging, 2025

2024
IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation - An Enhanced Prototype-Guided Diffusion Framework.
CoRR, 2024

Framework for Co-distillation Driven Federated Learning to Address Class Imbalance in Healthcare.
CoRR, 2024

MIRAGE: Multimodal Identification and Recognition of Annotations in Indian General Prescriptions.
CoRR, 2024

Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance.
CoRR, 2024

One Shot GANs for Long Tail Problem in Skin Lesion Dataset using novel content space assessment metric.
CoRR, 2024

Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification.
CoRR, 2024

MedPromptExtract (Medical Data Extraction Tool): Anonymization and Hi-fidelity Automated data extraction using NLP and prompt engineering.
CoRR, 2024

Insite: Labelling Medical Images Using Submodular Functions and Semi-Supervised Data Programming.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image Analysis.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Interpretable Machine Learning Model for Data Driven Classification of Oral Health Related Quality of Life in Patients with Type 2 Diabetes Mellitus.
Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024

Classification of Cutaneous Diseases: A Systematic Study on Real-Time Captured Images Using Deep Learning.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

One Shot GANs for Long Tail Problem in Skin Lesion Dataset Using Novel Content Space Assessment Metric.
Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024

Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering.
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.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Taming the Tail: Leveraging Asymmetric Loss and Padé Approximation to Overcome Long-Tailed Class Imbalance.
Proceedings of the 35th British Machine Vision Conference, 2024

2023
Camaraderie: Content-based Knowledge Transfer for Medical Image Labelling using Supervised Autoencoders in a Decentralized Setting.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Replace and Report: NLP Assisted Radiology Report Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023


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