Raman Dutt

According to our database, Raman Dutt authored at least 13 papers between 2022 and 2025.

Collaborative distances:

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

2025

MedVision: Dataset and Benchmark for Quantitative Medical Image Analysis.

Yongchen Yao, Yongshuo Zong, Raman Dutt, Yongxin Yang, Sotirios A. Tsaftaris, Timothy M. Hospedales

CoRR, November, 2025

How to make Medical AI Systems safer? Simulating Vulnerabilities, and Threats in Multimodal Medical RAG System.

Kaiwen Zuo, Zelin Liu, Raman Dutt, Ziyang Wang, Zhongtian Sun, Yeming Wang, Fan Mo, Pietro Liò

CoRR, August, 2025

CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs.

Raman Dutt, Pedro Sanchez, Yongchen Yao, Steven McDonagh, Sotirios A. Tsaftaris, Timothy M. Hospedales

CoRR, May, 2025

Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities.

Raman Dutt, Harleen Hanspal, Guoxuan Xia, Petru-Daniel Tudosiu, Alexander Black, Yongxin Yang, Steven McDonagh, Sarah Parisot

CoRR, March, 2025

MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection.

Raman Dutt, Ondrej Bohdal, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

The Devil is in the Prompts: De-identification Traces Enhance Memorization Risks in Synthetic Chest X-Ray Generation.

Raman Dutt

Proceedings of the Deep Generative Models - 5th MICCAI Workshop, 2025

2024

Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models.

Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales

CoRR, 2024

MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection.

Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales

CoRR, 2024

Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity.

Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

BMFT: Achieving Fairness via Bias-Based Weight Masking Fine-Tuning.

Yuyang Xue, Junyu Yan, Raman Dutt, Fasih Haider, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris

Proceedings of the Ethics and Fairness in Medical Imaging, 2024

FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis.

Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms.

Jiwoong Jason Jeong, Brianna L. Vey, Ananth Reddy Bhimireddy, Thomas Kim, Thiago Santos, Ramon Correa, Raman Dutt, Marina Mosunjac, Gabriela Oprea-Ilies, Geoffrey H. Smith, Minjae Woo, Christopher R. McAdams, Mary S. Newell, Imon Banerjee, Judy Gichoya, Hari Trivedi

CoRR, 2022

Rethinking Retinal Image Quality: Treating Quality Threshold as a Tunable Hyperparameter.

Fabian S. L. Yii, Raman Dutt, Thomas J. MacGillivray, Baljean Dhillon, Miguel O. Bernabeu, Niall C. Strang

Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022