Raman Dutt

17 papers A* 1A 1Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs.
CoRR
Raman Dutt, Pedro Sanchez, Yongchen Yao, Steven McDonagh, Sotirios A. Tsaftaris, Timothy M. Hospedales
2025 J jnl
Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities.
CoRR
Raman Dutt, Harleen Hanspal, Guoxuan Xia, Petru-Daniel Tudosiu, Alexander Black, Yongxin Yang, Steven McDonagh, Sarah Parisot
2025 J jnl
How to make Medical AI Systems safer? Simulating Vulnerabilities, and Threats in Multimodal Medical RAG System.
CoRR
Kaiwen Zuo, Zelin Liu, Raman Dutt, Ziyang Wang, Zhongtian Sun, Yeming Wang, Fan Mo, Pietro Liò
2025 J jnl
MedVision: Dataset and Benchmark for Quantitative Medical Image Analysis.
CoRR
Yongchen Yao, Yongshuo Zong, Raman Dutt, Yongxin Yang, Sotirios A. Tsaftaris, Timothy M. Hospedales
2025 A conf
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection.
WACV
Raman Dutt, Ondrej Bohdal, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales
2025 J jnl
The Devil is in the Prompts: De-Identification Traces Enhance Memorization Risks in Synthetic Chest X-Ray Generation.
CoRR
Raman Dutt
2025 — conf
The Devil is in the Prompts: De-identification Traces Enhance Memorization Risks in Synthetic Chest X-Ray Generation.
DGM4MICCAI@MICCAI
Raman Dutt
2024 — conf
BMFT: Achieving Fairness via Bias-Based Weight Masking Fine-Tuning.
FAIMI/EPIMI@MICCAI
Yuyang Xue, Junyu Yan, Raman Dutt, Fasih Haider, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris
2024 J jnl
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning.
CoRR
Yuyang Xue, Junyu Yan, Raman Dutt, Fasih Haider, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris
2024 J jnl
Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models.
CoRR
Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
2024 A* conf
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis.
ICLR
Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
2024 J jnl
MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection.
CoRR
Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
2024 — conf
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity.
MIDL
Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales
2023 J jnl
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis.
CoRR
Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
2023 J jnl
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity.
CoRR
Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales
2022 — conf
Rethinking Retinal Image Quality: Treating Quality Threshold as a Tunable Hyperparameter.
OMIA@MICCAI
Fabian S. L. Yii, Raman Dutt, Thomas J. MacGillivray, Baljean Dhillon, Miguel O. Bernabeu, Niall C. Strang
2022 J jnl
The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms.
CoRR
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