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ORCIDRaman Dutt
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2020 – today
- 2024
[c3]Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales:
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. ICLR 2024- [c2]Yuyang Xue, Junyu Yan, Raman Dutt, Fasih Haider, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris:
BMFT: Achieving Fairness via Bias-Based Weight Masking Fine-Tuning. FAIMI/EPIMI@MICCAI 2024: 98-108 - [i6]Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales:
MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection. CoRR abs/2405.19458 (2024) - [i5]Yuyang Xue, Junyu Yan, Raman Dutt, Fasih Haider, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris:
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning. CoRR abs/2408.06890 (2024) - [i4]Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales:
Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models. CoRR abs/2410.22149 (2024) - 2023
- [i3]Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales:
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. CoRR abs/2305.08252 (2023) - [i2]Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales:
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. CoRR abs/2310.05055 (2023) - 2022
- [c1]Fabian S. L. Yii, Raman Dutt, Thomas J. MacGillivray
, Baljean Dhillon, Miguel O. Bernabeu, Niall C. Strang:
Rethinking Retinal Image Quality: Treating Quality Threshold as a Tunable Hyperparameter. OMIA@MICCAI 2022: 73-83 - [i1]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:
The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms. CoRR abs/2202.04073 (2022)
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