Raghav Mehta
7 papers · 2021–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(11)
🐣
Hot Topic Early Bird
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Prolific Year · Productive
Venues
Top co-authors
Research topics
Keywords
uncertainty quantification
(2)
adversarial learning
(1)
algorithmic fairness
(1)
domain adaptation
(1)
knowledge distillation
(1)
medical image segmentation
(1)
deep learning
(1)
medical image analysis
(1)
magnetic resonance imaging
(1)
probabilistic segmentation
(1)
distributionally robust optimization
(1)
generative model
(1)
autoregressive model
(1)
group fairness
(1)
flow-based model
(1)
neural network
(1)
image segmentation
(1)
continuous-time flow
(1)
Papers
Automatic dataset shift identification to support safe deployment of medical imaging AI
MICCAI 2025
CF-Seg: Counterfactuals meet Segmentation
MICCAI 2025
Flow Stochastic Segmentation Networks
ICCV 2025
Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis
MICCAI 2025
UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs
MICCAI 2025
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis
MIDL 2023
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
MIDL 2021