Anirban Mukhopadhyay
16 papers · 2021–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (20) π§ Keyword Pioneer π Conference Polyglot (3)
π
Renaissance Researcher
(6)
π
Conference Pioneer
π
Century Club
(16)
β‘
Prolific Year
(7)
Conferences
MIDL (6)
MICCAI (5)
WACV (5)
Top co-authors
Keywords
continual learning
(3)
uncertainty quantification
(2)
uncertainty estimation
(2)
semantic segmentation
(2)
medical imaging
(2)
medical image segmentation
(2)
federated learning
(2)
image segmentation
(2)
variational inference
(1)
self-supervised learning
(1)
domain generalization
(1)
prototype learning
(1)
data augmentation
(1)
distributed learning
(1)
bayesian model
(1)
epistemic uncertainty
(1)
generative augmentation
(1)
scene graph
(1)
scene graph generation
(1)
domain adaptation
(1)
Papers
Federated-Continual Dynamic Segmentation of Histopathology Guided by Barlow Continuity
WACV 2025
Equitable Federated Learning with NCA
MICCAI 2025
SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis
MICCAI 2025
Federated Voxel Scene Graph for Intracranial Hemorrhage
WACV 2025
NCAdapt: Dynamic Adaptation with Domain-Specific Neural Cellular Automata for Continual Hippocampus Segmentation
WACV 2025
GAUDA: Generative Adaptive Uncertainty-Guided Diffusion-Based Augmentation for Surgical Segmentation
WACV 2025
Continual Atlas-Based Segmentation of Prostate MRI
WACV 2024
HARP: Unsupervised Histopathology Artifact Restoration
MIDL 2024
Unsupervised Training of Neural Cellular Automata on Edge Devices
MICCAI 2024
Voxel Scene Graph for Intracranial Hemorrhage
MICCAI 2024
Cryotrack: Planning and Navigation for Computer Assisted Cryoablation
MICCAI 2024
ASMR: Angular Support for Malfunctioning Client Resilience in Federated Learning
MIDL 2024
UnCLe SAM: Unleashing SAMβs Potential for Continual Prostate MRI Segmentation
MIDL 2024
i3Deep: Efficient 3D interactive segmentation with the nnU-Net
MIDL 2022
Practical uncertainty quantification for brain tumor segmentation
MIDL 2022
Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation
MIDL 2021