Mert R. Sabuncu
21 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (7) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (26)
π
Conference Polyglot
(7)
π
Academic Marathon
(7)
π
Renaissance Researcher
(5)
π
Century Club
(17)
ποΈ
Keyword Collector
(64)
π
Conference Pioneer
π₯
Unstoppable
(6)
Conferences
MIDL (8)
WACV (5)
MICCAI (3)
CVPR (2)
ICCV (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
convolutional neural network
(4)
unsupervised learning
(3)
contrastive learning
(2)
biomedical image segmentation
(2)
medical imaging
(2)
vision transformer
(1)
image segmentation
(1)
representation learning
(1)
binary classification
(1)
image synthesis
(1)
domain adaptation
(1)
ensemble learning
(1)
epistemic uncertainty
(1)
hybrid optimization
(1)
domain generalization
(1)
knowledge distillation
(1)
image generation
(1)
self-supervised learning
(1)
noisy label learning
(1)
multi-task learning
(1)
Papers
HyperCT: Low-Rank Hypernet for Unified Chest CT Analysis
MIDL 2026
Beyond Machine Interpretation: Learning from Expert Over-Reads Improves ECG Diagnosis
MIDL 2026
FutureMorph: Toward Predicting Future Deformation Fields in Longitudinal Imaging
MIDL 2026
Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis
MICCAI 2025
Generating Novel Brain Morphology by Deforming Learned Templates
MICCAI 2025
CASC-AI: Consensus-aware Self-corrective Learning for Cell Segmentation with Noisy Labels
MIDL 2025
LLM-Generated Rewrite and Context Modulation for Enhanced Vision Language Models in Digital Pathology
WACV 2025
POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization
ICML 2025
Longitudinal Mammogram Risk Prediction
MICCAI 2024
Robust Learning via Conditional Prevalence Adjustment
WACV 2024
Decoding natural image stimuli from fMRI data with a surface-based convolutional network
MIDL 2023
UniverSeg: Universal Medical Image Segmentation
ICCV 2023
Semi-Parametric Inducing Point Networks and Neural Processes
ICLR 2023
Learning to Compare Longitudinal Images
MIDL 2023
Hyper-Convolution Networks for Biomedical Image Segmentation
WACV 2022
Ensembling Low Precision Models for Binary Biomedical Image Segmentation
WACV 2021
Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation
WACV 2021
Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping
MIDL 2021
An Auto-Encoder Strategy for Adaptive Image Segmentation
MIDL 2020
An Unsupervised Learning Model for Deformable Medical Image Registration
CVPR 2018
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
CVPR 2018