Ting Ma
8 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird π₯ Mega-Team Β· Legion
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
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The Questioner
Top co-authors
Research topics
Keywords
in-context learning
(3)
medical image segmentation
(2)
medical imaging
(2)
knowledge distillation
(1)
multimodal learning
(1)
deep learning
(1)
out-of-distribution generalization
(1)
image denoising
(1)
brain network analysis
(1)
autoregressive model
(1)
data imputation
(1)
image transformation
(1)
segment anything model
(1)
gated mechanism
(1)
computed tomography
(1)
multi-task training
(1)
disease classification
(1)
deep supervision
(1)
image enhancement
(1)
3d medical imaging
(1)
Papers
Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement
AAAI 2026
Neuroverse3D: Developing In-Context Learning Universal Model for Neuroimaging in 3D
ICCV 2025
Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning
MICCAI 2024
Centerline Boundary Dice Loss for Vascular Segmentation
MICCAI 2024
ICL-SAM: Synergizing In-context Learning Model and SAM in Medical Image Segmentation
MIDL 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NeurIPS 2024
Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision
MIDL 2023
Regularizing Brain Age Prediction via Gated Knowledge Distillation
MIDL 2022