Minfeng Xu
12 papers · 2023–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (24) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π€ Dynamic Duo (11)
π₯
Mega-Team Β· Squad
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Conference Pioneer
Venues
Top co-authors
Research topics
Keywords
medical imaging
(5)
computed tomography
(3)
medical image segmentation
(2)
semantic segmentation
(2)
self-supervised learning
(2)
image segmentation
(1)
object detection
(1)
contrastive learning
(1)
image restoration
(1)
domain adaptation
(1)
catastrophic forgetting
(1)
local attention
(1)
neural architecture search
(1)
knowledge distillation
(1)
3d vision
(1)
semi-supervised learning
(1)
continual learning
(1)
promptable segmentation
(1)
semantic alignment
(1)
3d reconstruction
(1)
Papers
Disentangling for Transfer: Boosting Limited Modalities via Information-Theoretic Regularization and Cross-Modal Reconstruction
AAAI 2026
MUSE: Multi-Scale Dense Self-Distillation for Nucleus Detection and Classification
AAAI 2026
Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning
MICCAI 2025
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers
ICLR 2025
nnWNet: Rethinking the Use of Transformers in Biomedical Image Segmentation and Calling for a Unified Evaluation Benchmark
CVPR 2025
Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration
MICCAI 2025
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans
AAAI 2025
Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans
MICCAI 2024
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
CVPR 2024
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis
ICCV 2023
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
ICCV 2023
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans
ICCV 2023