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The paper introduces the TopCoW Challenge, a benchmark for automatically segmenting the Circle of Willis in CT and MR angiography using deep learning, and provides a new annotated…

Publications (59)

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge

Reflecting Topology Consistency and Abnormality via Learnable Attentions for Airway Labeling

LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation

Topology-Aware Exploration of Circle of Willis for CTA and MRA: Segmentation, Detection, and Classification

Sim2Real within 5 Minutes: Efficient Domain Transfer with Stylized Gaussian Splatting for Endoscopic Images

From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images

Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning

The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography

Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation

SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation

Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation

U-VLM: Hierarchical Vision Language Modeling for Report Generation

TubeMLLM: A Foundation Model for Topology Knowledge Exploration in Vessel-like Anatomy

CDFI: Cross Domain Feature Interaction for Robust Bronchi Lumen Detection

Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes

Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge

Conjugated filter approach for solving Burgers' equation with high Reynolds number

Unleashing the Power of Depth and Pose Estimation Neural Networks by Designing Compatible Endoscopic Images

Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models

Multi-stage Suture Detection for Robot Assisted Anastomosis based on Deep Learning

4D Cardiac Ultrasound Standard Plane Location by Spatial-Temporal Correlation

Shock-capturing with natural high frequency oscillations

Cross-Modality Hashing with Partial Correspondence

Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models

Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation

Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT

Shape-aware Sampling Matters in the Modeling of Multi-Class Tubular Structures

FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers

TopoSculpt: Betti-Steered Topological Sculpting of 3D Fine-grained Tubular Shapes

Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention

AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

Faithful learning with sure data for lung nodule diagnosis

Label-Free Intraoperative Imaging of Hemodynamics using Deep Learning

CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes

Learning with Explicit Shape Priors for Medical Image Segmentation

Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks

Data Driven Robust Image Guided Depth Map Restoration

Learning to Credit the Right Steps: Objective-aware Process Optimization for Visual Generation

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation

ReshapeIT: Reliable Shape Interaction with Implicit Template for Anatomical Structure Reconstruction

TopoVST: Toward Topology-fidelitous Vessel Skeleton Tracking

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation

PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation

STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training

EndoSERV: A Vision-based Endoluminal Robot Navigation System

PnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary Confusion

SutureFormer: Learning Surgical Trajectories via Goal-conditioned Offline RL in Pixel Space

AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis

LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification

Long-Short Term Agents for Pure-Vision Bronchoscopy Robotic Autonomy

RESTORE: Towards Feature Shift for Vision-Language Prompt Learning

Differentiable Topology-Preserved Distance Transform for Pulmonary Airway Segmentation

Towards Voxel Spacing Consistency for Medical Image Segmentation

AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks

FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation