yusuke1997/dblp-id-title huggingface dataset:
Segmentation of Multiple Knee Bones from CT for Orthopedic Knee Surgery Planning
Pulmonary Vessel Segmentation Based on Orthogonal Fused U-Net++ of Chest CT Images
Learned Proximal Networks for Quantitative Susceptibility Mapping
Predictive Camera Tracking for Bronchoscope Simulation with CONDensation
Towards a Robust Path Growing Algorithm for Semi-automatic MRI Segmentation
Non-reference Quality Assessment for Medical Imaging: Application to Synthetic Brain MRIs
A Versatile System for Computer Integrated Mini-invasive Robotic Surgery
Estimating Dynamic Lung Images from High-Dimension Chest Surface Motion Using 4D Statistical Model
Privacy Preserving Image Registration
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information
3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment
Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS
Patch-Based Mapping of Transentorhinal Cortex with a Distributed Atlas
Biomechanically Constrained Groupwise US to CT Registration of the Lumbar Spine
Explainable Image Classification with Improved Trustworthiness for Tissue Characterisation
Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging
Deep Multi-structural Shape Analysis: Application to Neuroanatomy
Alleviating the Incompatibility Between Cross Entropy Loss and Episode Training for Few-Shot Skin Disease Classification
A Method for Segmenting Bronchial Trees from 3D Chest X-ray CT Images
3D Alpha Matting Based Co-segmentation of Tumors on PET-CT Images
FAIM - A ConvNet Method for Unsupervised 3D Medical Image Registration
Unsupervised Domain Adaptation for Abdominal Organ Segmentation Using Pseudo Labels and Organ Attention CycleGAN
Spatially Adaptive Spectral Denoising for MR Spectroscopic Imaging using Frequency-Phase Non-local Means
Letting Osteocytes Teach SR-MicroCT Bone Lacunae Segmentation: A Feature Variation Distillation Method via Diffusion Denoising
Application of Open Source Image Guided Therapy Software in MR-guided Therapies
Model of a Vascular C-Arm for 3D Augmented Fluoroscopy in Interventional Radiology
A 3D Unsupervised Domain Adaptation Framework Combining Style Translation and Self-training for Abdominal Organs Segmentation
Improved Colon Navigation for Efficient Polyp Detection in Virtual Colonoscopy
3D Cardiac Segmentation Using Temporal Correlation of Radio Frequency Ultrasound Data
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting
Gradient Profile Based Super Resolution of MR Images with Induced Sparsity
Model-Free, Regularized, Fast, and Robust Analytical Orientation Distribution Function Estimation
Dilated Convolutions for Brain Tumor Segmentation in MRI Scans
Registration of Untracked 2D Laparoscopic Ultrasound Liver Images to CT Using Content-Based Retrieval and Kinematic Priors
Non-rigid Registration with Use of Hardware-Based 3D Bézier Functions
Automated 3D Segmentation of Renal Structures for Renal Cancer Treatment
Object Localization Based on Markov Random Fields and Symmetry Interest Points
DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion
Self-supervised Few-Shot Learning for Semantic Segmentation: An Annotation-Free Approach
Efficient Selection of the Most Similar Image in a Database for Critical Structures Segmentation
A Hybrid 3DCNN and 3DC-LSTM Based Model for 4D Spatio-Temporal fMRI Data: An ABIDE Autism Classification Study
A Supervising System for Robot Application in Surgery
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings
3D Randomized Connection Network with Graph-Based Inference
The Automated Learning of Deep Features for Breast Mass Classification from Mammograms
Automated Optic Disc Finder and Segmentation Using Deep Learning for Blood Flow Studies in the Eye
Using MeSH to Expand Queries in Medical Image Retrieval
Detection-Free Pipeline for Cervical Cancer Screening of Whole Slide Images
Automated Cardiovascular Segmentation in Patients with Congenital Heart Disease from 3D CMR Scans: Combining Multi-atlases and Level-Sets
From Local to Global: A Holistic Lung Graph Model
Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data
Optic Disc Detection via Deep Learning in Fundus Images
Hybrid Network Based on Cross-Modal Feature Fusion for Diagnosis of Alzheimer's Disease
Interpretable-by-Design Deep Survival Analysis for Disease Progression Modeling
Automatic Markov Random Field Segmentation of Susceptibility-Weighted MR Venography
Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait
Fusion-Based Automated Segmentation in Head and Neck Cancer via Advance Deep Learning Techniques
FOD Restoration for Enhanced Mapping of White Matter Lesion Connectivity
Deep Unsupervised Clustering for Conditional Identification of Subgroups Within a Digital Pathology Image Set
Learning Nonrigid Deformations for Constrained Multi-modal Image Registration
Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma Based on Longitudinal Ultrasound Images
2.5D Thermometry Maps for MRI-Guided Tumor Ablation
PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa
MSGFlowNet: Learning Effective Connectivity Network Based on Sparse Generative Flow Network from fMRI and EEG Data
CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis
Cardiolock: An Active Cardiac Stabilizer
Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images
3D Reconstruction of the Human Jaw: A New Approach and Improvements
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network
A Unified Approach to Shape Model Fitting and Non-rigid Registration
3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge
ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models
Move Over There: One-Click Deformation Correction for Image Fusion During Endovascular Aortic Repair
Combining Good Old Random Forest and DeepLabv3+ for ISLES 2018 CT-Based Stroke Segmentation
Role of Task Complexity and Training in Crowdsourced Image Annotation
Shape Particle Filtering for Image Segmentation
Regenerative Random Forest with Automatic Feature Selection to Detect Mitosis in Histopathological Breast Cancer Images
Examining the Effects of Slice Thickness on the Reproducibility of CT Radiomics for Patients with Colorectal Liver Metastases
Accelerated MRI Reconstruction with Dual-Domain Generative Adversarial Network
Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration
Exploring the Effect of Dataset Diversity in Self-supervised Learning for Surgical Computer Vision
Toward Unsupervised Classification of Calcified Arterial Lesions
Orchestrating Medical Image Compression and Remote Segmentation Networks
Ensembles of Densely-Connected CNNs with Label-Uncertainty for Brain Tumor Segmentation
Memory Replay for Continual Medical Image Segmentation Through Atypical Sample Selection
Prediction of Hearing Loss Based on Auditory Perception: A Preliminary Study
Bounding Box Tightness Prior for Weakly Supervised Image Segmentation
Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering
Few Shot Medical Image Segmentation with Cross Attention Transformer
Liver Segmental Anatomy and Analysis from Vessel and Tumor Segmentation via Optimized Graph Cuts
Does a Rising Tide Lift All Boats? Bias Mitigation for AI-Based CMR Segmentation
Unified Brain MR-Ultrasound Synthesis Using Multi-modal Hierarchical Representations
Quantitative Characterization of Trabecular Bone Micro-architecture Using Tensor Scale and Multi-Detector CT Imaging
Atlas Encoding by Randomized Forests for Efficient Label Propagation
Automatic Left Atrium Segmentation by Cutting the Blood Pool at Narrowings
Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology
A Machine Learning Approach to Tongue Motion Analysis in 2D Ultrasound Image Sequences
DCCL: A Benchmark for Cervical Cytology Analysis
Disentangling Factors of Morphological Variation in an Invertible Brain Aging Model
Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-supervised Learning
Parameter Comparison Between Fast-Water-Exchange-Limit-Constrained Standard and Water-Exchange-Modified Dual-Input Tracer Kinetic Models for DCE-MRI in Advanced Hepatocellular Carcinoma
Edge-Variational Graph Convolutional Networks for Uncertainty-Aware Disease Prediction
Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints
Temporal Consistency Objectives Regularize the Learning of Disentangled Representations
Controllable Surface Diffusion Generative Model for Neurodevelopmental Trajectories
Unsupervised Domain Adaptation for Anatomical Landmark Detection
DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs
Multi-stage Association Analysis of Glioblastoma Gene Expressions with Texture and Spatial Patterns
Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification
A Mixed-Reality Approach to Radiation-Free Training of C-arm Based Surgery
Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI
Monogenic Phase Based Optical Flow Computation for Myocardial Motion Analysis in 3D Echocardiography
Rethinking Semi-Supervised Federated Learning: How to Co-train Fully-Labeled and Fully-Unlabeled Client Imaging Data
Bone Tumor Segmentation on Bone Scans Using Context Information and Random Forests
Automatic Facial Axes Standardization of 3D Fetal Ultrasound Images
A Stratified Cascaded Approach for Brain Tumor Segmentation with the Aid of Multi-modal Synthetic Data
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis
Apparent Intravoxel Fibre Population Dispersion (FPD) Using Spherical Harmonics
A Finite Element Model for Functional Analysis of 4D Cardiac-Tagged MR Images
WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation
Demarcation of Aneurysms Using the Seed and Cull Algorithm
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation
Metrics for Laparoscopic Skills Trainers: The Weakest Link!
Integration of Handcrafted and Embedded Features from Functional Connectivity Network with rs-fMRI forBrain Disease Classification
The MRI Scanner as a Diagnostic: Image-Less Active Sampling
Cross-Device Cross-Anatomy Adaptation Network for Ultrasound Video Analysis
Optimization of Brain Conformal Mapping with Landmarks
Context Aware 3D CNNs for Brain Tumor Segmentation
Micro-grasping Forceps Manipulator for MR-Guided Neurosurgery
Detection of Vertebral Body Fractures Based on Cortical Shell Unwrapping
Hyperbolic Kernel GCN with Structure-Function Connectivity Coupling for Neurocognitive Impairment Analysis
3D Case-Based Retrieval for Interstitial Lung Diseases
Contractile Analysis with Kriging Based on MR Myocardial Velocity Imaging
Precise Estimation of Postoperative Cup Alignment from Single Standard X-Ray Radiograph with Gonadal Shielding
Efficient Computation of PDF-Based Characteristics from Diffusion MR Signal
Double-Tier Attention Based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer
Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network Predictions
Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect
Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation
Robust Segmentation via Topology Violation Detection and Feature Synthesis
Vessel Detection in Ultrasound Images Using Deep Convolutional Neural Networks
Prostate Cancer Histology Synthesis Using StyleGAN Latent Space Annotation
Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-Teacher Multi-target Domain Adaptation
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks
MP-IDB: The Malaria Parasite Image Database for Image Processing and Analysis
Task-Agnostic Out-of-Distribution Detection Using Kernel Density Estimation
Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records
Ultrasound Elastography Using Three Images
Automatic Detection and Segmentation of Robot-Assisted Surgical Motions
Supervised Domain Adaptation Using Gradients Transfer for Improved Medical Image Analysis
Comparison of Simultaneous and Sequential Two-View Registration for 3D/2D Registration of Vascular Images
Multimodal Context-Aware Detection of Glioma Biomarkers Using MRI and WSI
Scan-Conversion Algorithm for Ridge Point Detection on Tubular Objects
Test Time Transform Prediction for Open Set Histopathological Image Recognition
Thyroid Nodule Diagnosis in Dynamic Contrast-Enhanced Ultrasound via Microvessel Infiltration Awareness
Dose Monitoring in Prostate Cancer Radiotherapy Using CBCT to CT Constrained Elastic Image Registration
Joint Clinical Data and CT Image Based Prognosis: A Case Study on Postoperative Pulmonary Venous Obstruction Prediction
Interpretable Vertebral Fracture Diagnosis
Pulmonary Micronodule Detection from 3D Chest CT
Medical Matting: A New Perspective on Medical Segmentation with Uncertainty
Modeling of Radiofrequency Ablation Lesions for Image-Guided Arrhythmia Therapy: A Preliminary ex vivo Demonstration
$\mathrm {IterMask^2}$: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI
An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment
Matching 3D Shapes Using 2D Conformal Representations
Mining Histopathological Images via Composite Hashing and Online Learning
COVID-19 Pneumonia Classification with Transformer from Incomplete Modalities
Imputing Brain Measurements Across Data Sets via Graph Neural Networks
Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy
EndoMetric: Near-Light Monocular Metric Scale Estimation in Endoscopy
Translation of 1D Inverse Fourier Transform of K-space to an Image Based on Deep Learning for Accelerating Magnetic Resonance Imaging
NQNN: Noise-Aware Quantum Neural Networks for Medical Image Classification
Analysis of the Anatomical Variability of Fetal Brains with Corpus Callosum Agenesis
Spinal Curve Guide Network (SCG-Net) for Accurate Automated Spinal Curvature Estimation
Automatic Estimation of Error in Voxel-Based Registration
tHPM-LDM: Integrating Individual Historical Record with Population Memory in Latent Diffusion-Based Glaucoma Forecasting
Automatic Optimization of Depth Electrode Trajectory Planning
ARS-Net: Adaptively Rectified Supervision Network for Automated 3D Ultrasound Image Segmentation
HRENet: A Hard Region Enhancement Network for Polyp Segmentation
A Biomechanical Model of Muscle Contraction
CenterlinePointNet++: A New Point Cloud Based Architecture for Coronary Artery Pressure Drop and vFFR Estimation
Topological Correction of Brain Surface Meshes Using Spherical Harmonics
Fully-Automatic Segmentation of Cardiac Images Using 3-D MRF Model Optimization and Substructures Tracking
Augmented Reality Visualization for Laparoscopic Surgery
Thoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
Augmenting Intraoperative 3D Ultrasound with Preoperative Models for Navigation in Liver Surgery
MDA-SR: Multi-level Domain Adaptation Super-Resolution for Wireless Capsule Endoscopy Images
Virtual Heart Models Help Elucidate the Role of Border Zone in Sustained Monomorphic Ventricular Tachycardia
Triple Expert Adaptation Networks with Adaptive Prompt Selection for Multi-modal Medical Image Fusion
Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features
Toward Robotized Beating Heart TECABG: Assessment of the Heart Dynamics Using High-Speed Vision
Deep Distance Map Regression Network with Shape-Aware Loss for Imbalanced Medical Image Segmentation
Gyral Parcellation of the Cortical Surface Using Geodesic Voronoï Diagrams
Fast Renal Cortex Localization by Combining Generalized Hough Transform and Active Appearance Models
A New Method for CT to Fluoroscope Registration Based on Unscented Kalman Filter
Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video
Early Development of Infant Brain Complex Network
Finite Element Model of Cornea Deformation
OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels
Robust Surface-Based Multi-template Automated Algorithm to Segment Healthy and Pathological Hippocampi
Semi-automated Extraction of Crohns Disease MR Imaging Markers Using a 3D Residual CNN with Distance Prior
Learning-Based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling
High-Precision Semi-supervised 3D Dental Segmentation Based on nnUNet
The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning
sfGLSFormer: Gated - Long, Short Sequence Transformer for Step Recognition in Surgical Videos
Connection Forms for Beating the Heart - LV Mechanics Challenge (Methods)
Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology - 5th MICCAI Workshop, GRAIL 2023 and 1st MICCAI Challenge, OCELOT 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, September 23, and October 4, 2023, Proceedings
Self-Supervised Learning to More Efficiently Generate Segmentation Masks for Wrist Ultrasound
Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets
Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks
Descriptive and Intuitive Population-Based Cardiac Motion Analysis via Sparsity Constrained Tensor Decomposition
Thermographic Toothache Screening by Artificial Intelligence
Enhancing Lesion Segmentation in the BONBID-HIE Challenge: An Ensemble Strategy
AugPaste: One-Shot Anomaly Detection for Medical Images
Automatic Alignment of Brain MR Scout Scans Using Data-adaptive Multi-structural Model
Multi-compound Transformer for Accurate Biomedical Image Segmentation
$\mathrm {H^{2}}$GM: A Hierarchical Hypergraph Matching Framework for Brain Landmark Alignment
Needs Assessment for Computer-Integrated Surgery Systems
MRI-Based Head and Neck Tumor Segmentation Using nnU-Net with 15-Fold Cross-Validation Ensemble
Prompt-Based Segmentation Model of Anatomical Structures and Lesions in CT Images
Estimation of 3D Geometry of Microtubules Using Multi-angle Total Internal Reflection Fluorescence Microscopy
Exploring Brain Hemodynamic Response Patterns via Deep Recurrent Autoencoder
Mammographic Image Generation Using Generative Cellular Automata
Detection of Vertebral Fractures in CT Using 3D Convolutional Neural Networks
Texture Bags: Anomaly Retrieval in Medical Images Based on Local 3D-Texture Similarity
Incorporating Non-rigid Registration into Expectation Maximization Algorithm to Segment MR Images
Noise-Controllable Complex-Valued Diffusion Model for k-Space Data of Hyperpolarized 129 Xe Lung MRI Generation
Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution
Efficient Soft-Constrained Clustering for Group-Based Labeling
Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion
2D/3D Deformable Registration Using a Hybrid Atlas
Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases
Brain Parcellation Aids in Electrode Localization in Epileptic Patients
A Family of Fast Spherical Registration Algorithms for Cortical Shapes
Visual-Textual Matching Attention for Lesion Segmentation in Chest Images
Training-Free Test-Time Improvement for Explainable Medical Image Classification
Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-task Learning on Imaging and Tabular Data
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices
MedPAO: A Protocol-Driven Agent for Structuring Medical Reports
A New Lightweight Architecture and a Class Imbalance Aware Loss Function for Multi-label Classification of Intracranial Hemorrhages
Contextual Deep Regression Network for Volume Estimation in Orbital CT
Visual Search Behaviour and Analysis of Augmented Visualisation for Minimally Invasive Surgery
LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection
Multi-dimensional Gated Recurrent Units for the Segmentation of Biomedical 3D-Data
Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation
Efficient Multi-organ Segmentation in Multi-view Endoscopic Videos Using Pre-operative Priors
Physics Based Contrast Marking and Inpainting Based Local Texture Comparison for Clustered Microcalcification Detection
Reciprocal Learning for Semi-supervised Segmentation
Cost-Sensitive Meta-learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI
D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms
An Invariant Shape Representation Using the Anisotropic Helmholtz Equation
A Surface Patch-Based Segmentation Method for Hippocampal Subfields
Interaction-Based Registration Correction for Improved Augmented Reality Overlay in Neurosurgery
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets
Deformable 2D-3D Registration of the Pelvis with a Limited Field of View, Using Shape Statistics
A Quantitative Comparison of Edges in 3D Intraoperative Ultrasound and Preoperative MR Images of the Brain
Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology
Online 3D Reconstruction and Dense Tracking in Endoscopic Videos
Patch-Based Segmentation without Registration: Application to Knee MRI
RBF-Based Representation of Volumetric Data: Application in Visualization and Segmentation
Registration of the Spine Using a Physically-Based Image Model for Ultrasound
Redesigning Out-of-Distribution Detection on 3D Medical Images
A Multi-modal Approach to Segmentation of Tubular Structures
Pectoral Muscle Detection in Digital Breast Tomosynthesis and Mammography
Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM Using Reinforcement Learning
FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis
DeepMIF: Deep Learning Based Cell Profiling for Multispectral Immunofluorescence Images with Graphical User Interface
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part III
Model-Free and Analytical EAP Reconstruction via Spherical Polar Fourier Diffusion MRI
Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT
A Methodology for Clinically Driven Interactive Segmentation Evaluation
Mixup Augmentation for Kidney and Kidney Tumor Segmentation
Feasibility Check: Can Audio Be a Simple Alternative to Force-Based Feedback for Needle Guidance?
Large Kernel MedNeXt for Breast Tumor Segmentation and Self-normalizing Network for pCR Classification in Magnetic Resonance Images
Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval
CCUT-Net: Pixel-Wise Global Context Channel Attention UT-Net for Head and Neck Tumor Segmentation
GSDG: Exploring a Global Semantic-Guided Dual-Stream Graph Model for Automated Volume Differential Diagnosis and Prognosis
Two Bone Fragment Manipulation in Computer-Assisted Preoperative Planning: Restoration of the Radial Bow
HyperSpace: Hypernetworks for Spacing-Adaptive Image Segmentation