yusuke1997/dblp-id-title huggingface dataset:
A Statistical Parts-Based Appearance Model of Inter-subject Variability
Evaluation of q -Space Sampling Strategies for the Diffusion Magnetic Resonance Imaging
HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-Modal Context Interaction
Masked Multi-Task Network for Case-Level Intracranial Hemorrhage Classification in Brain CT Volumes
Overview of the 2014 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2014)
Quantification of Measurement Error in DTI: Theoretical Predictions and Validation
Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic Videos
Gray-Value Based Registration of CT and MR Images by Maximization of Local Correlation
Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing
Low-Rank to the Rescue - Atlas-Based Analyses in the Presence of Pathologies
Towards Sparsified Federated Neuroimaging Models via Weight Pruning
Fusion of MRI to 3D TRUS for Mechanically-Assisted Targeted Prostate Biopsy: System Design and Initial Clinical Experience
2D X-Ray Mammogram and 3D Breast MRI Registration
Classification of SPECT Images of Normal Subjects versus Images of Alzheimer's Disease Patients
Transfer Learning for Electrocardiogram Classification Under Small Dataset
A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image
Radiopositive Tissue Displacement Compensation for SPECT-guided Surgery
Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations
Metric-Guided Conformal Bounds for Probabilistic Image Reconstruction
Ensemble of 3D CNN Regressors with Data Fusion for Fluid Intelligence Prediction
CS3: Cascade SAM for Sperm Segmentation
Tail-Enhanced Representation Learning for Surgical Triplet Recognition
Unsupervised Learning for Spherical Surface Registration
3D Radio Frequency Ultrasound Cardiac Segmentation Using a Linear Predictor
Active Watersheds: Combining 3D Watershed Segmentation and Active Contours to Extract Abdominal Organs from MR Images
Active Learning for an Efficient Training Strategy of Computer-Aided Diagnosis Systems: Application to Diabetic Retinopathy Screening
Renal Cortex Segmentation Using Optimal Surface Search with Novel Graph Construction
False Positive Reduction in Mammographic Mass Detection Using Local Binary Patterns
Guide Wire Tracking During Endovascular Interventions
Real-Time Simulation of Minimally-Invasive Surgery with Cutting Based on Boundary Element Methods
MR-to-US Registration Using Multiclass Segmentation of Hepatic Vasculature with a Reduced 3D U-Net
Imperfect Segmentation Labels: How Much Do They Matter?
An All-in-One Approach for Accelerated Cardiac MRI Reconstruction
Self-supervised Learning for Anomaly Detection in Fundus Image
Heatmap Regression for Automated Angle of Progression Measurement: The Baseline Method for the IUGC2025
Cardiac Cycle Estimation for BOLD-fMRI
Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model
Fast Elastic Registration for Adaptive Radiotherapy
Glioma Prognosis: Segmentation of the Tumor and Survival Prediction Using Shape, Geometric and Clinical Information
Context-Aware Cutmix is All You Need for Universal Organ and Cancer Segmentation
Two Stage of Histogram Matching Augmentation for Domain Generalization: Application to Left Atrial Segmentation
Groupwise Registration by Hierarchical Anatomical Correspondence Detection
Endpoint Detection in Breast Images for Automatic Classification of Breast Cancer Aesthetic Results
Dual-Layer ℓ 1 -Graph Embedding for Semi-supervised Image Labeling
Intraoperative Navigation of an Optically Tracked Surgical Robot
Treasure in Distribution: A Domain Randomization Based Multi-source Domain Generalization for 2D Medical Image Segmentation
Non-salient Object Segmentation in Medical Images via Pre-trained Multi-granularity Masked Autoencoders
OCT Scans Simulation Framework for Data Augmentation and Controlled Evaluation of Signal Processing Approaches
Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN
The Application Accuracy of the Frameless Implantable Marker System and Analysis of Related Affecting Factors
A Style Transfer-Based Augmentation Framework for Improving Segmentation and Classification Performance Across Different Sources in Ultrasound Images
RepsNet: Combining Vision with Language for Automated Medical Reports
MPMNet: Modal Prior Mutual-Support Network for Age-Related Macular Degeneration Classification
DA-VSR: Domain Adaptable Volumetric Super-Resolution for Medical Images
Robust Autonomous Model Learning from 2D and 3D Data Sets
Towards More Efficient Data Valuation in Healthcare Federated Learning Using Ensembling
A Framework to Compare Tractography Algorithms Based on Their Performance in Predicting Functional Networks
Vascular Registration in Photoacoustic Imaging by Low-Rank Alignment via Foreground, Background and Complement Decomposition
Bag-of-Particles Model for Simulating Tissue, Organs, and Flow
Personalized Respiratory Motion Model Using Conditional Generative Networks for MR-Guided Radiotherapy
Differentiation of Recurrent Glioblastoma from Radiation Necrosis Using Diffusion Radiomics: Machine Learning Model Development and External Validation
Probabilistic Modeling Ensemble Vision Transformer Improves Complex Polyp Segmentation
Self-supervised Learning of Morphological Representation for 3D EM Segments with Cluster-Instance Correlations
Towards 3D Ultrasound Image Based Soft Tissue Tracking: A Transrectal Ultrasound Prostate Image Alignment System
Improved Reconstruction of 4D-MR Images by Motion Predictions
Are Cardiovascular Risk Scores from Genome and Retinal Image Complementary? A Deep Learning Investigation in a Diabetic Cohort
MM-DINOv2: Adapting Foundation Models for Multi-modal Medical Image Analysis
Matching Sparse Sets of Cardiac Image Cross-Sections Using Large Deformation Diffeomorphic Metric Mapping Algorithm
Synthetic Echocardiographic Image Sequences for Cardiac Inverse Electro-Kinematic Learning
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation
Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets
Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases
DiffUS: Differentiable Ultrasound Rendering from Volumetric Imaging
Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice
FedGrav: An Adaptive Federated Aggregation Algorithm for Multi-institutional Medical Image Segmentation
Multimodal Fusion Network with Distribution-Based Tumor-Marker Imputation for Multi-origin Metastatic Cervical Lymphadenopathy Classification
Classification of Alzheimer's Disease Using a Self-Smoothing Operator
Adverse Effects of Image Tiling on Convolutional Neural Networks
Quality Assessment of Retinal Hyperspectral Images Using SURF and Intensity Features
Fast Nonparametric Mutual-Information-based Registration and Uncertainty Estimation
Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images
BrainNetGAN: Data Augmentation of Brain Connectivity Using Generative Adversarial Network for Dementia Classification
Beyond One-Hot Encoding? Journey Into Compact Encoding for Large Multi-Class Segmentation
Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis
Large-Scale 3D Infant Face Model
Uncertainty-Aware Multimodal Fusion for Reliable Fundus Disease Classification Using a Vision-Language Foundation Model
HoloPointNet: A Deep Learning Framework for Efficient 3D Point Cloud Holography
Variational Guidewire Tracking Using Phase Congruency
Indepth Integration of Multi-granularity Features from Dual-modal for Disease Classification
Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation
Automated Colorectal Tumour Segmentation in DCE-MRI Using Supervoxel Neighbourhood Contrast Characteristics
Interpretable Gender Classification from Retinal Fundus Images Using BagNets
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation
A Multi-task Learning Method for Direct Estimation of Spinal Curvature
Analysis of Mitral Valve Motion in 4D Transesophageal Echocardiography for Transcatheter Aortic Valve Implantation
Enhancing New Multiple Sclerosis Lesion Segmentation via Self-supervised Pre-training and Synthetic Lesion Integration
Automated Thermal Screening for COVID-19 Using Machine Learning
Monopolar Stimulation of the Implanted Cochlea: A Synthetic Population-Based Study
A Deformable Surface Model for Vascular Segmentation
Transitioning Between Convolutional and Fully Connected Layers in Neural Networks
A Framework for Predictive Modeling of Intra-operative Deformations: A Simulation-Based Study
An Anatomically-Informed 3D CNN for Brain Aneurysm Classification with Weak Labels
Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
Online Estimation of the Target Registration Error for n -Ocular Optical Tracking Systems
Left Atrial and Scar Quantification and Segmentation - First Challenge, LAScarQS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
An Explainable Multimodal Framework with LLM Agents for Intracranial Hemorrhage Detection
Non-local MRI Library-Based Super-Resolution: Application to Hippocampus Subfield Segmentation
Functional Near Infrared Spectroscopy in Novice and Expert Surgeons - A Manifold Embedding Approach
Time to Go Augmented in Vascular Interventional Neuroradiology?
AI-Driven Analysis of Sequential OCT Images for Detecting Neovascular Activity in Age-Related Macular Degeneration to Optimize Anti-VEGF Therapy
Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant
Model-Based Reconstruction for Highly Accelerated First-Pass Perfusion Cardiac MRI
Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks
Breast Mass Detection in Mammograms via Blending Adversarial Learning
Rethinking Cell Counting Methods: Decoupling Counting and Localization
Combined Learning for Similar Tasks with Domain-Switching Networks
An Ensemble Approach for Segmentation of Neonatal HIE Lesions
Preliminary Study on Appearance-Based Detection of Anatomical Point Landmarks in Body Trunk CT Images
Validation of PET Imaging by Alignment to Histology Slices
Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments
Automatic Mitral Valve Inflow Measurements from Doppler Echocardiography
Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches
Deep Boosted Regression for MR to CT Synthesis
CSAP-Assist: Instrument-Agent Dialogue Empowered Vision-Language Models for Collaborative Surgical Action Planning
Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation
Electrophysiology Model for a Human Heart with Ischemic Scar and Realistic Purkinje Network
Implicit Neural Representations for Registration of Left Ventricle Myocardium During a Cardiac Cycle
On the Accuracy of Isosurfaces in Tomographic Volume Visualization
Multimodal Brain Tumor Segmentation Using Ensemble of Forest Method
Attention Guided Network for Retinal Image Segmentation
Strain-Based Regional Nonlinear Cardiac Material Properties Estimation from Medical Images
An Effective Data Refinement Approach for Upper Gastrointestinal Anatomy Recognition
Modeling Brain Networks with Artificial Neural Networks
Constrained Self-supervised Method with Temporal Ensembling for Fiber Bundle Detection on Anatomic Tracing Data
Deep Generative Models - 4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra
Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-supervision, Mixture of Experts and Multi-task Integration
PMIL: Prompt Enhanced Multimodal Integrative Analysis of fMRI Combining Functional Connectivity and Temporal Latency
3D Non-rigid Motion Correction of Free-Breathing Abdominal DCE-MRI Data
Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI
Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models
Detection of Neuron Membranes in Electron Microscopy Images Using Multi-scale Context and Radon-Like Features
Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMR
Deep Denoising Network for X-Ray Fluoroscopic Image Sequences of Moving Objects
Improved Stroke Lesion Segmentation via Cross-Model Knowledge Distillation
Advanced Diabetic Retinopathy Classification: Integrating Pathological Indicators Segmentation and Morphological Feature Analysis
Registration of Microscopic Iris Image Sequences Using Probabilistic Mesh
Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks
Feature-Based Registration of Medical Images: Estimation and Validation of the Pose Accuracy
Priori and Posteriori Attention for Generalizing Head and Neck Tumors Segmentation
Optimized Conformal Parameterization of Cortical Surfaces Using Shape Based Matching of Landmark Curves
Auxiliary-Domain Learning for a Functional Prediction of Glaucoma Progression
How to Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-angle Maximum Intensity Projections and Diffusion Models
SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography
MedNNS: Supernet-Based Medical Task-Adaptive Neural Network Search
Ensemble-KAN: Leveraging Kolmogorov Arnold Networks to Discriminate Individuals with Psychiatric Disorders from Controls
Physics-Based Simulation to Enable Ultrasound Monitoring of HIFU Ablation: An MRI Validation
Deep Filter Bank Regression for Super-Resolution of Anisotropic MR Brain Images
Multispectral Image Registration Based on Local Canonical Correlation Analysis
Dense 2d Displacement Reconstruction from SPAMM-MRI with Constrained Elastic Splines: Implementation and Validation
NEURAL: Attention-Guided Pruning for Unified Multimodal Resource-Constrained Clinical Evaluation
Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors
Flip Distribution Alignment VAE for Multi-phase MRI Synthesis
Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XIII
QuickQual: Lightweight, Convenient Retinal Image Quality Scoring with Off-the-Shelf Pretrained Models
Discovering Brain Network Dysfunction in Alzheimer's Disease Using Brain Hypergraph Neural Network
Robust Motion Correction in the Frequency Domain of Cardiac MR Stress Perfusion Sequences
Detecting Changes of Functional Connectivity by Dynamic Graph Embedding Learning
Improved 3D Osteotomy Planning in Cranio-maxillofacial Surgery
Spherical Transformer on Cortical Surfaces
Novel Morphometric Based Classification via Diffeomorphic Based Shape Representation Using Manifold Learning
Perfect MCMC Sampling in Bayesian MRFs for Uncertainty Estimation in Segmentation
Hybrid Spline-Based Multimodal Registration Using Local Measures for Joint Entropy and Mutual Information
Compact Forceps Manipulator Using Friction Wheel Mechanism and Gimbals Mechanism for Laparoscopic Surgery
Compensating Motion Artifacts of 3D in vivo SD-OCT Scans
Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen
Elucidating Intravoxel Geometry in Diffusion-MRI: Asymmetric Orientation Distribution Functions (AODFs) Revealed by a Cone Model
Advanced Tumor Segmentation in Medical Imaging: An Ensemble Approach for BraTS 2023 Adult Glioma and Pediatric Tumor Tasks
Probabilistic Image Diversification to Improve Segmentation in 3D Microscopy Image Data
4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization
Virtual Fixtures for Robotic Cardiac Surgery
An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms
Learning a Sparse Database for Patch-Based Medical Image Segmentation
Feature-Space Kernel Prediction Network for Denoising of Low-Dose Brain CT
Objective Outcome Evaluation of Breast Surgery
An Artificial Agent for Anatomical Landmark Detection in Medical Images
Deep Learning via Fused Bidirectional Attention Stacked Long Short-Term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk Screening
Retinal Thickness Prediction from Multi-modal Fundus Photography
Phase Sensitive Reconstruction for Water/Fat Separation in MR Imaging Using Inverse Gradient
Learning Fully-Connected CRFs for Blood Vessel Segmentation in Retinal Images
Integrating Functional and Structural Images for Simultaneous Cardiac Segmentation and Deformation Recovery
RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction
Mass Transportation for Deformable Image Registration with Application to Lung CT
An In Vitro Patient-Tailored Model of Human Cerebral Artery for Simulating Endovascular Intervention
Adaptation of Surgical Activity Recognition Models Across Operating Rooms
Registration of Temporally Separated CT Colonography Cases
TemSAM: Temporal-Aware Segment Anything Model for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences
Multimodal Cardiac Segmentation Using Disentangled Representation Learning
Head and Neck Tumor Segmentation with 3D UNet and Survival Prediction with Multiple Instance Neural Network
Mind the Detail: Uncovering Clinically Relevant Image Details in Accelerated MRI with Semantically Diverse Reconstructions
A CNN-Based Multi-stage Framework for Renal Multi-structure Segmentation
Towards Optimization of Probe Placement for Radio-Frequency Ablation
WASABI: A Metric for Evaluating Morphometric Plausibility of Synthetic Brain MRIs
Elastic Demons: Characterizing Cortical Development in Neonates Using an Implicit Surface Registration
RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting
Tissue-Specific Sparse Deconvolution for Low-Dose CT Perfusion
Automated Surface Matching Using Mutual Information Applied to Riemann Surface Structures
Automatic Guide-Wire Detection for Neurointerventions Using Low-Rank Sparse Matrix Decomposition and Denoising
Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition
VinDr-SpineXR: A Deep Learning Framework for Spinal Lesions Detection and Classification from Radiographs
Convolutional Neural Networks for Segmentation of the Left Atrium from Gadolinium-Enhancement MRI Images
Three Uses of One Neural Network: Automatic Segmentation of Kidney Tumor and Cysts Based on 3D U-Net
Augmented Reality Assisted Laparoscopic Partial Nephrectomy
Disease Progression Prediction Incorporating Genotype-Environment Interactions: A Longitudinal Neurodegenerative Disorder Study
LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening
Modeling Cognitive Processes via Multi-stage Consistent Functional Response Detection
Trajectories from Distribution-Valued Functional Curves: A Unified Wasserstein Framework
A Multi-task Network for Anatomy Identification in Endoscopic Pituitary Surgery
A New Perspective to Boost Performance Fairness For Medical Federated Learning
A Multi-task Framework for Skin Lesion Detection and Segmentation
Random Direct Preference Optimization for Radiography Report Generation
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models
Deep Motion Network for Freehand 3D Ultrasound Reconstruction
Image Reconstruction via Variational Network for Real-Time Hand-Held Sound-Speed Imaging
Probabilistic Fitting of Active Shape Models
Finite Element Modeling of Brain Tumor Mass-Effect from 3D Medical Images
BrainPrint : Identifying Subjects by Their Brain
Multi-atlas and Multi-modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph
Acute Ischemic Stroke Onset Time Classification with Dynamic Convolution and Perfusion Maps Fusion
Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy
Simultaneous Fine and Coarse Diffeomorphic Registration: Application to Atrophy Measurement in Alzheimer's Disease
LightNeuS: Neural Surface Reconstruction in Endoscopy Using Illumination Decline
Adaptive Volumetric Detection of Lesions for Minimal-Preparation Dual-Energy CT Colonography
Symmetric Dilated Convolution for Surgical Gesture Recognition
Automated Model-Based Segmentation of the Left and Right Ventricles in Tagged Cardiac MRI
Cellular/Vascular Reconstruction Using a Deep CNN for Semantic Image Preprocessing and Explicit Segmentation
Glioblastoma Segmentation from Early Post-operative MRI: Challenges and Clinical Impact
Intra-operative Real-Time 3-D Information Display System Based on Integral Videography
Summarizing and Visualizing Uncertainty in Non-rigid Registration
Multiple Cortical Surface Correspondence Using Pairwise Shape Similarity
Compound Figure Separation of Biomedical Images with Side Loss
A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging
Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction
Physiopathology of Pulmonary Airways: Automated Facilities for Accurate Assessment
SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation
Simulation of the Exophthalmia Reduction Using a Finite Element Model of the Orbital Soft Tissues
Interactive Pre-Operative Selection of Cutting Constraints, and Interactive Force Controlled Knee Surgery by a Surgical Robot
Template Mask Based Image Fusion Built-in Algorithm for Wide Field Fundus Cameras
Style Curriculum Learning for Robust Medical Image Segmentation
Multi-modal Volume Registration Using Joint Intensity Distributions
Computer-Based Determination of the Newborn's Femoral Head Coverage Using Three-Dimensional Ultrasound Scans
Stabilize, Decompose, and Denoise: Self-supervised Fluoroscopy Denoising
Sparse Bayesian Inference of White Matter Fiber Orientations from Compressed Multi-resolution Diffusion MRI
3D-BreastNet: A Self-supervised Deep Learning Network for Reconstruction of 3D Breast Surface from 2D Thermal Images
A Viterbi Approach to Topology Inference for Large Scale Endomicroscopy Video Mosaicing
Groupwise Registration of MR Brain Images Containing Tumors via Spatially Constrained Low-Rank Based Image Recovery
Image Quality Classification for Automated Visual Evaluation of Cervical Precancer
Segmenting Brain Tumors Using Pseudo-Conditional Random Fields
A Novel Approach to Tongue Standardization and Feature Extraction
Steady-State Model of the Radio-Pharmaceutical Uptake for MR-PET
Group-Wise Diffeomorphic Diffusion Tensor Image Registration
Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency
Three-Dimensional Reconstruction and Quantification of Hip Joint Cartilages from Magnetic Resonances Images
Tumor Classification by Deep Polynomial Network and Multiple Kernel Learning on Small Ultrasound Image Dataset
FusionNet: A Frame Interpolation Network for 4D Heart Models
Quantifying Knee Cartilage Shape and Lesion: From Image to Metrics
Progressive Multi-channel Fusion Network for Myocardial Pathology Segmentation on Multi-modality CMR Images
Brain MRI Classification Using Gradient Boosting
A Conditional Random Field Approach for Coupling Local Registration with Robust Tissue and Structure Segmentation