yusuke1997/dblp-id-title huggingface dataset:
Regularized Stochastic White Matter Tractography Using Diffusion Tensor MRI
Patient Specific Models for Planning and Guidance of Minimally Invasive Aortic Valve Implantation
Bayesian Transformers and Higher-Order Graph Matching for Cell Tracking in Serial Tissue Sections
FLIm-Based in Vivo Classification of Residual Cancer in the Surgical Cavity During Transoral Robotic Surgery
Hippocampus-Specific fMRI Group Activation Analysis with Continuous M-Reps
Neuromorphic Neural Network for Multimodal Brain Image Segmentation and Overall Survival Analysis
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images
Towards Optical Biopsies with an Integrated Fibered Confocal Fluorescence Microscope
Clinical Image-Based Procedures. Translational Research in Medical Imaging - Third International Workshop, CLIP 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014, Revised Selected Papers
Shape-Based Alignment of Hippocampal Subfields: Evaluation in Postmortem MRI
Aν-Net: Automatic Detection and Segmentation of Aneurysm
Automated Full Quantification of Left Ventricle with Deep Neural Networks
Joint Holographic Detection and Reconstruction
Detection of Spontaneous Vesicle Release at Individual Synapses Using Multiple Wavelets in a CWT-Based Algorithm
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels
3D Swin Transformer for Partial Medical Auto Segmentation
Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRI
Hippocampus Segmentation Through Distance Field Fusion
Towards a Clinical Stereoscopic Augmented Reality System for Laparoscopic Surgery
Systo-Diastolic LV Shape Analysis by Geometric Morphometrics and Parallel Transport Highly Discriminates Myocardial Infarction
Pseudo-D: Informing Multi-view Uncertainty Estimation with Calibrated Neural Training Dynamics
A Dual Dynamic Programming Approach to the Detection of Spine Boundaries
Three Dimensional Comparison of Interventional MR Radiofrequency Ablation Images with Tissue Response
Chest X-Ray Report Generation Through Fine-Grained Label Learning
Collaborative Intelligence and Autonomy in Image-Guided Surgery - First International Workshop, COLAS 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
Cell Segmentation Using Coupled Level Sets and Graph-Vertex Coloring
Could the Consideration of Symmetry be Statistically Significant for Breast Infrared Analysis?
Efficient Optic Cup Detection from Intra-image Learning with Retinal Structure Priors
SAMConvex: Fast Discrete Optimization for CT Registration Using Self-supervised Anatomical Embedding and Correlation Pyramid
DeepOPG: Improving Orthopantomogram Finding Summarization with Weak Supervision
Risk of Training Diagnostic Algorithms on Data with Demographic Bias
Interface Design and Evaluation for CAS Systems
Heat Kernel Smoothing Using Laplace-Beltrami Eigenfunctions
Physics-Informed Self-supervised Deep Learning Reconstruction for Accelerated First-Pass Perfusion Cardiac MRI
Diffusion-Based Conv-Former Dual-Encode U-Net: DDPM for Level Set Evolution Mapping MICCAI STS 2023 Challenge
MSU-Net: Multiscale Statistical U-Net for Real-Time 3D Cardiac MRI Video Segmentation
Multi-modal Perceptual Adversarial Learning for Longitudinal Prediction of Infant MR Images
Prediction of Ischemic Stroke Lesion and Clinical Outcome in Multi-modal MRI Images Using Random Forests
Pairwise Relation Learning for Semi-supervised Gland Segmentation
Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings
Automatic Retinal Layer Segmentation Based on Live Wire for Central Serous Retinopathy
Image-Based Bronchoscopy Navigation System Based on CT and C-arm Fluoroscopy
Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks
Performance of Robotic Augmentation in Microsurgery-Scale Motions
Semi-automated Query Construction for Content-Based Endomicroscopy Video Retrieval
Wavelet Guided 3D Deep Model to Improve Dental Microfracture Detection
7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images
Automated Kidney Detection and Segmentation in 3D Ultrasound
Single-Scan mpMRI Calibration of Multi-species Brain Tumor Dynamics with Mass Effect
Building a Bridge: Close the Domain Gap in CT Metal Artifact Reduction
Local Contractive Registration for Quantification of Tissue Shrinkage in Assessment of Microwave Ablation
Disentanglement and Assessment of Shortcuts in Ophthalmological Retinal Imaging Exams
Coronary Intervention Planning Using Hybrid 3D Reconstruction
Temporal Diffeomorphic Free-Form Deformation for Strain Quantification in 3D-US Images
MNA-net: Multimodal Neuroimaging Attention-Based Architecture for Cognitive Decline Prediction
Longitudinal Self-supervision to Disentangle Inter-patient Variability from Disease Progression
Robust Inter-slice Intensity Normalization Using Histogram Scale-Space Analysis
Retrospective Evaluation of a Patient-Specific Liver Digital Twin to Predict Thermal Ablation Outcomes in HCC
Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images
Synthesis of Contrast-Enhanced Spectral Mammograms from Low-Energy Mammograms Using cGAN-Based Synthesis Network
Validation of a Novel Method for the Automatic Segmentation of Left Atrial Scar from Delayed-Enhancement Magnetic Resonance
Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound
Stochastic Finite Element Framework for Cardiac Kinematics Function and Material Property Analysis
Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries
Predictive Modeling of Anatomy with Genetic and Clinical Data
One for All: UNET Training on Single-Sequence Masks for Multi-sequence Breast MRI Segmentation
CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning
EfficientNet-B1 Based Diabetic Retinopathy Detection from Ultra-widefield Fundus Images
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
Fast Image-Level MRI Harmonization via Spectrum Analysis
Resource-Efficient Medical Image Analysis - First MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings
Interactive Direct Volume Rendering of Dural Arteriovenous Fistulae in MR-CISS Data
A Computer Diagnosing System of Dementia Using Smooth Pursuit Oculogyration
Lesion-Centered Vision Transformer for Stroke Outcome Prediction from Image and Clinical Data
Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-task Learning
Abdominal Imaging. Computational and Clinical Applications - Third International Workshop, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, September 18, 2011, Revised Selected Papers
Probabilistic Atlas of the Human Hippocampus Combining Ex Vivo MRI and Histology
LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos
Fast Medical Shape Reconstruction via Meta-learned Implicit Neural Representations
Computational Diffusion MRI - 12th International Workshop, CDMRI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
Inflated 3D Convolution-Transformer for Weakly-Supervised Carotid Stenosis Grading with Ultrasound Videos
Impact of Keypoint Detection on Graph-Based Characterization of Blood Vessels in Colonoscopy Videos
DiFUSAL: Diffusion-Based Fetal Ultrasound Synthesis with Active Learning
Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information
Fully Convolutional Network for Liver Segmentation and Lesions Detection
Multi-modal Image Classification Using Low-Dimensional Texture Features for Genomic Brain Tumor Recognition
Spectral and Shape Analysis in Medical Imaging - First International Workshop, SeSAMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Revised Selected Papers
Perceptual Evaluation of GANs and Diffusion Models for Generating X-Rays
Gall Bladder Cancer Detection from US Images with only Image Level Labels
HEp-2 Cell Image Classification: A Comparative Analysis
Respiratory Motion Correction in Emission Tomography Image Reconstruction
Localization Lens for Improving Medical Vision-Language Models
Segmentation-Free Estimation of Kidney Volumes in CT with Dual Regression Forests
Gradient Self-alignment in Private Deep Learning
DIAGNOSE: Avoiding Out-of-Distribution Data Using Submodular Information Measures
Overlapping Replicator Dynamics for Functional Subnetwork Identification
Supervoxel-Based Hierarchical Markov Random Field Framework for Multi-atlas Segmentation
Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning
Online Blind Calibration of Non-uniform Photodetectors: Application to Endomicroscopy
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part I
Incorporating Parameter Uncertainty in Bayesian Segmentation Models: Application to Hippocampal Subfield Volumetry
Neighbor Matching for Semi-supervised Learning
Discriminative Dictionary-Embedded Network for Comprehensive Vertebrae Tumor Diagnosis
A System for Biopsy Site Re-targeting with Uncertainty in Gastroenterology and Oropharyngeal Examinations
Automatic Analysis of Pediatric Renal Ultrasound Using Shape, Anatomical and Image Acquisition Priors
From Majority to Minority: A Diffusion-Based Augmentation for Underrepresented Groups in Skin Lesion Analysis
Deep Ensemble Sparse Regression Network for Alzheimer's Disease Diagnosis
Joint Identification of Network Hub Nodes by Multivariate Graph Inference
Bilateral Weighted Adaptive Local Similarity Measure for Registration in Neurosurgery
LNODE: Uncovering the Latent Dynamics of Aβ in Alzheimer's Disease
Assessing Annotator and Clinician Biases in an Open-Source-Based Tool Used to Generate Head CT Segmentations for Deep Learning Training
Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks
Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans
Registration of High Angular Resolution Diffusion MRI Images Using 4 th Order Tensors
Deriving a Multi-subject Functional-Connectivity Atlas to Inform Connectome Estimation
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers
White Matter Supervoxel Segmentation by Axial DP-Means Clustering
INSIDE: Steering Spatial Attention with Non-imaging Information in CNNs
Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images
Regression Concept Vectors for Bidirectional Explanations in Histopathology
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part III
Computer-Aided Diagnosis of Pigmented Skin Dermoscopic Images
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations
Federated Contrastive Learning for Decentralized Unlabeled Medical Images
Deep Learning and Machine Learning Techniques for Automated PET/CT Segmentation and Survival Prediction in Head and Neck Cancer
Intact Connectional Morphometricity Learning Using Multi-view Morphological Brain Networks with Application to Autism Spectrum Disorder
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification
Breaking with Fixed Set Pathology Recognition Through Report-Guided Contrastive Training
Multimodal Brain Image Analysis - Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings
Augmented Reality System for Oral Surgery Using 3D Auto Stereoscopic Visualization
A Novel Computer Aided Detection (CADe) Scheme for Colonic Polyps Based on the Structure Decomposition
Self-supervised Multiview Xray Matching
Point-Unet: A Context-Aware Point-Based Neural Network for Volumetric Segmentation
Medical and Technical Protocol for Automatic Navigation of a Wireless Device in the Carotid Artery of a Living Swine Using a Standard Clinical MRI System
Shape-Based Pose Estimation for Automatic Standard Views of the Knee
A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms
Nonlinear Discriminant Graph Embeddings for Detecting White Matter Lesions in FLAIR MRI
Automatic Diagnosis with 12-Lead ECG Signals
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XI
MRI-Guided Robotic Prostate Biopsy: A Clinical Accuracy Validation
Structure-Guided Nonrigid Registration of CT-MR Pelvis Scans with Large Deformations in MR-Based Image Guided Radiation Therapy
Computer-Aided Diagnosis of Pulmonary Nodules Using Three-Dimensional Thoracic CT Images
Novel Multi-Atlas Segmentation by Matrix Completion
Registration-Based Patient-Specific Musculoskeletal Modeling Using High Fidelity Cadaveric Template Model
Generating BlobCell Label from Weak Annotations for Precise Cell Segmentation
HecVL: Hierarchical Video-Language Pretraining for Zero-Shot Surgical Phase Recognition
Liver Registration for the Follow-Up of Hepatic Tumors
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-Aware Feature Alignment and Pseudo-Labelling
3D Steering of a Flexible Needle by Visual Servoing
Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction
Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning Using Landmark Retrieval
Debiasing Medical Visual Question Answering via Counterfactual Training
Efficient Multi-class Fetal Brain Segmentation in High Resolution MRI Reconstructions with Noisy Labels
SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation
UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease
Spatiotemporal Normalization for Longitudinal Analysis of Gray Matter Atrophy in Frontotemporal Dementia
Model Tags: Direct 3D Tracking of Heart Wall Motion from Tagged Magnetic Resonance Images
Conditional Diffusion Model with Spatial Attention and Latent Embedding for Medical Image Segmentation
Improving the Performance and Explainability of Mammogram Classifiers with Local Annotations
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube
3D Moment Invariant Based Morphometry
DCNN-Based Automatic Segmentation and Quantification of Aortic Thrombus Volume: Influence of the Training Approach
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection
Shape Filtering for False Positive Reduction at Computed Tomography Colonography
CavityBASNet: Cavity-Focused Biatrial Automatic Segmentation on LGE-MRI with Augmented Input Channel and Left-Right Myocardium Splitting
Probabilistic Surface Reconstruction with Unknown Correspondence
A Radiological-Based Coordinate System for the Human Body: A Proof-of-Concept
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
Vessel Driven Correction of Brain Shift
Intrafraction Prostate Motion Correction Using a Non-rectilinear Image Frame
Belief Propagation Based Segmentation of White Matter Tracts in DTI
Context-Aware Inductive Bias Learning for Vessel Border Detection in Multi-modal Intracoronary Imaging
HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images
A Variational Framework for Joint Detection and Segmentation of Ovarian Cancer Metastases
OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Genetic Clustering on the Hippocampal Surface for Genome-Wide Association Studies
Solutions for Missing Parameters in Computer-Aided Diagnosis with Multiparametric Imaging Data
ESU-P-Net: Cascading Network for Full Quantification of Left Ventricle from Cine MRI
An Augmented Reality Navigation System with a Single-Camera Tracker: System Design and Needle Biopsy Phantom Trial
RT-GAN: Recurrent Temporal GAN for Adding Lightweight Temporal Consistency to Frame-Based Domain Translation Approaches
FedPerl: Semi-supervised Peer Learning for Skin Lesion Classification
Ophthalmic Medical Image Analysis - 6th International Workshop, OMIA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, Proceedings
Real-Time Surgical Simulation with Haptic Sensation as Collaborated Works between Japan and Germany
Computational Anatomy in Theano
Airway Tree Extraction with Locally Optimal Paths
Modeling Respiratory Motion for Cancer Radiation Therapy Based on Patient-Specific 4DCT Data
Synth-by-Reg (SbR): Contrastive Learning for Synthesis-Based Registration of Paired Images
Cardiac-Motion Compensated MR Imaging and Strain Analysis of Ventricular Trabeculae
Ultrasound Video Summarization Using Deep Reinforcement Learning
Video-Based Surgical Skills Assessment Using Long Term Tool Tracking
Partially Supervised Multi-organ Segmentation via Affinity-Aware Consistency Learning and Cross Site Feature Alignment
Left Ventricular Segmentation in MR Using Hierarchical Multi-class Multi-feature Fuzzy Connectedness
Statistical Analysis of Longitudinal MRI Data: Applications for Detection of Disease Activity in MS
Customised Cytoarchitectonic Probability Maps Using Deformable Registration: Primary Auditory Cortex
Microscopic Fine-Grained Instance Classification Through Deep Attention
Brain Status Prediction with Non-negative Projective Dictionary Learning
Finding Landmarks in the Functional Brain: Detection and Use for Group Characterization
Robustness Stress Testing in Medical Image Classification
A U-Net Based System for Cranial Implant Design with Pre-processing and Learned Implant Filtering
Learning a Spatiotemporal Dictionary for Magnetic Resonance Fingerprinting with Compressed Sensing
A Transfer Learning Exploited for Indexing Protein Structures from 3D Point Clouds
Neural Fields for Continuous Periodic Motion Estimation in 4D Cardiovascular Imaging
Simultaneous Multi-object Segmentation Using Local Robust Statistics and Contour Interaction
Self-training with Selective Re-training Improves Abdominal Organ Segmentation in CT Image
SK-Unet: An Improved U-Net Model with Selective Kernel for the Segmentation of Multi-sequence Cardiac MR
Signal LMMSE Estimation from Multiple Samples in MRI and DT-MRI
TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes
Multi-source Domain Adaptation Using Gradient Reversal Layer for Mitotic Cell Detection
Deep Radiomic Features from MRI Scans Predict Survival Outcome of Recurrent Glioblastoma
Domain Generalizer: A Few-Shot Meta Learning Framework for Domain Generalization in Medical Imaging
Velocity Based Segmentation in Phase Contrast MRI Images
Isotropic MRI Super-Resolution Reconstruction with Multi-scale Gradient Field Prior
Coronary Artery Calcium Scoring from Non-contrast Cardiac CT Using Deep Learning with External Validation
Statistical Shape Clustering of Left Atrial Appendages
Spatial Regularization of Functional Connectivity Using High-Dimensional Markov Random Fields
A Deep Residual Inception Network for HEp-2 Cell Classification
Predicting Radiation Therapy Response Based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI
Segmentation of White Matter Lesions from Volumetric MR Images
Diffeomorphism Invariant Riemannian Framework for Ensemble Average Propagator Computing
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation
Transmural Electrophysiologic and Scar Imaging on Porcine Heart with Chronic Infarction
Realistic Surgical Image Dataset Generation Based on 3D Gaussian Splatting
Automatic Recovery of the Left Ventricular Blood Pool in Cardiac Cine MR Images
Structured State Space Models for Multiple Instance Learning in Digital Pathology
Towards Intra-operative OCT Guidance for Automatic Head Surgery: First Experimental Results
A Method for Predicting Alzheimer's Disease Based on the Fusion of Single Nucleotide Polymorphisms and Magnetic Resonance Feature Extraction
Recovery of Liver Motion and Deformation Due to Respiration Using Laparoscopic Freehand 3D Ultrasound System
Self-supervised Vessel Enhancement Using Flow-Based Consistencies
Interactive, GPU-Based Level Sets for 3D Segmentation
Patch-Based Deep Convolutional Neural Network for Corneal Ulcer Area Segmentation
Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes
Preoperative Planning for Guidewires Employing Shape-Regularized Segmentation and Optimized Trajectories
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2002, 5th International Conference, Tokyo, Japan, September 25-28, 2002, Proceedings, Part II
Image-Based Estimation of Myocardial Acceleration Using TDFFD: A Phantom Study
Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status
An Open Source Multimodal Image-Guided Prostate Biopsy Framework
HiProtoNet: Hyperbolic Hierarchy-Aware Part Prototypes for Aortic Stenosis Severity Classification
Augmented Reality Ultrasound Guidance for Central Line Procedures: Preliminary Results
Topological Distances Between Brain Networks
Detection of the Pharyngeal Phase in the Videofluoroscopic Swallowing Study Using Inflated 3D Convolutional Networks
Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time
3D LV Probabilistic Segmentation in Cardiac MRI Using Generative Adversarial Network
Localizing Cardiac Structures in Fetal Heart Ultrasound Video
Construction of a Deformable Spatiotemporal MRI Atlas of the Fetal Brain: Evaluation of Similarity Metrics and Deformation Models
Patch-Level Instance-Group Discrimination with Pretext-Invariant Learning for Colitis Scoring
A Steering Engine: Learning 3-D Anatomy Orientation Using Regression Forests
Image-Based Control of Interactive Robotics Systems
Cortical Surface Registration Using Texture Mapped Point Clouds and Mutual Information
Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D Echo Views
Early Detection of Liver Fibrosis Using Graph Convolutional Networks
Clinical Image-Based Procedures. Translational Research in Medical Imaging - 5th International Workshop, CLIP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings
Complex Lung Motion Estimation via Adaptive Bilateral Filtering of the Deformation Field
Epicardium Prompt-Guided Real-Time Cardiac Ultrasound Frame-to-Volume Registration
Deep Learning Assisted Automatic Intra-operative 3D Aortic Deformation Reconstruction
Diffusion-Based Data Augmentation for Nuclei Image Segmentation
Enabling PSO-Secure Synthetic Data Sharing Using Diversity-Aware Diffusion Models
Evaluation of Adjoint Methods in Photoacoustic Tomography with Under-Sampled Sensors
MGDR: Multi-modal Graph Disentangled Representation for Brain Disease Prediction
Automatic Assessment of Image Informativeness in Colonoscopy
Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation
Survival Prediction Based on Histopathology Imaging and Clinical Data: A Novel, Whole Slide CNN Approach
Robust Visualization of the Dental Occlusion by a Double Scan Procedure
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework
Improved Tissue Segmentation by Including an MR Acquisition Model