yusuke1997/dblp-id-title huggingface dataset:
Extremely Weakly-Supervised Blood Vessel Segmentation with Physiologically Based Synthesis and Domain Adaptation
U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets
LesiOnTime - Joint Temporal and Clinical Modeling for Small Breast Lesion Segmentation in Longitudinal DCE-MRI
Severity Assessment of Psoriatic Plaques Using Deep CNN Based Ordinal Classification
Automatic Brain Tumor Segmentation Using Convolutional Neural Networks with Test-Time Augmentation
3D Modelling of the Residual Freezing for Renal Cryoablation Simulation and Prediction
MI 2 GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification
Coarse-To-Fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy
Proposal of a Smart Hospital Based on Internet of Things (IoT) Concept
Enhanced Planning of Interventions for Spinal Deformity Correction Using Virtual Modeling and Visualization Techniques
Bayesian Classification of Multiple Sclerosis Lesions in Longitudinal MRI Using Subtraction Images
Atlas Based Intensity Transformation of Brain MR Images
Improved Domain Generalization for Cell Detection in Histopathology Images via Test-Time Stain Augmentation
Minimally Invasive Excision of Deep Bone Tumors
EFMS-Net: Efficient Frequency-Enhanced Multi-scale Network for Ischemic Stroke Segmentation
Computer-Aided Implant Dentistry - An Early Report
Juvenile Refractive Power Prediction Based on Corneal Curvature and Axial Length via a Domain Knowledge Embedding Network
Multi-resolution Vessel Segmentation Using Normalized Cuts in Retinal Images
Computational and Physical Phantom Setups for the Second Cardiac Motion Analysis Challenge (cMAC2)
Standardized Analysis of Intracranial Aneurysms Using Digital Video Sequences
BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior
Bounding Maps for Universal Lesion Detection
Multi-linear 3D Craniofacial Infant Shape Model
Automating MedSAM by Learning Prompts with Weak Few-Shot Supervision
High-Dimensional White Matter Atlas Generation and Group Analysis
Single-Shot Deep Volumetric Regression for Mobile Medical Augmented Reality
Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network
Optimized Anisotropic Rotational Invariant Diffusion Scheme on Cone-Beam CT
Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health - Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings
Attention-Enhanced Fusion of Structural and Functional MRI for Analyzing HIV-Associated Asymptomatic Neurocognitive Impairment
OfGAN: Realistic Rendition of Synthetic Colonoscopy Videos
Novel Effective Connectivity Network Inference for MCI Identification
An Efficient Data Strategy for the Detection of Brain Aneurysms from MRA with Deep Learning
LOTUS: Learning to Optimize Task-Based US Representations
From Picoscale Pathology to Decascale Disease: Image Registration with a Scattering Transform and Varifolds for Manipulating Multiscale Data
Nonlinear Feature Transformation and Deep Fusion for Alzheimer's Disease Staging Analysis
Kinematic Geometry of Osteotomies
Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
Histopathological Stain Transfer Using Style Transfer Network with Adversarial Loss
Supervised Probabilistic Segmentation of Pulmonary Nodules in CT Scans
CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke
Deep Learning with Synthetic Diffusion MRI Data for Free-Water Elimination in Glioblastoma Cases
In Vivo MRI Assessment of Knee Cartilage in the Medial Meniscal Tear Model of Osteoarthritis in Rats
A Bayesian Algorithm for Image-Based Time-to-Event Prediction
Shape vs Flow: A 2D Statistical Shape Analysis of the Projection of Common Iliac Veins in Patients with Deep Vein Thrombosis
Generalized Robust Fundus Photography-Based Vision Loss Estimation for High Myopia
A Hybrid Multi-atrous and Multi-scale Network for Liver Lesion Detection
Distilling Effective Supervision for Robust Medical Image Segmentation with Noisy Labels
A Combinatorial Method for 3D Landmark-Based Morphometry: Application to the Study of Coronal Craniosynostosis
Evaluating Structural Connectomics in Relation to Different Q-space Sampling Techniques
A New Closed-Form Information Metric for Shape Analysis
Correlation-Adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis
Overview of the Head and Neck Tumor Segmentation for Magnetic Resonance Guided Applications (HNTS-MRG) 2024 Challenge
FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty Quantification
AGNet: Attention-Guided Network for Surgical Tool Presence Detection
Unsupervised Liver Tumor Segmentation with Pseudo Anomaly Synthesis
Surface Coil Intensity Correction and Non-linear Intensity Normalization Improve Pixel-Resolution Parametric Maps of Myocardial MRI Perfusion
Integration of Spatial Distribution in Imaging-Genetics
Conditional Fetal Brain Atlas Learning for Automatic Tissue Segmentation
Modeling the Neonatal Brain Development Using Implicit Neural Representations
GPU Based Real-Time Instrument Tracking with Three Dimensional Ultrasound
Semi-supervised Medical Image Classification with Global Latent Mixing
Model-Based Multi-view Fusion of Cinematic Flow and Optical Imaging
Analysis of Morphological Changes of Lamina Cribrosa Under Acute Intraocular Pressure Change
The Mesh-matching Algorithm: A New Automatic 3D Mesh Generator for Finite Element Analysis
Statistical Analysis of Structural Brain Connectivity
Rib Suppression in Digital Chest Tomosynthesis
Progressive Subsampling for Oversampled Data - Application to Quantitative MRI
Domain-Specialized Interactive Segmentation Framework for Meningioma Radiotherapy Planning
SVM Optimization for Hyperspectral Colon Tissue Cell Classification
O-Net: An Overall Convolutional Network for Segmentation Tasks
Textual Inversion and Self-supervised Refinement for Radiology Report Generation
Development of a Navigation-Based CAD System for Colon
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data
Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning
Clustering Analysis for Semi-supervised Learning Improves Classification Performance of Digital Pathology
Pose2Gait: Extracting Gait Features from Monocular Video of Individuals with Dementia
Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation
Global Diffeomorphic Phase Alignment of Time-Series from Resting-State fMRI Data
Particle Filtering for Nonlinear BOLD Signal Analysis
AI-Driven Multimodal TMJ Patient Modeling: From Unstructured Notes to Precision Treatment
Feasibility of Laparoscopic Surgery Assisted by a Robotic Telemanipulation System
TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis
SlicerSALT: From Medical Images to Quantitative Insights of Anatomy
Comparative Exudate Classification Using Support Vector Machines and Neural Networks
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images
Reducing Variability of Multiple Instance Learning Methods for Digital Pathology
Semi-supervised Machine Learning with MixMatch and Equivalence Classes
Integrating 3D Geometry of Organ for Improving Medical Image Segmentation
Dilatation of Lateral Ventricles with Brain Volumes in Infants with 3D Transfontanelle US
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers
DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation
From Slices to Volumes: Multi-scale Fusion of 2D and 3D Features for CT Scan Report Generation
Vision-Based Classification of Developmental Disorders Using Eye-Movements
Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE)
Uncertainty-Guided Progressive GANs for Medical Image Translation
AcneAI: A New Acne Severity Assessment Method Using Digital Images and Deep Learning
Free-Form Deformation Using Lower-Order B-spline for Nonrigid Image Registration
Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT: Application to Aortic Valve Implantation
Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns
Deep Learning Using Augmentation via Registration: 1st Place Solution to the AutoImplant 2020 Challenge
Fast, Intuitive, Vision-Based: Performance Metrics for Visual Registration, Instrument Guidance, and Image Fusion
Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation
Border Detection on Short Axis Echocardiographic Views Using a Region Based Ellipse-Driven Framework
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching Between 3D and 2D Networks
Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning
HR-CAM: Precise Localization of Pathology Using Multi-level Learning in CNNs
Left Atrial Appendage Neck Modeling for Closure Surgery
Endotracheal Tube Detection and Segmentation in Chest Radiographs Using Synthetic Data
Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-Based Deep Negative Correlation Learning
Automated Segmentation of the Liver from 3D CT Images Using Probabilistic Atlas and Multi-level Statistical Shape Model
Targeting Precision with Data Augmented Samples in Deep Learning
Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering
Analysis of Deformation of the Human Ear and Canal Caused by Mandibular Movement
Retinal Image Segmentation with a Structure-Texture Demixing Network
Gland Ring Morphometry for Prostate Cancer Prognosis in Multispectral Immunofluorescence Images
Temporal Subtraction of Thorax CR Images
DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology
Novel Looped-Catheter-Based 2D-3D Registration Algorithm for MR, 3DRx and X-Ray Images: Validation Study in an Ex-vivo Heart
Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks
GenSegNet: Leveraging Synthetic Sequences and Pseudo Labels for Multi-sequence Myocardial Pathology Segmentation
A Patch-Based Segmentation Approach with High Level Representation of the Data for Cortical Sulci Recognition
3D-ESPNet with Pyramidal Refinement for Volumetric Brain Tumor Image Segmentation
Patient-Specific Modeling of the Heart: Applications to Cardiovascular Disease Management
Corpus Callosum Subdivision Based on a Probabilistic Model of Inter-hemispheric Connectivity
Directional Averages for Motion Segmentation in Discontinuity Preserving Image Registration
X-Ray In-Depth Decomposition: Revealing the Latent Structures
Limits to the Accuracy of 3D Thickness Measurement in Magnetic Resonance Images
SPR-Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases
Self is the Best Learner: CT-Free Ultra-low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning
Tensor Splats: Visualising Tensor Fields by Texture Mapped Volume Rendering
Half Fourier Acquisition Applied to Time Series Analysis of Contrast Agent Uptake
LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification
Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network
Stain Based Contrastive Co-training for Histopathological Image Analysis
Lesion-Based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images
3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures
Semi-supervised Domain Adaptive Medical Image Segmentation Through Consistency Regularized Disentangled Contrastive Learning
Fast Analysis of Intracranial Aneurysms Based on Interactive Direct Volume Rendering and CTA
Needle Detection and Tracking in the TIPS Endovascular Procedure
U-Net: Convolutional Networks for Biomedical Image Segmentation
Ultra-DenseNet for Low-Dose X-Ray Image Denoising in Cardiac Catheter-Based Procedures
Bayesian Principal Geodesic Analysis in Diffeomorphic Image Registration
Cortical Sulcal Atlas Construction Using a Diffeomorphic Mapping Approach
Introducing QuantConn: Overcoming Challenging Diffusion Acquisitions with Harmonization
LOCUS: LOcal Cooperative Unified Segmentation of MRI Brain Scans
Design and Construction of a Realistic DWI Phantom for Filtering Performance Assessment
3D Prostate Segmentation in Ultrasound Images Based on Tapered and Deformed Ellipsoids
Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks
Iterative 3D Point-Set Registration Based on Hierarchical Vertex Signature (HVS)
Multilevel Modeling with Structured Penalties for Classification from Imaging Genetics Data
Stroke Lesion Segmentation with 2D Novel CNN Pipeline and Novel Loss Function
Fully Automated Deep Learning Based Segmentation of Normal, Infarcted and Edema Regions from Multiple Cardiac MRI Sequences
PCR-MIL: Phenotype Clustering Reinforced Multiple Instance Learning for Whole Slide Image Classification
A Bayesian Learning Application to Automated Tumour Segmentation for Tissue Microarray Analysis
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation
Class-Aware Mutual Mixup with Triple Alignments for Semi-supervised Cross-Domain Segmentation
Iterative Co-linearity Filtering and Parameterization of Fiber Tracts in the Entire Cingulum
Immediate ROI Search for 3-D Medical Images
Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information
Attenuation Correction Synthesis for Hybrid PET-MR Scanners
Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening
Dual-Modality Grading of Keratoconus Severity Based on Corneal Topography and Clinical Indicators
A Prior-Driven Lightweight Network for Endoscopic Exposure Correction
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features
An Open Framework Enabling Electromagnetic Tracking in Image-Guided Interventions
Surgical Navigation for THR: A Report on Clinical Trial Utilizing HipNav
A Near-Incompressible Poly-affine Motion Model for Cardiac Function Analysis
Robust 3D Organ Localization with Dual Learning Architectures and Fusion
DeMed: A Novel and Efficient Decentralized Learning Framework for Medical Images Classification on Blockchain
Scalp Diagnostic System with Label-Free Segmentation and Training-Free Image Translation
Multi-center Ovarian Tumor Classification Using Hierarchical Transformer-Based Multiple-Instance Learning
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
A Universal and Efficient Method to Compute Maps from Image-Based Prediction Models
Beyond Current Guided Bronchoscopy: A Robust and Real-Time Bronchoscopic Ultrasound Navigation System
Exploring the Use of Proper Orthogonal Decomposition for Enhancing Blood Flow Images Via Computational Fluid Dynamics
VCLIPSeg: Voxel-Wise CLIP-Enhanced Model for Semi-supervised Medical Image Segmentation
An Intensity Consistent Approach to the Cross Sectional Analysis of Deformation Tensor Derived Maps of Brain Shape
A Domain Adaption Approach for EEG-Based Automated Seizure Classification with Temporal-Spatial-Spectral Attention
The Role of Publicly Available Data in MICCAI Papers from 2014 to 2018
CogGNN: Cognitive Graph Neural Networks in Generative Connectomics
Automated Acquisition Planning for Magnetic Resonance Spectroscopy in Brain Cancer
Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification
A Method for Predicting the Outcomes of Combined Pharmacologic and Deep Brain Stimulation Therapy for Parkinson's Disease
TeethDreamer: 3D Teeth Reconstruction from Five Intra-Oral Photographs
Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound
Iterative Interaction Training for Segmentation Editing Networks
Active Cortex Tractography
Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior
Genetic Algorithm Enhanced nnU-Net for the MICCAI KiTS23 Challenge
A Statistical Framework for Partial Volume Segmentation
Computer Assisted Dental Implantology: A New Method and a Clinical Validation
Probabilistic Source Separation on Resting-State fMRI and Its Use for Early MCI Identification
FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis
Direct Myocardial Strain Assessment from Frequency Estimation in Tagging MRI
Exploitation of Mapper Algorithm in Neuroimaging Applications: A Novel Framework for Outcomes Prediction
SGT: Scene Graph-Guided Transformer for Surgical Report Generation
Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations
Uncertainty-aware Mean Teacher Framework with Inception and Squeeze-and-Excitation Block for MICCAI FLARE22 Challenge
Regional Homogeneity and Anatomical Parcellation for fMRI Image Classification: Application to Schizophrenia and Normal Controls
Multiple Instance Learning with Mixed Supervision in Gleason Grading
Gambling Adversarial Nets for Hard Sample Mining and Structured Prediction: Application in Ultrasound Thyroid Nodule Segmentation
Motion Representation of Ciliated Cell Images with Contour-Alignment for Automated CBF Estimation
Probabilistic Region Matching in Narrow-Band Endoscopy for Targeted Optical Biopsy
Manufacturing of Ultrasound- and MRI-Compatible Aortic Valves Using 3D Printing for Analysis and Simulation
BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision
Model-Based Analysis of Local Shape for Lesion Detection in CT Scans
Stroke Lesion Segmentation of 3D Brain MRI Using Multiple Random Forests and 3D Registration
Methods for Inverting Dense Displacement Fields: Evaluation in Brain Image Registration
Radiomics for Breast IR-Imaging Classification
Retinal Image Understanding Emerges from Self-Supervised Multimodal Reconstruction
Pyramid-Based Fully Convolutional Networks for Cell Segmentation
Simulated Animal Dissection
One For All: A Unified Approach to Classification and Self-explanation
Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data
Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Brain Tumor Segmentation in Multi-parametric MRI
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network
Uncertainty-Based Quality Assurance of Carotid Artery Wall Segmentation in Black-Blood MRI
Transformer-Based Dual-Domain Network for Few-View Dedicated Cardiac SPECT Image Reconstructions
Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases
Detection of Injury and Automated Triage of Preterm Neonatal MRI Using Patch-Based Gaussian Processes
GPSSI: Gaussian Process for Sampling Segmentations of Images
Modeling and Real-Time Simulation of a Vascularized Liver Tissue
Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life
Background and Illumination Correction for Time-Lapse Microscopy Data with Correlated Foreground
Transformer Based Multi-view Network for Mammographic Image Classification
Ray-Tracing Based Registration for HRCT Images of the Lungs
Multimodal Latent Semantic Alignment for Automated Prostate Tissue Classification and Retrieval
Hierarchical and Robust Pathology Image Reading for High-Throughput Cervical Abnormality Screening
Characterizing Continual Learning Scenarios for Tumor Classification in Histopathology Images
Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT Images
System Design for Implementing Distributed Modular Architecture to Reliable Surgical Robotic System
Laparoscope Self-calibration for Robotic Assisted Minimally Invasive Surgery
Human Brain Myelination from Birth to 4.5 Years
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I
Modelling Cycles in Brain Networks with the Hodge Laplacian
Anatomical Modelling of the Musculoskeletal System from MRI
SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking
Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images
Steerable Anatomical Shape Synthesis with Implicit Neural Representations
Anatomically Constrained Deformation for Design of Cranial Implant: Methodology and Validation
Overcoming Data Limitation in Medical Visual Question Answering
Precalibration Versus 2D-3D Registration for 3D Guide Wire Display in Endovascular Interventions
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration
An Analysis of Scale and Rotation Invariance in the Bag-of-Features Method for Histopathological Image Classification
Automated Characterization of Body Composition and Frailty with Clinically Acquired CT
Analysis of Suture Manipulation Forces for Teleoperation with Force Feedback
Consistent Brain Ageing Synthesis
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data
High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies
Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation
Harmonic Skeleton Guided Evaluation of Stenoses in Human Coronary Arteries
Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages
Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification
Imbalance-Effective Active Learning in Nucleus, Lymphocyte and Plasma Cell Detection
APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network
Time Domain Simulation of Harmonic Ultrasound Images and Beam Patterns in 3D Using the k-space Pseudospectral Method
Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation
A Novel Riemannian Metric for Geodesic Tractography in DTI
Multi-Modal Multi-Task Learning for Joint Prediction of Clinical Scores in Alzheimer's Disease
Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI
Percutaneous Posterior Stabilization of the Spine
Automated Detection of Diabetic Retinopathy from Smartphone Fundus Videos
DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data
Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with MSU-Net
A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation
Model-Driven Deep Attention Network for Ultra-fast Compressive Sensing MRI Guided by Cross-contrast MR Image
Automated Classification of General Movements in Infants Using Two-Stream Spatiotemporal Fusion Network
DSR: Direct Simultaneous Registration for Multiple 3D Images
Shape-Driven 3D Segmentation Using Spherical Wavelets
Graph Convolutional Network with Probabilistic Spatial Regression: Application to Craniofacial Landmark Detection from 3D Photogrammetry
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships Between Chest X-Rays
VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-Voxel Discrimination
Towards Tracking Breast Cancer Across Medical Images Using Subject-Specific Biomechanical Models
Proper Scoring Loss Functions Are Simple and Effective for Uncertainty Quantification of White Matter Hyperintensities
Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement
Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation