yusuke1997/dblp-id-title huggingface dataset:
Self-encoded Marker for Optical Prospective Head Motion Correction in MRI
Topologically Faithful Multi-class Segmentation in Medical Images
Global and Local Explanations for Skin Cancer Diagnosis Using Prototypes
FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video Generation
Federated Multi-domain GNN Network for Brain Multigraph Generation
Dual-Domain Iterative Network with Adaptive Data Consistency for Joint Denoising and Few-Angle Reconstruction of Low-Dose Cardiac SPECT
Segmentation of the Right Ventricle Using Diffusion Maps and Markov Random Fields
Webly Supervised Learning for Skin Lesion Classification
Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI
Spectral Graph Convolutions for Population-Based Disease Prediction
Strongly Topology-Preserving GNNs for Brain Graph Super-Resolution
2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks
Fundus Image Quality-Guided Diabetic Retinopathy Grading
Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties
Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation
Multi-resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping
Domain-Adversarial Neural Networks to Address the Appearance Variability of Histopathology Images
Optimizing BI-RADS 4 Lesion Assessment Using Lightweight Convolutional Neural Network with CBAM in Contrast Enhanced Mammography
What Makes for Automatic Reconstruction of Pulmonary Segments
A Semi-automatic Method for Segmentation of Multiple Sclerosis Lesions on Dual-Echo Magnetic Resonance Images
Total Variation Regularization of Displacements in Parametric Image Registration
3D Convolutional Networks for Fully Automatic Fine-Grained Whole Heart Partition
Patient Metadata-Constrained Shape Models for Cardiac Image Segmentation
Adversarial Connectome Embedding for Mild Cognitive Impairment Identification Using Cortical Morphological Networks
Efficient 3D Deep Learning for Myocardial Diseases Segmentation
Brain Tumor Segmentation on Multimodal MR Imaging Using Multi-level Upsampling in Decoder
GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as a Plug-and-Play Transductive Model for Medical Image Analysis
Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks
Multi-scale Profiling of Brain Multigraphs by Eigen-Based Cross-diffusion and Heat Tracing for Brain State Profiling
Multi-Dataset Multi-Task Learning for COVID-19 Prognosis
Surgical Activity Triplet Recognition via Triplet Disentanglement
Spatially-Constrained Probability Distribution Model of Incoherent Motion (SPIM) in Diffusion Weighted MRI Signals of Crohn's Disease
Total Variation Random Forest: Fully Automatic MRI Segmentation in Congenital Heart Diseases
Nuclei Segmentation in Histopathological Images Using Two-Stage Learning
Optimizing Aortic Segmentation with an Innovative Quality Assessment: The Role of Global Sensitivity Analysis
Guided M-Net for High-Resolution Biomedical Image Segmentation with Weak Boundaries
Oblique Random Forests for 3-D Vessel Detection Using Steerable Filters and Orthogonal Subspace Filtering
Learning-Based Attenuation Quantification in Abdominal Ultrasound
Optimal Feature Point Selection and Automatic Initialization in Active Shape Model Search
Whole-Heart Single Breath-Hold Cardiac Cine: A Robust Motion-Compensated Compressed Sensing Reconstruction Method
Introducing Space and Time in Local Feature-Based Endomicroscopic Image Retrieval
Automated Detection of New or Evolving Melanocytic Lesions Using a 3D Body Model
Hierarchical Multimodal Fusion of Deep-Learned Lesion and Tissue Integrity Features in Brain MRIs for Distinguishing Neuromyelitis Optica from Multiple Sclerosis
Linear Invariant Tensor Interpolation Applied to Cardiac Diffusion Tensor MRI
Efficient Semiautomatic Segmentation of 3D Objects in Medical Images
Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation
Statistical Neighbor Distance Influence in Active Contours
Correcting Motion Artifacts in Retinal Spectral Domain Optical Coherence Tomography via Image Registration
Brain Tumor Segmentation and Parsing on MRIs Using Multiresolution Neural Networks
Improving Diagnosis and Intervention: A Complete Approach for Registration of Liver CT Data
Super-Resolution by Latent Space Exploration: Training with Poorly-Aligned Clinical and Micro CT Image Dataset
Automatic Identification of Cortical Sulci Using a 3D Probabilistic Atlas
Local Phase-Based Learning for Needle Detection and Localization in 3D Ultrasound
EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training
Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network
Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-labeling for Semi-supervised Ultrasound Image Segmentation
PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development
Hands-Free Segmentation of Medical Volumes via Binary Inputs
Scandent Tree: A Random Forest Learning Method for Incomplete Multimodal Datasets
Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning
Three-Dimensional Slice Image Overlay System with Accurate Depth Perception for Surgery
Cardiovascular Disease Detection from Multi-view Chest X-Rays with BI-Mamba
Guide-Wire Extraction through Perceptual Organization of Local Segments in Fluoroscopic Images
Multivariate Network-Level Approach to Detect Interactions between Large-Scale Functional Systems
Prior-Driven Dynamic Brain Networks for Multi-modal Emotion Recognition
Towards Interpretable Counterfactual Generation via Multimodal Autoregression
Quantitative Assessments for Ultrasound Probe Calibration
Automatic Tomographic Ultrasound Imaging Sequence Extraction of the Anal Sphincter
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks
Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction
Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography
Learning a Structured Graphical Model with Boosted Top-Down Features for Ultrasound Image Segmentation
Hybrid Navigation Interface for Orthopedic and Trauma Surgery
Cross-Graph Interaction and Diffusion Probability Models for Lung Nodule Segmentation
Data Augmentation with Variational Autoencoders and Manifold Sampling
Statistical Modeling of Pulmonary Vasculatures with Topological Priors in CT Volumes
DSMS-FCN: A Deeply Supervised Multi-scale Fully Convolutional Network for Automatic Segmentation of Intervertebral Disc in 3D MR Images
Unsupervised Feature Learning for Endomicroscopy Image Retrieval
A Coarse-to-Fine Framework for the 2021 Kidney and Kidney Tumor Segmentation Challenge
Automatic Patient Registration for Port Placement in Minimally Invasixe Endoscopic Surgery
Medical Image Learning with Limited and Noisy Data - Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
CTooth+: A Large-Scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation
An Advanced Deep Learning Framework for Video-Based Diagnosis of ASD
XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention
High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers
USegMix: Unsupervised Segment Mix for Efficient Data Augmentation in Pathology Images
Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification
Intra-patient Prone to Supine Colon Registration for Synchronized Virtual Colonoscopy
Towards an Efficient Way of Building Annotated Medical Image Collections for Big Data Studies
Atlas-Based Under-Segmentation
Deep 2D Encoder-Decoder Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation in Brain MRI
Direct and Simultaneous Four-Chamber Volume Estimation by Multi-Output Regression
SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation
Automated Registration and Fusion of Functional and Anatomical MRI for Navigated Neurosurgery
Abdominal Imaging. Computation and Clinical Applications - 5th International Workshop, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings
Feature Copy-Paste Network for Lung Cancer EGFR Mutation Status Prediction in CT Images
An Evaluation of Deformation-Based Morphometry Applied to the Developing Human Brain and Detection of Volumetric Changes Associated with Preterm Birth
Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning
Contrast-Enhanced CT Renal Tumor Segmentation
Brain Shift Modeling for Use in Neurosurgery
Sim-to-Real Transformer-Based Shape Reconstruction for Automated Orthopedic Fracture Reduction Planning
Cell Counting with Inverse Distance Kernel and Self-supervised Learning
Physics-Guided Deep Image Prior Network for General Zero-Shot Stain Deconvolution
Machine Learning for Medical Image Reconstruction - 5th International Workshop, MLMIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
A Machine Learning Approach to Diffusion MRI Partial Volume Estimation
Learning 3D Medical Image Models from Brain Functional Connectivity Network Supervision for Mental Disorder Diagnosis
Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences
Fully Automated Left Atrium Cavity Segmentation from 3D GE-MRI by Multi-atlas Selection and Registration
Multi-modal Image Registration by Minimising Kullback-Leibler Distance
A System for Real-Time Endoscopic Image Enhancement
SALI: Short-Term Alignment and Long-Term Interaction Network for Colonoscopy Video Polyp Segmentation
Generation of a HER2 Breast Cancer Gold-Standard Using Supervised Learning from Multiple Experts
A Tensor-Based Population Value Decomposition to Explain Rectal Toxicity after Prostate Cancer Radiotherapy
Abdomen Segmentation in 3D Fetal Ultrasound Using CNN-powered Deformable Models
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis
GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy
Towards Personalized Interventional SPECT-CT Imaging
Anatomic-Constrained Medical Image Synthesis via Physiological Density Sampling
Sub-category Classifiers for Multiple-instance Learning and Its Application to Retinal Nerve Fiber Layer Visibility Classification
Optimal MAP Parameters Estimation in STAPLE - Learning from Performance Parameters versus Image Similarity Information
Fast Background Removal in 3D Fluorescence Microscopy Images Using One-Class Learning
Subject-Specific Structural Parcellations Based on Randomized AB-divergences
Orientation-Guided Graph Convolutional Network for Bone Surface Segmentation
Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images
Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development
Trackerless Volume Reconstruction from Intraoperative Ultrasound Images
Algorithmic Fairness in Lesion Classification by Mitigating Class Imbalance and Skin Tone Bias
Simulation of Intra-operative 3D Coronary Angiography for Enhanced Minimally Invasive Robotic Cardiac Intervention
An Object-Based Method for Rician Noise Estimation in MR Images
Image Guidance of Intracardiac Ultrasound with Fusion of Pre-operative Images
DIGS: Dynamic CBCT Reconstruction Using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation Model
Penalized Geodesic Tractography for Mitigating Gyral Bias
Fisher-Rao Regularized Transport Analysis of the Glymphatic System and Waste Drainage
Unsupervised Artifact Detection and Quantification via Contrastive Learning with Noise Reference
Personalized Modeling of Cardiac Electrophysiology Using Shape-Based Prediction of Fiber Orientation
Fast Multiatlas Selection Using Composition of Transformations for Radiation Therapy Planning
Age and Treatment Related Local Hippocampal Changes in Schizophrenia Explained by a Novel Shape Analysis Method
Lesion Elevation Prediction from Skin Images Improves Diagnosis
Robust Topographical Representation for Longitudinal Propagation of Tau Pathology
Tumor Growth Prediction with Hyperelastic Biomechanical Model, Physiological Data Fusion, and Nonlinear Optimization
Improved Curvature Estimation for Shape Analysis in Computer-Aided Detection of Colonic Polyps
Real-Time DRR Generation Using Cylindrical Harmonics
Inferring Disease Status by Non-parametric Probabilistic Embedding
Self-weighted Multi-task Learning for Subjective Cognitive Decline Diagnosis
Fully Automatic Bone Age Estimation from Left Hand MR Images
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images
Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI
Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-distillation
Robust and Accurate Coronary Artery Centerline Extraction in CTA by Combining Model-Driven and Data-Driven Approaches
Multi-modal Surface-Based Alignment of Cortical Areas Using Intra-cortical T1 Contrast
Surgical Action Planning with Large Language Models
Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks
Single Image Based Reconstruction of High Field-Like MR Images
MS-Net: Mixed-Supervision Fully-Convolutional Networks for Full-Resolution Segmentation
Bag of Tricks for Diabetic Retinopathy Grading of Ultra-Wide Optical Coherence Tomography Angiography Images
Instrumentation for Epidural Anesthesia
Development of a \upmu CT-based Patient-Specific Model of the Electrically Stimulated Cochlea
Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging
Unsupervised Learning of Shape Complexity: Application to Brain Development
Visual Explanation by Unifying Adversarial Generation and Feature Importance Attributions
CT Kernel Conversion Using Multi-domain Image-to-Image Translation with Generator-Guided Contrastive Learning
A Localized MKL Method for Brain Classification with Known Intra-class Variability
Multimodal Data Registration for Brain Structural Association Networks
A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI
Biomechanical Simulation of the Vitreous Humor in the Eye Using and Enhanced ChainMail Algorithm
Interpretability of Machine Intelligence in Medical Image Computing - 5th International Workshop, iMIMIC 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings
Multiscale 3D Shape Analysis Using Spherical Wavelets
Validation of Tissue Modelization and Classification Techniques in T1-Weighted MR Brain Images
Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings
Two-Stage Simulation Method to Improve Facial Soft Tissue Prediction Accuracy for Orthognathic Surgery
Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy
Channel Embedding for Informative Protein Identification from Highly Multiplexed Images
MoST-IG: Morphology-Guided Spatial Transcriptomics Integration via Visual-Genomic Graph Optimal Transport
Elastic Registration of Geodesic Vascular Graphs
Vertex Correspondence in Cortical Surface Reconstruction
Validation of Image Segmentation and Expert Quality with an Expectation-Maximization Algorithm
3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata
Robust Model-Based 3D/3D Fusion Using Sparse Matching for Minimally Invasive Surgery
U-Net Transplant: The Role of Pre-training for Model Merging in 3D Medical Segmentation
3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation
Diffeomorphic Lung Registration Using Deep CNNs and Reinforced Learning
A General Web-Based Platform for Automatic Delineation of Head and Neck Gross Tumor Volumes in PET/CT Images
Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder
Local Morphological Measures Confirm that Folding Within Small Partitions of the Human Cortex Follows Universal Scaling Law
Principal-Component Massive-Training Machine-Learning Regression for False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography
Light Adaptation for Classification of the Upper Gastrointestinal Sites
Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-Streamed Multi-scale Fusion
Fusion of Inertial Sensing to Compensate for Partial Occlusions in Optical Tracking Systems
Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions - 6th International Workshop, MIAR 2013 and 8th International Workshop, AE-CAI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings
3D Tracking of Laparoscopic Instruments Using Statistical and Geometric Modeling
A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics
A Novel ED Triage Framework Using Conditional Imputation, Multi-scale Semantic Learning, and Cross-Modal Fusion
V-Bundles: Clustering Fiber Trajectories from Diffusion MRI in Linear Time
Efficient 3D Tracking for Motion Compensation in Beating Heart Surgery
Constrained Learning of Task-Related and Spatially-Coherent Dictionaries from Task fMRI Data
Evaluation of Inter-session 3D-TRUS to 3D-TRUS Image Registration for Repeat Prostate Biopsies
Outlier Robust Disease Classification via Stochastic Confidence Network
In Vivo MRI Based Prostate Cancer Identification with Random Forests and Auto-context Model
Spatially Gene Expression Prediction Using Dual-Scale Contrastive Learning
Constructing Detailed Subject-Specific Models of the Human Masseter
Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data
Federated Multimodal and Multiresolution Graph Integration for Connectional Brain Template Learning
Point Cloud Diffusion Models for Automatic Implant Generation
An Optical Model of Whole Blood for Detecting Platelets in Lens-Free Images
Infant Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning
Learning Personal Representations from fMRI by Predicting Neurofeedback Performance
C-NCA: Chained Neural Cellular Automata for Fast and Accurate Thermal Ablation Estimation
Efficient Neural Network Approximation of Robust PCA for Automated Analysis of Calcium Imaging Data
MvHo-IB: Multi-view Higher-Order Information Bottleneck for Brain Disorder Diagnosis
Real-Time Simulation of Medical Ultrasound from CT Images
3D Guide Wire Reconstruction from Biplane Image Sequences for 3D Navigation in Endovascular Interventions
Construction of Neuroanatomical Shape Complex Atlas from 3D Brain MRI
Assessment of Tissue Injury in Severe Brain Trauma
Positional Contrastive Learning for Volumetric Medical Image Segmentation
Content-Aware Differential Privacy with Conditional Invertible Neural Networks
Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis
Progressive Hand-Eye Calibration for Laparoscopic Surgery Navigation
Harnessing Group-Sparsity Regularization for Resolution Enhancement of Lung 4D-CT
Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures
A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI
Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading
Continual Learning with Bayesian Model Based on a Fixed Pre-trained Feature Extractor
High-Resolution Segmentation of Lumbar Vertebrae from Conventional Thick Slice MRI
FoundBioNet: A Foundation-Based Model for IDH Genotyping of Glioma from Multi-parametric MRI
Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images
Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead
EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis
PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance Segmentation
A Graph Representation and Similarity Measure for Brain Networks with Nodal Features
A CT-Free Intraoperative Planning and Navigation System for High Tibial Dome Osteotomy
Analyzing and Improving Low Dose CT Denoising Network via HU Level Slicing
LGS: A Light-Weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction
Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation
Dynamic Hyperparameter Adjustment via Reinforcement Learning in Asynchronous Federated Learning for Medical Image Analysis
Semi-supervised Learning Regularized by Adversarial Perturbation and Diversity Maximization
Can Transfer Learning Improve Supervised Segmentation of White Matter Bundles in Glioma Patients?
Video-Based Computer Aided Arthroscopy for Patient Specific Reconstruction of the Anterior Cruciate Ligament
Weakly-Supervised 2D/3D Image Registration via Differentiable X-ray Rendering and ROI Segmentation
Connectomics in NeuroImaging - First International Workshop, CNI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings
Learning a Statistical Full Spine Model from Partial Observations
Deep Learning Based Metal Inpainting in the Projection Domain: Initial Results
Modeling 4D Changes in Pathological Anatomy Using Domain Adaptation: Analysis of TBI Imaging Using a Tumor Database
REMix: Refinement-Enhanced Visual-Textual Mixing for Lesion Segmentation
Segmentation of 4D Cardiac MR Images Using a Probabilistic Atlas and the EM Algorithm
Predicting Diverse Functional Connectivity from Structural Connectivity Based on Multi-contexts Discriminator GAN
Automatic, Accurate Surface Model Inference for Dental CAD/Cam
Context Enhanced Graphical Model for Object Localization in Medical Images
Using BI-RADS Descriptors and Ensemble Learning for Classifying Masses in Mammograms
Anatomy-Driven Pathology Detection on Chest X-rays
GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion
Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks
A Graph-Based Method for Optimal Active Electrode Selection in Cochlear Implants
Displacement Field Estimation from CSPAMM Images without Segmentation of the Myocardium
Spotlights: A Robust Method for Surface-Based Registration in Orthopedic Surgery
Synthesis of Pathological Dual-Channel Color Doppler Echocardiograms for Equitable Diagnosis of Heart Diseases
Unsupervised Deep Learning for Hippocampus Segmentation in 7.0 Tesla MR Images
Segmenting Continuous but Sparsely-Labeled Structures in Super-Resolution Microscopy Using Perceptual Grouping
3D Attention U-Net with Pretraining: A Solution to CADA-Aneurysm Segmentation Challenge
Light-weight Spatio-Temporal Graphs for Segmentation and Ejection Fraction Prediction in Cardiac Ultrasound
CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities
Estimation of Spontaneous Neuronal Activity Using Homomorphic Filtering
Affordable Deep Learning for Diagnosing Inherited and Common Retinal Diseases via Color Fundus Photography
Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach
DISCLOSE the Neurodegeneration Dynamics: Individualized ODE Discovery for Alzheimer's Disease Precision Medicine
Automated Dental CBCT Segmentation Using Pseudo Labeling Method
A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation
Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-supervised Framework for Medical Image Classification
MsNet: Multi-stage Learning from Seldom Labeled Data for 3D Tooth Segmentation in Dental Cone Beam Computed Tomography