yusuke1997/dblp-id-title huggingface dataset:
Local Structure Prediction with Convolutional Neural Networks for Multimodal Brain Tumor Segmentation
Joint Factor and Kinetic Analysis of Dynamic FDOPA PET Scans of Brain Cancer Patients
Maximum-Margin Based Representation Learning from Multiple Atlases for Alzheimer's Disease Classification
Virtual Stent Grafting in Personalized Surgical Planning for Treatment of Aortic Aneurysms Using Image-Based Computational Fluid Dynamics
GFD Faster R-CNN: Gabor Fractal DenseNet Faster R-CNN for Automatic Detection of Esophageal Abnormalities in Endoscopic Images
Text-Guided Foundation Model Adaptation for Pathological Image Classification
Frequency-Selective Learning for CT to MR Synthesis
Detection of Substantia Nigra Echogenicities in 3D Transcranial Ultrasound for Early Diagnosis of Parkinson Disease
A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised Segmentation
Towards Complementary Explanations Using Deep Neural Networks
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part I
Models of Normal Variation and Local Contrasts in Hippocampal Anatomy
Meta-modulation Network for Domain Generalization in Multi-site fMRI Classification
Augmenting Capsule Endoscopy Diagnosis: A Similarity Learning Approach
Global Medical Shape Analysis Using the Laplace-Beltrami Spectrum
Joint Estimation of Cardiac Motion and T_1^* Maps for Magnetic Resonance Late Gadolinium Enhancement Imaging
Attention-Based Interpretable Regression of Gene Expression in Histology
SPARTA: Spectral Prompt Agnostic Adversarial Attack on Medical Vision-Language Models
Harnessing EHRs for Diffusion-Based Anomaly Detection on Chest X-Rays
Semi-supervised Two-Stage Abdominal Organ and Tumor Segmentation Model with Pseudo-labeling
Incorporating Privileged Genetic Information for Fundus Image Based Glaucoma Detection
An Approach to Building Foundation Models for Brain Image Analysis
A Nonparametric Growth Model for Brain Tumor Segmentation in Longitudinal MR Sequences
Maximum Likelihood and James-Stein Edge Estimators for Left Ventricle Tracking in 3D Echocardiography
Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline
Virtual DSA for Learning Contrast Agent Dynamics in Projection Space
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification
Wavelet Appearance Pyramids for Landmark Detection and Pathology Classification: Application to Lumbar Spinal Stenosis
Deep Subspace Analysing for Semi-supervised Multi-label Classification of Diabetic Foot Ulcer
Robot-Assisted Diagnostic Ultrasound - Design and Feasibility Experiments
3-D Fusion of Biplane Angiography and Intravascular Ultrasound for Accurate Visualization and Volumetry
An Anatomical Model of the Knee Joint Obtained by Computer Dissection
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part V
UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation
Multiple-Network Classification of Childhood Autism Using Functional Connectivity Dynamics
Classification of Ulcerative Colitis Severity in Colonoscopy Videos Using Vascular Pattern Detection
Interactive Visualisation of MRI Vector and Tensor Fields
Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram
Self-prompting Large Vision Models for Few-Shot Medical Image Segmentation
Corpus Callosum Segmentation in Brain MRIs via Robust Target-Localization and Joint Supervised Feature Extraction and Prediction
A Closed-Form Solution to Electromagnetic Sensor Based Intraoperative Limb Length Measurement in Total Hip Arthroplasty
DScGANS: Integrate Domain Knowledge in Training Dual-Path Semi-supervised Conditional Generative Adversarial Networks and S3VM for Ultrasonography Thyroid Nodules Classification
Image Analysis of Newborn Plantar Surface for Gestational Age Determination
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation
A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs
Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging Data
Retrieval of 4D Dual Energy CT for Pulmonary Embolism Diagnosis
Shape-Based Curve Growing Model and Adaptive Regularization for Pulmonary Fissure Segmentation in CT
Beyond Retinal Layers: A Large Blob Detection for Subretinal Fluid Segmentation in SD-OCT Images
DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation
MReg: A Novel Regression Model with MoE-Based Video Feature Mining for Mitral Regurgitation Diagnosis
Efficient and Gender-Adaptive Graph Vision Mamba for Pediatric Bone Age Assessment
Improving Whole-Brain Neural Decoding of fMRI with Domain Adaptation
Calibrated Surrogate Maximization of Dice
Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation
Perfusion Parameter Estimation Using Neural Networks and Data Augmentation
Self-supervised Learning of Inverse Problem Solvers in Medical Imaging
Personalized Diagnostic Tool for Thyroid Cancer Classification Using Multi-view Ultrasound
Customized Design of Hearing Aids Using Statistical Shape Learning
Interpolation Artefacts in Non-rigid Registration
Mapping Dynamic Changes in Ventricular Volume onto Baseline Cortical Surfaces in Normal Aging, MCI, and Alzheimer's Disease
Improved Time-Resolved MRA Using k-Space Deep Learning
Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework
Finding Effective Ways to (Machine) Learn fMRI-Based Classifiers from Multi-site Data
High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model
Investigating Brain Age Deviation in Preterm Infants: A Deep Learning Approach
Optical Biopsy Mapping for Minimally Invasive Cancer Screening
Online Parameter Estimation for Surgical Needle Steering Model
RVSeg-Net: An Efficient Feature Pyramid Cascade Network for Retinal Vessel Segmentation
Semi-supervised Meta-learning with Disentanglement for Domain-Generalised Medical Image Segmentation
Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification
Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease
Detection of Glands and Villi by Collaboration of Domain Knowledge and Deep Learning
A Dual-Stream Network for Langerhans' Cells Segmentation in CCM Images
Surface Based Atlas Matching of the Brain Using Deformable Surfaces and Volumetric Finite Elements
LM-UNet: Whole-Body PET-CT Lesion Segmentation with Dual-Modality-Based Annotations Driven by Latent Mamba U-Net
Diffusion k -tensor Estimation from Q-ball Imaging Using Discretized Principal Axes
Pelvic Fracture Segmentation Using a Multi-scale Distance-Weighted Neural Network
Healthy and Scar Myocardial Tissue Classification in DE-MRI
Chest Modeling and Personalized Surgical Planning for Pectus Excavatum
Weakly-Supervised Convolutional Neural Networks for Inferior Alveolar Nerve Segmentation in CBCT Images
Multi-step Segmentation of Pelvic Fractures: Handling Variable Fracture Counts Through Anatomical and Surface Analysis
Image Estimation from Marker Locations for Dose Calculation in Prostate Radiation Therapy
A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning
Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining
Automatic Deformable Diffusion Tensor Registration for Fiber Population Analysis
Improving the Scan-Rescan Precision of AI-Based CMR Biomarker Estimation
Landmark-Guided Deformable Image Registration for Supervised Autonomous Robotic Tumor Resection
Fast Data-Driven Calibration of a Cardiac Electrophysiology Model from Images and ECG
Semi-Supervised Learning for Deep Causal Generative Models
Multi-scale Cell Instance Segmentation with Keypoint Graph Based Bounding Boxes
Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification
Learning Patient-Specific Lumped Models for Interactive Coronary Blood Flow Simulations
Photoacoustic Imaging Paradigm Shift: Towards Using Vendor-Independent Ultrasound Scanners
ImLib3D: An Efficient, Open Source, Medical Image Processing Framework in C++
TRP-Net: Transformer with RMM and PPM for High-Efficiency Circulating Abnormal Cells Detection in Multichannel Fluorescence Imaging
A Framework for the Generation of Realistic Brain Tumor Phantoms and Applications
Brain Shift Computation Using a Fully Nonlinear Biomechanical Model
Motion Compensated SLAM for Image Guided Surgery
Automated Medical Image Modality Recognition by Fusion of Visual and Text Information
FaceOff: Anonymizing Videos in the Operating Rooms
Random 2.5D U-net for Fully 3D Segmentation
Shortcut Learning in Medical Image Segmentation
Data-Efficient Radiology Report Generation via Similar Report Features Enhancement
MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer
Tractometric Coherence of Fiber Bundles in DTI
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation
LTSE: Language-Guided Tissue Referring Segmentation in Pathology Images with Adaptive Expert Mixture
tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation
A Cascaded Multi-modality Analysis in Mild Cognitive Impairment
3D Deep Affine-Invariant Shape Learning for Brain MR Image Segmentation
AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography
Pseudo-3D Network for Multi-sequence Cardiac MR Segmentation
Refining Intraocular Lens Power Calculation: A Multi-modal Framework Using Cross-Layer Attention and Effective Channel Attention
Interactive Guidance by Image Overlay in Robot Assisted Coronary Artery Bypass
Deep Learning for Quality Control of Subcortical Brain 3D Shape Models
Let's Agree to Disagree: Learning Highly Debatable Multirater Labelling
STREM: A Robust Multidimensional Parametric Method to Segment MS Lesions in MRI
3D Medical Image Segmentation by Multiple-Surface Active Volume Models
MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net for Multi-modal Alzheimer's Classification
Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation
Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints
Do We Need Complex Image Features to Personalize Treatment of Patients with Locally Advanced Rectal Cancer?
A Pretrained DenseNet Encoder for Brain Tumor Segmentation
Unified Modeling of Imputation, Forecasting, and Prediction for AD Progression
Diabetic Foot Ulcer Grand Challenge 2024: Overview and Baseline Methods
End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification
HA-SAM: Hierarchically Adapting SAM for Nerve Segmentation in Ultrasound Images
From Reports to Relations: Large Language Models for Knowledge Graph Extraction in Digital Pathology
Interventional Digital Tomosynthesis from a Standard Fluoroscopy System Using 2D-3D Registration
Uncertainty Guided Semi-supervised Segmentation of Retinal Layers in OCT Images
Distance Networks for Morphological Profiling and Characterization of DICCCOL Landmarks
An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and Its Application for Automatically Computing the Conformational Pathway
Left Atrial Appendage Segmentation Based on Ranking 2-D Segmentation Proposals
Automatic Segmentation of Articular Cartilage in Magnetic Resonance Images of the Knee
Semantic Difference Guidance for the Uncertain Boundary Segmentation of CT Left Atrial Appendage
Follow the Radiologist: Clinically Relevant Multi-view Cues for Breast Cancer Detection from Mammograms
Non-rigid 2D-3D Medical Image Registration Using Markov Random Fields
ITAdaptor: Image-Tag Adapter Framework with Knowledge Enhancement for Radiology Report Generation
DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification
Optimal MRI Undersampling Patterns for Pathology Localization
Generative Self-training for Cross-Domain Unsupervised Tagged-to-Cine MRI Synthesis
Single-Cell Spatial Analysis of Histopathology Images for Survival Prediction via Graph Attention Network
Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning
Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification
Real-Time Synthesis of Bleeding for Virtual Hysteroscopy
NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation
Contact Force Measurement of Instruments for Force-Feedback on a Surgical Robot: Acceleration Force Cancellations Based on Acceleration Sensor Readings
1D-3D Registration for Functional Nuclear Imaging
Spatial Feature Conservation Networks (SFCNs) for Dilated Convolutions to Improve Breast Cancer Segmentation from DCE-MRI
Boundary Delineation in Prostate Imaging Using Active Contour Segmentation Method with Interactively Defined Object Regions
VidFuncta: Towards Generalizable Neural Representations for Ultrasound Videos
Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network
Robust Photoacoustic Beamforming Using Dense Convolutional Neural Networks
Joint Correlational and Discriminative Ensemble Classifier Learning for Dementia Stratification Using Shallow Brain Multiplexes
A Novel Technique for Simulating Transcranial Doppler Examinations In Vitro
Anatomical Landmark Detection Using Nearest Neighbor Matching and Submodular Optimization
Uncertainty-Aware Diffusion-Based Adversarial Attack for Realistic Colonoscopy Image Synthesis
Uncertainty in Tractography via Tract Confidence Regions
Towards Scale and Position Invariant Task Classification Using Normalised Visual Scanpaths in Clinical Fetal Ultrasound
3D Brain MRI GAN-Based Synthesis Conditioned on Partial Volume Maps
Improved Reproducibility of Neuroanatomical Definitions through Diffeomorphometry and Complexity Reduction
SSPNet: Towards Feasible Spatio-Spectral Portraits-Based Deep Learning Framework for Neurodegenerative Disease Multi-classification
An Efficiency Coarse-to-Fine Segmentation Framework for Abdominal Organs Segmentation
Computing Maximum Association Graph in Microscopic Nucleus Images
Topology Noise Removal for Curve and Surface Evolution
Evaluation of Strategies for PET Motion Correction - Manifold Learning vs. Deep Learning
Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images
7 Years of Developing Seed Techniques for Alzheimer's Disease Diagnosis Using Brain Image and Connectivity Data Largely Bypassed Prediction for Prognosis
Conditional Diffusion Models for Guided Anomaly Detection in Brain MRI Using Fluid-Driven Anomaly Randomization
In-Vitro Validation of a Novel Model-Based Approach to the Measurement of Arterial Blood Flow Waveforms from Dynamic Digital X-ray Images
Convolutional Neural Network Architectures for the Automated Diagnosis of Celiac Disease
Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction
TBS: Tensor-Based Supervoxels for Unfolding the Heart
Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data
Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma
Segmenting Thalamic Nuclei: What Can We Gain from HARDI?
Multi-agent Reasoning for Cardiovascular Imaging Phenotype Analysis
Deep is a Luxury We Don't Have
Longitudinal Change Detection on Chest X-rays Using Geometric Correlation Maps
Anisotropic ssTEM Image Segmentation Using Dense Correspondence across Sections
Deriving Visual Cues from Deep Learning to Achieve Subpixel Cell Segmentation in Adaptive Optics Retinal Images
TaG-Net: Topology-Aware Graph Network for Vessel Labeling
Automatic Segmentation of the Intracranial Volume in Fetal MR Images
Database Annotation with Few Examples: An Atlas-Based Framework Using Diffeomorphic Registration of 3D Trees
LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation
Tracing Based Segmentation for the Labeling of Individual Rib Structures in Chest CT Volume Data
Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach
Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging
D 3 M: Deformation-Driven Diffusion Model for Synthesis of Contrast-Enhanced MRI with Brain Tumors
Phenotype Representation and Analysis via Discriminative Atypicality (PRADA) to Capture the Structural Heterogeneity of Autism Spectrum Disorder
Hierarchical HMM Based Learning of Navigation Primitives for Cooperative Robotic Endovascular Catheterization
Multimodal Dictionary Learning and Joint Sparse Representation for HEp-2 Cell Classification
Unpaired Deep Cross-Modality Synthesis with Fast Training
Dynamic Field Mapping and Motion Correction Using Interleaved Double Spin-Echo Diffusion MRI
Enhancing 3D Medical Vision-Language Models with Slice-Wise Visual Prompt
Hierarchical Symmetric Normalization Registration Using Deformation-Inverse Network
Detecting Patient Motion in Projection Space for Cone-beam Computed Tomography
Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease
Uncertainty Driven Multi-loss Fully Convolutional Networks for Histopathology
Deep Learning Based Framework for Direct Reconstruction of PET Images
Ensemble of LinkNet Networks for Head and Neck Tumor Segmentation
Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology Reporting
Effective Intensity-Based 2D/3D Rigid Registration between Fluoroscopic X-Ray and CT
Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction
Maximum A Posteriori Estimation of Isotropic High-Resolution Volumetric MRI from Orthogonal Thick-Slice Scans
Domain Generalization in Myocardial Pathology Segmentation with MixUp Augmentation
Sparse Patch Based Prostate Segmentation in CT Images
RadIR: A Scalable Framework for Multi-grained Medical Image Retrieval via Radiology Report Mining
Performance Evaluation of Deep Learning and Transformer Models Using Multimodal Data for Breast Cancer Classification
Boosted Exudate Segmentation in Retinal Images Using Residual Nets
Extraction of Landmarks and Features from Virtual Colon Models
More Unlabelled Data or Label More Data? A Study on Semi-supervised Laparoscopic Image Segmentation
Implicit Neural Representations for Medical Imaging Segmentation
ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma Grading
A Deep Learning Design for Improving Topology Coherence in Blood Vessel Segmentation
A Cross-Sectional Piecewise Constant Model for Segmenting Highly Curved Fiber Tracts in Diffusion MR Images
Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-center Dataset
Improving DTI Resolution from a Single Clinical Acquisition: A Statistical Approach Using Spatial Prior
Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest
Thick Slices for Optimal Digital Breast Tomosynthesis Classification With Deep-Learning
Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study
Automated Brain Tumor Segmentation on Magnetic Resonance Images and Patient's Overall Survival Prediction Using Support Vector Machines
An Interactive Approach to Region of Interest Selection in Cytologic Analysis of Uveal Melanoma Based on Unsupervised Clustering
Autism Spectrum Disorders (ASD) Characterization in Children by Decomposing MRI Brain Regions with Zernike Moments
Virtually Extended Surgical Drilling Device: Virtual Mirror for Navigated Spine Surgery
Spatial Modeling of Multiple Sclerosis for Disease Subtype Prediction
FedMLP: Federated Multi-label Medical Image Classification Under Task Heterogeneity
A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multi-shell Diffusion MRI
Vessel Segmentation for Ablation Treatment Planning and Simulation
The Comparison Analysis of the Cervical Features Between Second-and Third-Trimester Pregnancy in Ultrasound Images Using eXplainable AI
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers
Incompressible Cardiac Motion Estimation of the Left Ventricle Using Tagged MR Images
Three-Dimensional Cardiac Motion Estimation Based on Non-rigid Image Registration Using a Novel Transformation Model Adapted to the Heart
Automatic Irregular Texture Detection in Brain MRI Without Human Supervision
Morphological Analysis of Terminal Air Spaces by Means of Micro-CT and Confocal Microscopy and Simulation within a Functional Model of Lung
Parameter Estimation for Personalization of Liver Tumor Radiofrequency Ablation
No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising
Shape-Aware Semi-supervised 3D Semantic Segmentation for Medical Images
Nonrigid 3-D/2-D Registration of Images Using Statistical Models
Using 3D Non Rigid FFD-Based Method to Register post mortem 3D Histological Data and in vivo MRI of a Baboon Brain
Scalable and Fault Tolerant Platform for Distributed Learning on Private Medical Data
Anatomically-Guided Segmentation of Cerebral Microbleeds in T1-Weighted and T2*-Weighted MRI
Tracked Ultrasound Elastography (TrUE)
This Explains That: Congruent Image-Report Generation for Explainable Medical Image Analysis with Cyclic Generative Adversarial Networks
Deep Reinforcement Learning for Vessel Centerline Tracing in Multi-modality 3D Volumes
An Improved MPB-CNN Segmentation Method for Edema Area and Neurosensory Retinal Detachment in SD-OCT Images
Learning Likelihoods for Labeling (L3): A General Multi-Classifier Segmentation Algorithm
Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding
Diverse Multiple Prediction on Neuron Image Reconstruction
Statistical Location Model for Abdominal Organ Localization
Diabetic Foot Ulcer Segmentation Using Convolutional and Transformer-Based Models
Rigid Registration of Untracked Freehand 2D Ultrasound Sweeps to 3D CT of Liver Tumours
Soft Tissue Sarcoma Co-segmentation in Combined MRI and PET/CT Data
Spatially Adaptive Log-Euclidean Polyaffine Registration Based on Sparse Matches
A Comparison of Methods for Recovering Intra-voxel White Matter Fiber Architecture from Clinical Diffusion Imaging Scans
An Analysis of Early Studies Released by the Lung Imaging Database Consortium (LIDC)
Deep Sequential Mosaicking of Fetoscopic Videos
Predictive Intelligence in Medicine - Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
Electron Microscope Image Registration Using Laplacian Sharpening Transformer U-Net
Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction
A Two-Stage Multi-loss Super-Resolution Network for Arterial Spin Labeling Magnetic Resonance Imaging
Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-supervised Learning and Dual-UNet
Personalization of Fast Conduction Purkinje System in Eikonal-Based Electrophysiological Models with Optical Mapping Data
Multi-task Video Enhancement for Dental Interventions
Medical Applications with Disentanglements - First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part V