yusuke1997/dblp-id-title huggingface dataset:
Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Ultrasound Imaging Simulation: Application to the Diagnosis of Deep Venous Thromboses of Lower Limbs
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008, 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part II
Feeling the Stakes: Realism and Ecological Validity in User Research for Computer-Assisted Interventions
Automatic Selection of DBS Target Points Using Multiple Electrophysiological Atlases
Toward Optimal Matching for 3D Reconstruction of Brachytherapy Seeds
Learning to Detect 3D Rectal Tubes in CT Colonography Using a Global Shape Model
Positive-Unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend
Surgical Navigation System with Intuitive Three-Dimensional Display
Cross-Modal Attention for MRI and Ultrasound Volume Registration
A Clinically Motivated 2-Fold Framework for Quantifying and Classifying Immunohistochemically Stained Specimens
Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study
Multi-scale Masked 3-D U-Net for Brain Tumor Segmentation
Towards an Identification of Tumor Growth Parameters from Time Series of Images
Bilateral Regularization in Reproducing Kernel Hilbert Spaces for Discontinuity Preserving Image Registration
Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models
Gender Differences in Cerebral Cortical Folding: Multivariate Complexity-Shape Analysis with Insights into Handling Brain-Volume Differences
DB-SAM: Delving into High Quality Universal Medical Image Segmentation
3D Dental Mesh Segmentation Using Semantics-Based Feature Learning with Graph-Transformer
Automated Estimation of Cardiac Stroke Volumes from Computed Tomography
Echocardiography Segmentation by Quality Translation Using Anatomically Constrained CycleGAN
Multi-organ Segmentation Based on Spatially-Divided Probabilistic Atlas from 3D Abdominal CT Images
Improve Unseen Domain Generalization via Enhanced Local Color Transformation
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks
Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation
Temporal Diffeomorphic Motion Analysis from Echocardiographic Sequences by Using Intensity Transitivity Consistency
Robust Estimation for Brain Tumor Segmentation
Intelligent Interruption Management System to Enhance Safety and Performance in Complex Surgical and Robotic Procedures
A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-Domain Classification
Atlas-Based Segmentation of the Brain for 3-Dimensional Treatment Planning in Children with Infratentorial Ependymoma
Federated Multi-centric Image Segmentation with Uneven Label Distribution
Centerline-Diameters Data Structure for Interactive Segmentation of Tube-Shaped Objects
Merging and Annotating Teeth and Roots from Automated Segmentation of Multimodal Images
Segmentation of Vessels Cluttered with Cells Using a Physics Based Model
Unpaired Multi-site Brain MRI Harmonization with Image Style-Guided Latent Diffusion
I2M2Net: Inter/Intra-modal Feature Masking Self-distillation for Incomplete Multimodal Skin Lesion Diagnosis
D'ARTAGNAN: Counterfactual Video Generation
Interpretable Deep Learning for Surgical Tool Management
Spotlight: Automated Confidence-Based User Guidance for Increasing Efficiency in Interactive 3D Image Segmentation
FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction
Multi-phase Liver-Specific DCE-MRI Translation via A Registration-Guided GAN
Self-supervised Antigen Detection Artificial Intelligence (SANDI)
A Fast Anatomical and Quantitative MRI Fetal Exam at Low Field
Model-Based Super-Resolution of Diffusion MRI
Spatial-Temporal Memory Filtering SAM for Lesion Segmentation in Breast Ultrasound Videos
One Network to Solve Them All: A Sequential Multi-task Joint Learning Network Framework for MR Imaging Pipeline
Fast Acquisition for Diffusion Tensor Tractography
Ophthalmic Medical Image Analysis - 9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
As Easy as 1, 2...4? Uncertainty in Counting Tasks for Medical Imaging
Unbiased Groupwise Registration of White Matter Tractography
Efficacy of Robot-Assisted Hip Stem Implantation. A Radiographic Comparison of Matched-Pair Femurs Prepared Manually and with the Robodoc ® System Using an Anatomic Prosthesis
Robust Segmentation of Nucleus in Histopathology Images via Mask R-CNN
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part III
Size Independent Active Contour Model for Blood Vessel Lumen Quantification in High-Resolution Magnetic Resonance Images
3D Cardiac Deformation from Ultrasound Images
Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization
Transferability-Guided Multi-source Model Adaptation for Medical Image Segmentation
Applications of Medical Artificial Intelligence - First International Workshop, AMAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
Coupled Personalisation of Electrophysiology Models for Simulation of Induced Ischemic Ventricular Tachycardia
3DGPS: A 3D Differentiable-Gaussian-Based Planning Strategy for Liver Tumor Cryoablation
A Non-disruptive Technology for Robust 3D Tool Tracking for Ultrasound-Guided Interventions
RetBench: Which Ophthalmic Foundation Model Performs Best and Why?
Estimating Cortical Surface Motion Using Stereopsis for Brain Deformation Models
Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations
Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer's Disease
Anomaly Guided Generalizable Super-Resolution of Chest X-Ray Images Using Multi-level Information Rendering
Sparse Bayesian Registration
Generation and Application of a Probabilistic Breast Cancer Atlas
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms
Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging
Weakly-Supervised Drug Efficiency Estimation with Confidence Score: Application to COVID-19 Drug Discovery
Discrepancy-Based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images
Multi-resolution DT-MRI Cardiac Tractography
Recent Advances in Point-of-Care Ultrasound Using the ImFusion Suite for Real-Time Image Analysis
Triple-View Feature Learning for Medical Image Segmentation
Fast and Robust Analysis of Dynamic Contrast Enhanced MRI Datasets
DiffDP: Radiotherapy Dose Prediction via a Diffusion Model
Particle Based Shape Regression of Open Surfaces with Applications to Developmental Neuroimaging
Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting
Uncertainty-Guided Self-learning Framework for Semi-supervised Multi-organ Segmentation
Splines for Diffeomorphic Image Regression
Integrated System for Objective Assessment of Global and Regional Lung Structure
Landmark Detection in Cardiac MRI Using Learned Local Image Statistics
Energy-Based Prior Latent Space Diffusion Model for Reconstruction of Lumbar Vertebrae from Thick Slice MRI
Multi-organ Abdominal CT Segmentation Using Hierarchically Weighted Subject-Specific Atlases
Understanding Hemodynamics and Its Determinant Factors in Type B Aortic Dissections Using an Equivalent Lumped Model
Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach
Cardio-Pulmonary Substructure Segmentation of CT Images Using Convolutional Neural Networks
Automated Segmentation of 3D US Prostate Images Using Statistical Texture-Based Matching Method
Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network
3D Catheter Tip Tracking in 2D X-Ray Image Sequences Using a Hidden Markov Model and 3D Rotational Angiography
CAPE: Connectivity-Aware Path Enforcement Loss for Curvilinear Structure Delineation
Automatic Teeth Segmentation in Cephalometric X-Ray Images Using a Coupled Shape Model
Automatic Determination of Hormone Receptor Status in Breast Cancer Using Thermography
Physical-Priors-Guided Aortic Dissection Detection Using Non-Contrast-Enhanced CT Images
Motion Correction for Dynamic Contrast-Enhanced CMR Perfusion Images Using a Consecutive Finite Element Model Warping
A Deep Discontinuity-Preserving Image Registration Network
Measurement of Myelin in the Preterm Brain: Multi-compartment Diffusion Imaging and Multi-component T2 Relaxometry
Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data
Optical Ultrasound Imaging for Endovascular Repair of Abdominal Aortic Aneurysms: A Pilot Study
Spline Based Inhomogeneity Correction for 11 C-PIB PET Segmentation Using Expectation Maximization
Image-Based 3D Planning of Maxillofacial Distraction Procedures Including Soft Tissue Implications
Multifold Bayesian Kernelization in Alzheimer's Diagnosis
Noise2SR: Learning to Denoise from Super-Resolved Single Noisy Fluorescence Image
System to Guide Transcatheter Aortic Valve Implantations Based on Interventional C-Arm CT Imaging
Unified Surface and Volumetric Inference on Functional Imaging Data
Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints
DeCA: A Dense Correspondence Analysis Toolkit for Shape Analysis
Defining Patient Specific Functional Parcellations in Lesional Cohorts via Markov Random Fields
Grading Loss: A Fracture Grade-Based Metric Loss for Vertebral Fracture Detection
Epitomized Summarization of Wireless Capsule Endoscopic Videos for Efficient Visualization
EczemaNet: Automating Detection and Severity Assessment of Atopic Dermatitis
A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction
Real-Time Tools for Freehand 3D Ultrasound
Pelvic Fracture Reduction Planning Based on Morphable Models and Structural Constraints
Semi-supervised Medical Image Classification with Temporal Knowledge-Aware Regularization
Whole-Heart Reconstruction with Explicit Topology Integrated Learning
Real-Time 3D Reconstruction of Colonoscopic Surfaces for Determining Missing Regions
Adaptive Feature Recombination and Recalibration for Semantic Segmentation: Application to Brain Tumor Segmentation in MRI
Estimated Time to Surgical Procedure Completion: An Exploration of Video Analysis Methods
Globally Optimal Label Fusion with Shape Priors
Scribble-Based 3D Multiple Abdominal Organ Segmentation via Triple-Branch Multi-Dilated Network with Pixel- and Class-Wise Consistency
Bi-directional Synthesis of Pre- and Post-contrast MRI via Guided Feature Disentanglement
Exploring Chemotherapy-Induced Cardiotoxicity Combining A 3D Computational Model and Preclinical Cardiac Imaging Data
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation
Lung Nodule Synthesis Using CNN-Based Latent Data Representation
Robust Generalized Total Least Squares Iterative Closest Point Registration
Machine Learning in Medical Imaging - 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
A Locally Linear Method for Enforcing Temporal Smoothness in Serial Image Registration
Do Pre-processing and Augmentation Help Explainability? A Multi-seed Analysis for Brain Age Estimation
Real-Time Modeling of Vascular Flow for Angiography Simulation
EndoDAV: Depth Any Video in Endoscopy with Spatiotemporal Accuracy
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation
Learning Based Non-rigid Multi-modal Image Registration Using Kullback-Leibler Divergence
Multi-Head Multi-Loss Model Calibration
A Geometry-Constrained Deformable Attention Network for Aortic Segmentation
Deep Learning Meets Computational Fluid Dynamics to Assess CAD in CCTA
Registration Accuracy: How Good Is Good Enough? A Statistical Power Calculation Incorporating Image Registration Uncertainty
Privacy-Preserving Federated Brain Tumour Segmentation
Head and Neck Tumor Segmentation on MRIs with Fast and Resource-Efficient Staged nnU-Nets
Longitudinal Detection of Diabetic Retinopathy Early Severity Grade Changes Using Deep Learning
HF-Fed: Hierarchical Based Customized Federated Learning Framework for X-Ray Imaging
Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies
Contact Force Prediction for a Robotic Transesophageal Ultrasound Probe via Operating Torque Sensing
Joint Optimization of a β-VAE for ECG Task-Specific Feature Extraction
Adaptive Noise Filtering for Accurate and Precise Diffusion Estimation in Fiber Crossings
Wavelet-based Semi-supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI
Temporal Neural Cellular Automata: Application to Modeling of Contrast Enhancement in Breast MRI
Accurate Correspondence of Cone Photoreceptor Neurons in the Human Eye Using Graph Matching Applied to Longitudinal Adaptive Optics Images
Hallucination Index: An Image Quality Metric for Generative Reconstruction Models
Improving Aleatoric Uncertainty Quantification in Multi-annotated Medical Image Segmentation with Normalizing Flows
TransBridge: A Lightweight Transformer for Left Ventricle Segmentation in Echocardiography
Quest for Clone: Test-Time Domain Adaptation for Medical Image Segmentation by Searching the Closest Clone in Latent Space
Personalized dMRI Harmonization on Cortical Surface
Tetrahedral Mesh Modeling of Density Data for Anatomical Atlases and Intensity-Based Registration
In-utero Three Dimension High Resolution Fetal Brain Diffusion Tensor Imaging
Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma
Surface-Based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019
Fetal Skull Segmentation in 3D Ultrasound via Structured Geodesic Random Forest
Geodesic Logistic Analysis of Lumbar Spine Intervertebral Disc Shapes in Supine and Standing Positions
Learning-Based Detection of MYCN Amplification in Clinical Neuroblastoma Patients: A Pilot Study
Multimodal Progression-Aware Chest X-Ray Image Generation via Controllable Latent Diffusion Model
Differentiable Deconvolution for Improved Stroke Perfusion Analysis
Control of Articulated Snake Robot under Dynamic Active Constraints
BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers and Associated Pathological Processes
Learning from Multiple Experts with Random Forests: Application to the Segmentation of the Midbrain in 3D Ultrasound
Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph
Automated Estimation of Aortic Intima-Media Thickness from Fetal Ultrasound
Advanced Multi-objective Design Analysis to Identify Ideal Stent Design
White Matter Tract Clustering and Correspondence in Populations
Self-supervised Medical Out-of-Distribution Using U-Net Vision Transformers
A Unifying Approach to Registration, Segmentation, and Intensity Correction
Learning Mechanistic Subtypes of Neurodegeneration with a Physics-Informed Variational Autoencoder Mixture Model
MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces
Synthesizing Accurate and Realistic T1-Weighted Contrast-Enhanced MR Images Using Posterior-Mean Rectified Flow
Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning
LesionBrain: An Online Tool for White Matter Lesion Segmentation
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation
Simulating Inter-observer Variability Across Clinical Experience Levels for Brain Tumour Segmentation
Qualitative Criteria for Feasible Cranial Implant Designs
Towards Subject and Diagnostic Identifiability in the Alzheimer's Disease Spectrum Based on Functional Connectomes
Joint Data Imputation and Mechanistic Modelling for Simulating Heart-Brain Interactions in Incomplete Datasets
Evaluation of 4D-CT Lung Registration
Myocardial Contractility and Regional Work throughout the Cardiac Cycle Using FEM and MRI
CorticalFlow ++ : Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability
Capture the Devil in the Details via Partition-then-Ensemble on Higher Resolution Images
Multi-task Semi-supervised Learning for Vascular Network Segmentation and Renal Cell Carcinoma Classification
Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer's Disease
Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classification
Anatomically and Clinically Informed Deep Generative Model for Breast Surgery Outcome Prediction
Motion-Based Segmentation for Cardiomyocyte Characterization
Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature Extraction
Contrastive Feature Decoupling for Weakly-Supervised Disease Detection
Lesion-Aware Visual-Language Fusion for Automated Image Captioning of Ulcerative Colitis Endoscopic Examinations
Registration of Free-Breathing Abdominal 3D Contrast-Enhanced CT
Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization
Similarity Steered Generative Adversarial Network and Adaptive Transfer Learning for Malignancy Characterization of Hepatocellualr Carcinoma
3D Reconstruction from Projection Matrices in a C-Arm Based 3D-Angiography System
Machine Learning for Medical Image Reconstruction - First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos
Enhancing Community Vision Screening: AI-Driven Retinal Photography for Early Disease Detection and Patient Trust
GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy
Reconstruction of Subcortical Brain Activity by Spatially Filtered MEG During Epileptic Seizures
Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift
Coarse to Fine Segmentation Method Enables Accurate and Efficient Segmentation of Organs and Tumor in Abdominal CT
Spectral Clustering as a Diagnostic Tool in Cross-Sectional MR Studies: An Application to Mild Dementia
Real-Time 3D Reconstruction of Human Vocal Folds via High-Speed Laser-Endoscopy
Bayesian Joint Detection-Estimation of Cerebral Vasoreactivity from ASL fMRI Data
VideoCutMix: Temporal Segmentation of Surgical Videos in Scarce Data Scenarios
Image Registration by Maximization of Combined Mututal Information and Gradient Information
A New Tool for Surgical Training in Knee Arthroscopy
Hierarchical Conditional Random Fields for Myocardium Infarction Detection
Domain Specific Convolution and High Frequency Reconstruction Based Unsupervised Domain Adaptation for Medical Image Segmentation
Free Lunch for Surgical Video Understanding by Distilling Self-supervisions
Spatio-temporal Regularization for Longitudinal Registration to an Unbiased 3D Individual Template
Cranial Implant Design via Virtual Craniectomy with Shape Priors
A Novel Laser Guidance System for Alignment of Linear Surgical Tools: Its Principles and Performance Evaluation as a Man-Machine System
A Fully Automated Framework for Renal Cortex Segmentation
A Deformable Vessel Model with Single Point Initialization for Segmentation, Quantification and Visualization of Blood Vessels in 3D MRA
Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson's Disease Diagnosis
A Training-Free Approach for 3D Reconstruction from Monocular Sinus Endoscopy
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
StereoDiffusion: Temporally Consistent Stereo Depth Estimation with Diffusion Models
Detection of Wrist Fractures in X-Ray Images
Spherical Navigator Echoes for Full 3-D Rigid Body Motion Measurement in MRI
Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation
IMREPET: Implicit Neural Representation for Unsupervised Dynamic PET Reconstruction
A Novel White Matter Fibre Tracking Algorithm Using Probabilistic Tractography and Average Curves
A Stochastic Quasi-Newton Method for Non-Rigid Image Registration
Self-supervised Learning and Data Diversity Based Prediction of Spherical Equivalent
Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network
PASO: A Multipurpose Porcine Anterior Segment Dataset Featuring Spectral and Reconstructed OCT Volume Scans and Surgical Instrument Segmentation Masks
BioVFM-21M: Benchmarking and Scaling Self-supervised Vision Foundation Models for Biomedical Image Analysis
Lung Registration with Improved Fissure Alignment by Integration of Pulmonary Lobe Segmentation
Uncertainty-Informed Detection of Epileptogenic Brain Malformations Using Bayesian Neural Networks
MultiTransAD: Cross-Sequence Translation-Driven Anomaly Detection in Multi-sequence Brain MRI
U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography
Construction of a 4D Statistical Atlas of the Cardiac Anatomy and Its Use in Classification
SEDA: Self-ensembling ViT with Defensive Distillation and Adversarial Training for Robust Chest X-Rays Classification
Non-rigid Registration with Missing Correspondences in Preoperative and Postresection Brain Images
Implicit Active Shape Models for 3D Segmentation in MR Imaging
Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image
Self-supervised Learning with Adaptive Graph Structure and Function Representation for Cross-Dataset Brain Disorder Diagnosis
Enhancing Cell Detection in Histopathology Images: A ViT-Based U-Net Approach
Learned Full-Sampling Reconstruction
Mutual Scale
Self-supervised Contrastive Graph Views for Learning Neuron-Level Circuit Network
3D Shape Analysis of Scoliosis
Robust Myelin Quantitative Imaging from Multi-echo T2 MRI Using Edge Preserving Spatial Priors
Parallel Optimization Approaches for Medical Image Registration
Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores Using Graph Neural Networks and Meta-learning
Beyond Manual Annotation: A Human-AI Collaborative Framework for Medical Image Segmentation Using Only "Better or Worse" Expert Feedback
BigBrain: Automated Cortical Parcellation and Comparison with Existing Brain Atlases
Cross-domain Medical Image Translation by Shared Latent Gaussian Mixture Model
Fast Background Removal Method for 3D Multi-channel Deep Tissue Fluorescence Imaging
Transfer Learning with a Layer Dependent Regularization for Medical Image Segmentation
Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 - 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part I
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation
PIMMS: Permutation Invariant Multi-modal Segmentation
Pancreatic Vessel Landmark Detection in CT Angiography Using Prior Anatomical Knowledge
BUNET: Blind Medical Image Segmentation Based on Secure UNET
Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery
A Fast Approach to Automatic Detection of Brain Lesions
Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?
Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images
Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification