yusuke1997/dblp-id-title huggingface dataset:
Reconstruction of 3D Muscle Fiber Structure Using High Resolution Cryosectioned Volume
Predicting Early Stages of Neurodegenerative Diseases via Multi-task Low-Rank Feature Learning
Proposal of Methodology of a Bipedal Humanoid Gait Generation Based on Cognitive Algorithm
Improving Pathological Distribution Measurements with Bayesian Uncertainty
Distance Measurement in Middle Ear Surgery Using a Telemanipulator
Finite Deformation Guided Nonlinear Filtering for Multiframe Cardiac Motion Analysis
A Generic, Robust and Fully-Automatic Workflow for 3D CT Liver Segmentation
CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images
Frequency-Supervised MR-to-CT Image Synthesis
From Image-Based Modeling to the Modeling of Imaging with the Virtual Population
Graph Embedding to Improve Supervised Classification and Novel Class Detection: Application to Prostate Cancer
Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN Based Generative Adversarial Network
Hierarchical Geodesic Modeling on the Diffusion Orientation Distribution Function for Longitudinal DW-MRI Analysis
Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting
Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition
Probabilistic Tractography Using Q-Ball Modeling and Particle Filtering
Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation
Biomechanically Based Elastic Breast Registration Using Mass Tensor Simulation
Real-Time Nonlinear Finite Element Analysis for Surgical Simulation Using Graphics Processing Units
Non-linear Soft Tissue Deformations for the Simulation of Percutaneous Surgeries
Learning and Combining Image Similarities for Neonatal Brain Population Studies
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs via Bone Edge-Guided GAN
Graph Residual Noise Learner Network for Brain Connectivity Graph Prediction
Quantifying Shape Deformations by Variation of Geometric Spectrum
A Deep Network for Joint Registration and Parcellation of Cortical Surfaces
Sparsity-Based Deconvolution of Low-Dose Perfusion CT Using Learned Dictionaries
Volumetric Deformation Model for Motion Compensation in Radiotherapy
AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation
Dual-Modality Watershed Fusion Network for Thyroid Nodule Classification of Dual-View CEUS Video
Method for 3D-2D Registration of Vascular Images: Application to 3D Contrast Agent Flow Visualization
User Guidance for Point-of-Care Echocardiography Using a Multi-task Deep Neural Network
Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models
SCCA-Ref: Novel Sparse Canonical Correlation Analysis with Reference to Discover Independent Spatial Associations Between White Matter Hyperintensities and Atrophy
Multivariate Statistical Analysis of Deformation Momenta Relating Anatomical Shape to Neuropsychological Measures
Cell Detection with Star-Convex Polygons
Leukocyte Classification Using Multimodal Architecture Enhanced by Knowledge Distillation
Discriminative, Semantic Segmentation of Brain Tissue in MR Images
Gene-to-Image: Decoding Brain Images from Genetics via Latent Diffusion Models
Automatic Classification of Centrilobular Emphysema on CT Using Deep Learning: Comparison with Visual Scoring
A Novel Method for Registration of US/MR of the Liver Based on the Analysis of US Dynamics
Measurement of Intraoperative Brain Surface Deformation Under a Craniotomy
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003, 6th International Conference, Montréal, Canada, November 15-18, 2003, Proceedings, Part I
Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis
A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images
Global Divergences Between Measures: From Hausdorff Distance to Optimal Transport
Incremental Shape Statistics Learning for Prostate Tracking in TRUS
Hybrid Generative Adversarial Networks for Deep MR to CT Synthesis Using Unpaired Data
Simultaneous Parameter Mapping, Modality Synthesis, and Anatomical Labeling of the Brain with MR Fingerprinting
Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks
An Interpretable and Attention-Based Method for Gaze Estimation Using Electroencephalography
The Diffusion Dictionary in the Human Brain Is Short: Rotation Invariant Learning of Basis Functions
Distortion Removal and Deblurring of Single-Shot DWI MRI Scans
Glioma Segmentation with Cascaded UNet
ShareLink: Neuro-Inspired EEG-Based Cross-Subject Emotion Recognition via Shared Bi-hemisphere
CNN Prediction of Future Disease Activity for Multiple Sclerosis Patients from Baseline MRI and Lesion Labels
Cortical Hemisphere Registration Via Large Deformation Diffeomorphic Metric Curve Mapping
Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation
Bias Adjustable Activation Network for Imbalanced Data - Diabetic Foot Ulcer Challenge 2021
Dose Guidance for Radiotherapy-Oriented Deep Learning Segmentation
Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT
Early Prediction of Alzheimer's Disease Progression Using Variational Autoencoders
Occlusion-Free 4D Gaussians for Open Surgery Videos Using Multi-camera Shadowless Lamps
Capturing Shape Information with Multi-scale Topological Loss Terms for 3D Reconstruction
Confidence-Based Out-of-Distribution Detection: A Comparative Study and Analysis
Real Data Augmentation for Medical Image Classification
Using Probability Maps for Multi-organ Automatic Segmentation
Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images
A Novel Image Similarity Measure for Registration of 3-D MR Images and X-Ray Projection Images
Predictive Intelligence in Medicine - 7th International Workshop, PRIME 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
Adaptive Spatio-Temporal Restoration for 4D Fluorescence Microscopic Imaging
Measurement of Pelvic Tilting Angle During Total Hip Arthroplasty Using A Computer Navigation System
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening
A Relation Hashing Network Embedded with Prior Features for Skin Lesion Classification
E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation
How Do Registration Parameters Affect Quantitation of Lung Kinematics?
Estimating 3D Strain from 4D Cine-MRI and Echocardiography: In-Vivo Validation
Deep Learning Based Multimodal Brain Tumor Diagnosis
BI-RADS Classification of Calcification on Mammograms
Building an Ensemble of Complementary Segmentation Methods by Exploiting Probabilistic Estimates
Anatomy-Aware Cardiac Motion Estimation
BrainPrompt: Multi-level Brain Prompt Enhancement for Neurological Condition Identification
Evaluation of the Realism of an MRI Simulator for Stroke Lesion Prediction Using Convolutional Neural Network
Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data
Inter-Operator Variability in Perfusion Assessment of Tumors in MRI Using Automated AIF Detection
Analysis Tool for Diffusion Tensor MRI
Analytic Regularization of Uniform Cubic B-spline Deformation Fields
Fine-Grained Hard-Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset
A Unified Framework for Automated Colon Segmentation
Joint Segmentation of Thalamic Nuclei from a Population of Diffusion Tensor MR Images
Measurement of Brain Structures Based on Statistical and Geometrical 3D Segmentation
A Multi-scale Pyramid of 3D Fully Convolutional Networks for Abdominal Multi-organ Segmentation
Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk
Deformable Model-Based Segmentation of Intervertebral Discs from MR Spine Images by Using the SSC Descriptor
Nonmagnetic Rigid and Flexible Outer Sheath with Pneumatic Interlocking Mechanism for Minimally Invasive Surgical Approach
SpeChrOmics: A Biomarker Characterization Framework for Medical Hyperspectral Imaging
Generation of 4D Access Corridors from Real-Time Multislice MRI for Guiding Transapical Aortic Valvuloplasties
Helical Mode Lung 4D-CT Reconstruction Using Bayesian Model
Quasi-Conformal Technique for Integrating and Validating Myocardial Tissue Characterization in MRI with Ex-Vivo Human Histological Data
Cardiac Motion Estimation Using a ProActive Deformable Model: Evaluation and Sensitivity Analysis
MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - 7th International Workshop, STACOM 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers
A Sobolev Norm Based Distance Measure for HARDI Clustering - A Feasibility Study on Phantom and Real Data
Computer-Aided Detection for Ultra-Low-Dose CT Colonography
The Channel Attention Based Context Encoder Network for Inner Limiting Membrane Detection
Brain Tumour Segmentation Method Based on Supervoxels and Sparse Dictionaries
Active Learning and Proofreading for Delineation of Curvilinear Structures
DyMAS-Net: Dynamic Multi-scale Adaptive Sampling Network for Efficient Medical Image Segmentation
A 2D-3D Registration Framework for Freehand TRUS-Guided Prostate Biopsy
UGFNet: Uncertainty-Guided Graph Neural Network with Frequency-Aware Feature Fusion for Breast Ultrasound Segmentation
Laplacian Shape Editing with Local Patch Based Force Field for Interactive Segmentation
Reduction of Insertion Resistance by Means of Vibration for Catheters and Endoscopes
Hard Sample Mining-Based Tongue Diagnosis for Fatty Liver Disease Severity Classification
Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution
Models for Planning and Simulation in Computer Assisted Orthognatic Surgery
On Fiducial Target Registration Error in the Presence of Anisotropic Noise
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?
Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images Through Recurrent Attention
ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation
Shape-Aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains
MRI Bone Segmentation Using Deformable Models and Shape Priors
Computational Pathology Analysis of Tissue Microarrays Predicts Survival of Renal Clear Cell Carcinoma Patients
Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors
A Convolutional Neural Network Approach to Brain Tumor Segmentation
Ophthalmic Medical Image Analysis - 7th International Workshop, OMIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis
Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks
Slipping Objects in Image Registration: Improved Motion Field Estimation with Direction-Dependent Regularization
Guiding Breast Conservative Surgery by Augmented Reality from Preoperative MRI: Initial System Design and Retrospective Trials
Evaluation of Active Learning Techniques on Medical Image Classification with Unbalanced Data Distributions
EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation
Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging - 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings
Imaging Signature of 1p/19q Co-deletion Status Derived via Machine Learning in Lower Grade Glioma
Deep Active Lesion Segmentation
Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis
SCMIL: Sparse Context-Aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images
Brain Tumor Segmentation Using an Adversarial Network
Ultrasound Variational Style Transfer to Generate Images Beyond the Observed Domain
Fiber-Centered Granger Causality Analysis
Integrative Analysis of Cellular Morphometric Context Reveals Clinically Relevant Signatures in Lower Grade Glioma
WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images
Probabilistic 4D Blood Flow Mapping
Intrinsic Regression Models for Manifold-Valued Data
HyperCMR: Enhanced Multi-contrast CMR Reconstruction with Eagle Loss
Parallel MRI Noise Correction: An Extension of the LMMSE to Non Central χ Distributions
Boundary Finding with Curve Embedding Potential Field
Detecting Wedge Shaped Defects in Polarimetric Images of the Retinal Nerve Fiber Layer
Confident Head Circumference Measurement from Ultrasound with Real-Time Feedback for Sonographers
Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification
Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training
Speech Audio Generation from Dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder
M3D-NCA: Robust 3D Segmentation with Built-In Quality Control
Benchmarking Uncertainty and Its Disentanglement in Multi-label Chest X-Ray Classification
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets
Fiber Orientation Estimation Guided by a Deep Network
3D Shape Analysis for Coarctation of the Aorta
From Anatomic Standardization Analysis of Perfusion SPECT Data to Perfusion Pattern Modelling
Discontinuity Preserving Registration of Abdominal MR Images with Apparent Sliding Organ Motion
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection
Multiple Sclerosis Lesion Segmentation Using an Automatic Multimodal Graph Cuts
Learning with Heterogeneous Data for Longitudinal Studies
Estimating the Motion of the LAD: A Simulation-Based Study
SimTriplet: Simple Triplet Representation Learning with a Single GPU
Tubular Structure-Aware Convolutional Neural Networks for Organ at Risks Segmentation in Cervical Cancer Radiotherapy
AMLP-Conv, a 3D Axial Long-range Interaction Multilayer Perceptron for CNNs
Fully Convolutional Transformer-Based GAN for Cross-Modality CT to PET Image Synthesis
3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology
BundleSeg: A Versatile, Reliable and Reproducible Approach to White Matter Bundle Segmentation
Interactive Computation and Visualization of Structural Connectomes in Real-Time
Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification
Robust Multimodal Dictionary Learning
Validation of Volume-Preserving Non-rigid Registration: Application to Contrast-Enhanced MR-Mammography
Probabilistic Tractography for Topographically Organized Connectomes
Fast Tractography Streamline Search
Simultaneous Tensor and Fiber Registration (STFR) for Diffusion Tensor Images of the Brain
ADASSM: Adversarial Data Augmentation in Statistical Shape Models from Images
Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision
Learning Transferable 3D-CNN for MRI-Based Brain Disorder Classification from Scratch: An Empirical Study
BridgeSplat: Bidirectionally Coupled CT and Non-rigid Gaussian Splatting for Deformable Intraoperative Surgical Navigation
TE-SSL: Time and Event-Aware Self Supervised Learning for Alzheimer's Disease Progression Analysis
A Model Development Pipeline for Crohn's Disease Severity Assessment from Magnetic Resonance Images
Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation
Predictive Intelligence in Medicine - Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Coupled Registration-Segmentation: Application to Femur Analysis with Intra-subject Multiple Levels of Detail MRI Data
A New Visualization Method for Virtual Colonoscopy
An End to End System for Measuring Axon Growth
Navigated Three Dimensional Beta Probe for Optimal Cancer Resection
High-order Connectomic Manifold Learning for Autistic Brain State Identification
Semi-supervised Multilevel Symmetric Image Registration Method for Magnetic Resonance Whole Brain Images
Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space
One-Shot Medical Landmark Detection
Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes
A New Registration/Visualization Paradigm for CT-Fluoroscopy Guided RF Liver Ablation
Deep Learning Segmentation of the Left Ventricle in Structural CMR: Towards a Fully Automatic Multi-scan Analysis
Accurate Myocardial Pathology Segmentation with Residual U-Net
A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images
Augmenting Magnetic Resonance Imaging with Tabular Features for Enhanced and Interpretable Medial Temporal Lobe Atrophy Prediction
Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction
Comparative Evaluation of Hand-Engineered and Deep-Learned Features for Neonatal Hip Bone Segmentation in Ultrasound
An MR-Compatible Virtual Reality System for Assessing Neuronal Plasticity of Sensorimotor Neurons and Mirror Neurons
Comparison of Cardiac Motion Across Subjects Using Non-rigid Registration
Automated Detection of Mediastinal Lymph Nodes for Assistance of Transbronchial Needle Aspiration
Shape Preservation Based on Gaussian Radial Basis Function Interpolation on Human Corpus Callosum
Spatially Aware Cell Cluster(SpACCl) Graphs: Predicting Outcome in Oropharyngeal p16+ Tumors
Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective
Automatic Segmentation of Achilles Tendon Tissues Using Deep Convolutional Neural Network
Double-Uncertainty Weighted Method for Semi-supervised Learning
Joint Statistics on Cardiac Shape and Fiber Architecture
A Spatial-Stiffness Analysis of Fiducial Registration Accuracy
Quantitative Assessment of Thyroid Nodules Through Ultrasound Imaging Analysis
Learning Optical Flow Propagation Strategies Using Random Forests for Fast Segmentation in Dynamic 2D & 3D Echocardiography
Contrast Flow Pattern and Cross-Phase Specificity-Aware Diffusion Model for NCCT-to-Multiphase CECT Synthesis
Adversarially Fine-Tuned Self-supervised Framework for Automated Landmark Detection in Intrapartum Ultrasound
Unsupervised Inline Analysis of Cardiac Perfusion MRI
FEDD - Fair, Efficient, and Diverse Diffusion-Based Lesion Segmentation and Malignancy Classification
Interpreting Latent Spaces of Generative Models for Medical Images Using Unsupervised Methods
Guided Active Learning for Medical Image Segmentation
Deep Probability Contour Framework for Tumour Segmentation and Dose Painting in PET Images
A New Approach to 3D Sulcal Ribbon Finding from MR Images
Feature Selection for SVM-Based Vascular Anomaly Detection
Efficient Deep Learning Models for Evaluating the Progression of Age-Related Macular Degeneration Through Optical Coherence Tomography
Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs
Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation
Cross-Domain Segmentation of Left Atrium Based on Multi-scale Decision Level Fusion
Computational Methods and Clinical Applications in Musculoskeletal Imaging - 6th International Workshop, MSKI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers
Multimarginal Wasserstein Barycenter for Stain Normalization and Augmentation
An Edge Enhanced SRGAN for MRI Super Resolution in Slice-Selection Direction
Integrating Multiple Network Properties for MCI Identification
Quantitative Body DW-MRI Biomarkers Uncertainty Estimation Using Unscented Wild-Bootstrap
Spatial Component Analysis to Mitigate Multiple Testing in Voxel-Based Analysis
Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification
PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation
Exploring the Feasibility of Zero-Shot Super-Resolution in Preclinical Imaging
Graph Laplacian Transformer with Progressive Sampling for Prostate Cancer Grading
Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification
Understanding Clinical Progression of Late-Life Depression to Alzheimer's Disease Over 5 Years with Structural MRI
Multi-object Deformable Templates Dedicated to the Segmentation of Brain Deep Structures
3D TRUS Guided Robot Assisted Prostate Brachytherapy
A Collaborative Virtual Environment for the Simulation of Temporal Bone Surgery
Uncertainty Estimation in Landmark Localization Based on Gaussian Heatmaps
DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image
Portable Virtual Endoscope System with Force and Visual Display for Insertion Training
MultiVT: Multiple-Task Framework for Dentistry
Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis
Towards Automated Multi-regional Lung Parcellation for 0.55-3T 3D T2w Fetal MRI
Multi-sensory Cognitive Computing for Learning Population-Level Brain Connectivity
Robust Early Detection of Barrett's Neoplasia: Addressing Low-Prevalence Challenges with Generative Modeling
CovidDiagnosis: Deep Diagnosis of COVID-19 Patients Using Chest X-Rays
Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition
Multiple Sclerosis Lesion Segmentation Using Dictionary Learning and Sparse Coding
Black-Box Adaptation for Medical Image Segmentation
Delineating 3D Angiogenic Sprouting in OCT Images via Multiple Active Contours
Active Scheduling of Organ Detection and Segmentation in Whole-Body Medical Images
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification
Automatic Segmentation of Abdominal MRI Using Selective Sampling and Random Walker
State-of-the-Art in Brain Tumor Segmentation and Current Challenges
Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification
A Framework for Patient-Specific Physics-Based Simulation and Interactive Visualization of Cardiac Dynamics
Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism
Denoising Diffusion Models for Inpainting of Healthy Brain Tissue
Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes
UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics
Patch-Based Generative Shape Model and MDL Model Selection for Statistical Analysis of Archipelagos
Intra-perinodular Textural Transition (Ipris): A 3D Descriptor for Nodule Diagnosis on Lung CT
Joint Shape Representation and Classification for Detecting PDAC
PathoPainter: Augmenting Histopathology Segmentation via Tumor-Aware Inpainting
Cortical and Subcortical Contributions to Predicting Intelligence Using 3D ConvNets
PIViT: Large Deformation Image Registration with Pyramid-Iterative Vision Transformer
Detecting and Inferring Brain Activation from Functional MRI by Hypothesis-Testing Based on the Likelihood Ratio
Self-supervised Correction Learning for Semi-supervised Biomedical Image Segmentation