yusuke1997/dblp-id-title huggingface dataset:
Skull Segmentation from CBCT Images via Voxel-Based Rendering
Discovering Modes of an Image Population through Mixture Modeling
Image-Based Incision Detection for Topological Intraoperative 3D Model Update in Augmented Reality Assisted Laparoscopic Surgery
Cortical Analysis of Heterogeneous Clinical Brain MRI Scans for Large-Scale Neuroimaging Studies
Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications
Learnable Query Initialization for Surgical Instrument Instance Segmentation
Ultrasound Segmentation Using a 2D UNet with Bayesian Volumetric Support
Uncertainty-Based Feature Learning for Skin Lesion Matching Using a High Order MRF Optimization Framework
A 3D+Time Spatio-temporal Model for Joint Segmentation and Registration of Sparse Cardiac Cine MR Image Stacks
Improved Method for Point-Based Tracking
Volumetric Clipping Surface: Un-occluded Visualization of Structures Preserving Depth Cues into Surrounding Organs
Cell Counting by a Location-Aware Network
Deformable Image Registration and Intensity Correction of Cardiac Perfusion MRI
SIMBA: Specific Identity Markers for Bone Age Assessment
Surface/Volume-Based Articulated 3D Spine Inference through Markov Random Fields
Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation
Automatic Segmentation and Components Classification of Optic Pathway Gliomas in MRI
Exploring Pre-training Across Domains for Few-Shot Surgical Skill Assessment
Augmentation-Based Domain Generalization and Joint Training from Multiple Source Domains for Whole Heart Segmentation
An Automatic Cardiac Segmentation Framework Based on Multi-sequence MR Image
An Implicit Inter-subject Shape Driven Image Deformation Model for Prostate Motion Estimation
Hierarchical Part-Based Generative Model for Realistic 3D Blood Vessel
Invisible Shadow for Navigation and Planning in Minimal Invasive Surgery
Self-supervised Longitudinal Neighbourhood Embedding
A Shape Relationship Descriptor for Radiation Therapy Planning
Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound
Perinatal, Preterm and Paediatric Image Analysis - 8th International Workshop, PIPPI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings
Recursive Learning Reinforced by Redefining the Train and Validation Volumes of an Encoder-Decoder Segmentation Model
Knowledge-Based Discrimination in Alzheimer's Disease
A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging
Mining Gold from the Sand: Weakly Supervised Histological Tissue Segmentation with Activation Relocalization and Mutual Learning
User-Aided Boundary Delineation through the Propagation of Implicit Representations
Layer Separation for Vessel Enhancement in Interventional X-ray Angiograms Using Morphological Filtering and Robust PCA
Diffuse Parenchymal Lung Diseases: 3D Automated Detection in MDCT
Learning a Reliable Estimate of the Number of Fiber Directions in Diffusion MRI
Censor-Aware Semi-supervised Learning for Survival Time Prediction from Medical Images
Rule-based Key-Point Extraction for MR-Guided Biomechanical Digital Twins of the Spine
An Investigation of Morphometric Changes in the Lateral Ventricles of Schizophrenic Subjects
Inferring the 3D Standing Spine Posture from 2D Radiographs
Correction of Accidental Patient Motion for Online MR Thermometry
Decoding Brain Functional Connectivity Implicated in AD and MCI
Brain Tumor Segmantation Using Random Forest Trained on Iteratively Selected Patients
Applications of Task-Level Augmentation for Cooperative Fine Manipulation Tasks in Surgery
HARM 3 -Fusion: Hierarchical Attentional Representation Learning of Multi-modal, Multi-temporal, and Multi-sequence Fusion for Pathological Complete Response Prediction of Head and Neck Squamous Cell Carcinoma
TMSS: An End-to-End Transformer-Based Multimodal Network for Segmentation and Survival Prediction
A Coupled Finite Element Model of Tumor Growth and Vascularization
Evaluation of Registration of Ictal SPECT/MRI Data Using Statistical Similarity Methods
Simplified Reeb Graph as Effective Shape Descriptor for the Striatum
Deep Learning-Based Segmentation and Mesh Reconstruction of the Aortic Vessel Tree from CTA Images
Pointing with a One-Eyed Cursor for Supervised Training in Minimally Invasive Robotic Surgery
The Effect of Automated Marker Detection on in Vivo Volumetric Stent Reconstruction
Trajectory Smoothing for Guiding Aortic Valve Delivery with Transapical Access
You Can Detect It: Fetal Biometric Estimation Using Ellipse Detection
Crowdsourced Emphysema Assessment
Towards Dynamic Planning and Guidance of Minimally Invasive Robotic Cardiac Bypass Surgical Procedures
An Automatic Segmentation of Gland Nuclei in Gastric Cancer Based on Local and Contextual Information
Effectiveness of the Finite Impulse Response Model in Content-Based fMRI Image Retrieval
Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation
Quality-Aware Memory Network for Interactive Volumetric Image Segmentation
Non Rigid Registration of 3D Images to Laparoscopic Video for Image Guided Surgery
Estimation of Regional Electrical Properties of the Heart from 12-Lead ECG and Images
Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification
Predicting MGMT Methylation Status of Glioblastomas from MRI Texture
Motion Compensated Abdominal Diffusion Weighted MRI by Simultaneous Image Registration and Model Estimation (SIR-ME)
Head and Neck Gross Tumor Volume Automatic Segmentation Using PocketNet
Geodesic Registration for Cervical Cancer Radiotherapy
Feature-Based Morphometry
Automated Classification for Breast Cancer Histopathology Images: Is Stain Normalization Important?
Segmentation by Adaptive Geodesic Active Contours
SAT-Morph: Unsupervised Deformable Medical Image Registration Using Vision Foundation Models with Anatomically Aware Text Prompt
Uncertainty Inspired Autism Spectrum Disorder Screening
A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: Evaluation on Longitudinal White Matter Tract Changes
Demystifying T1-MRI to FDG 18 -PET Image Translation via Representational Similarity
Optimizing Clearance of Bézier Spline Trajectories for Minimally-Invasive Surgery
How Users Perceive Content-Based Image Retrieval for Identifying Skin Images
Automating Embryo Development Stage Detection in Time-Lapse Imaging with Synergic Loss and Temporal Learning
3D-Morphomics, Morphological Features on CT Scans for Lung Nodule Malignancy Diagnosis
Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography
Groupwise Image Registration with Atlas of Multiple Resolutions Refined at Test Phase
LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms
Introducing Anatomical Constraints in Mitral Annulus Segmentation in Transesophageal Echocardiography
Particle Filters, a Quasi-Monte Carlo Solution for Segmentation of Coronaries
Tessellated Surface Reconstruction from 2D Contours
Ensemble Deep Learning Approaches for Myopic Maculopathy Plus Lesions Segmentation
Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning
Probabilistic Clustering and Shape Modelling of White Matter Fibre Bundles Using Regression Mixtures
Kidney and Kidney Tumor Segmentation Using Spatial and Channel Attention Enhanced U-Net
Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma
Segmentation of 3D Medical Structures Using Robust Ray Propagation
Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection
Simple Biomanipulation Tasks with 'Steady Hand' Cooperative Manipulator
MuST: Multi-scale Transformers for Surgical Phase Recognition
A Multi-resolution CLS Detection Algorithm for Mammographic Image Analysis
The Effect of Labeling Duration and Temporal Resolution on Arterial Transit Time Estimation Accuracy in 4D ASL MRA Datasets - A Flow Phantom Study
Registration of Preoperative CTA and Intraoperative Fluoroscopic images for Assisting Aortic Stent Grafting
Neural Space-Time Modeling for Motion-Corrected MR Reconstruction
Intelligent Virtual B-Scan Mirror (IVBM)
Synthetic Ground Truth Counterfactuals for Comprehensive Evaluation of Causal Generative Models in Medical Imaging
Automatic Detection and Classification of Teeth in CT Data
Parkinson's Disease Detection from Resting State EEG Using Multi-head Graph Structure Learning with Gradient Weighted Graph Attention Explanations
Two Methods for Validating Brain Tissue Classifiers
DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation
3D Deep Neural Network-Based Brain Tumor Segmentation Using Multimodality Magnetic Resonance Sequences
Aggregative Self-supervised Feature Learning from Limited Medical Images
Contrastive Re-localization and History Distillation in Federated CMR Segmentation
ORBSLAM-Based Endoscope Tracking and 3D Reconstruction
Atlas-Guided Transcranial Doppler Ultrasound Examination with a Neuro-Surgical Navigation System: Case Study
Modeling of Intensity Priors for Knowledge-Based Level Set Algorithm in Calvarial Tumors Segmentation
Deidentifying MRI Data Domain by Iterative Backpropagation
Matching Breast Lesions in Multiple Mammographic Views
Calibration and Stereo Tracking of a Laparoscopic Ultrasound Transducer for Augmented Reality in Surgery
Predictive Multimodal Modeling of Diagnoses and Treatments in EHR
Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks
Model-Based Regularisation for Respiratory Motion Estimation with Sparse Features in Image-Guided Interventions
An Augmented Reality Navigation System for Computer Assisted Arthroscopic Surgery of the Knee
Class-Aware Feature Alignment for Domain Adaptative Mitochondria Segmentation
Visual Field Prediction with Missing and Noisy Data Based on Distance-Based Loss
Stochastic Model-Based Left Ventricle Segmentation in 3D Echocardiography Using Fractional Brownian Motion
Simultaneous Geometric - Iconic Registration
Head and Neck Primary Tumor and Lymph Node Auto-segmentation for PET/CT Scans
Reprogramming Distillation for Medical Foundation Models
A New Laparoscope Manipulator with an Optical Zoom
RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation
Pseudo-label Enhanced TransUNet for Robust Landmark Localization in Intrapartum Ultrasound
Optimisation of Arterial Spin Labelling Using Bayesian Experimental Design
SCOPE: Label Extraction of Stroke Diagnosis from Unstructured Medical Reports Using Retrieval-Augmented Generation
End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network
Intracranial Volume Quantification from 3D Photography
Prostate Shape Modeling Based on Principal Geodesic Analysis Bootstrapping
A Multi-modality Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information
Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers
C-TRUS: A Novel Dataset and Initial Benchmark for Colon Wall Segmentation in Transabdominal Ultrasound
Hierarchical Adversarial Connectomic Domain Alignment for Target Brain Graph Prediction and Classification from a Source Graph
Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges - 5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers
Remote Intelligent Assisted Diagnosis System for Hepatic Echinococcosis
MindLink: Subject-Agnostic Cross-Subject Brain Decoding Framework
Exploratory Factor Analysis in Morphometry
Image Segmentation Adapted for Clinical Settings by Combining Pattern Classification and Level Sets
Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs
Prediction of Mandibular ORN Incidence from 3D Radiation Dose Distribution Maps Using Deep Learning
Interactive Catheter Shape Modeling in Interventional Radiology Simulation
Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-Ray Diagnosis
Beyond Intensity Transforms: Medical Image Synthesis Under Large Deformation
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification
A New Dataset and Baseline Model for Rectal Cancer Risk Assessment in Endoscopic Ultrasound Videos
Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features
Landmark-Guided Surface Matching and Volumetric Warping for Improved Prostate Biopsy Targeting and Guidance
Feature Analysis for Parkinson's Disease Detection Based on Transcranial Sonography Image
Longitudinal Multiple Sclerosis Lesion Segmentation Using Multi-view Convolutional Neural Networks
A 3D Inverse Solver for a Multi-species PDE Model of Glioblastoma Growth
QueryNet: A Unified Framework for Accurate Polyp Segmentation and Detection
3D Dilated Multi-fiber Network for Real-Time Brain Tumor Segmentation in MRI
KMUNet: A Novel Medical Image Segmentation Model Based on KAN and Mamba
Thermographic Computational Analyses of a 3D Model of a Scanned Breast
Modeling of Needle-Tissue Interaction Using Ultrasound-Based Motion Estimation
Riemannian Graph Diffusion for DT-MRI Regularization
Medical Image Computing and Computer-Assisted Intervention - MICCAI'98, First International Conference, Cambridge, MA, USA, October 11-13, 1998, Proceedings
Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets
Classification of Retinal Vessels into Artery-Vein in OCT Angiography Guided by Fundus Images
Motion Correction in fMRI by Mapping Slice-to-Volume with Concurrent Field-Inhomogeneity Correction
Brain Wiring Knowledge Graph Reasoning: A Region Embedding Approach for Logical Neuronal Relation Inference
Cortical Reconstruction Using Implicit Surface Evolution: A Landmark Validation Study
Factors Affecting Optical Flow Performance in Tagging Magnetic Resonance Imaging
Modeling Fetal Cortical Expansion Using Graph-Regularized Gompertz Models
Deformable Vertebra 3D/2D Registration from Biplanar X-Rays Using Particle-Based Shape Modelling
Abdominal Organs and Pan-Cancer Segmentation Based on Self-supervised Pre-training and Self-training
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation
Atlas Construction and Image Analysis Using Statistical Cardiac Models
Graph of Brain Structures Grading for Early Detection of Alzheimer's Disease
Prostate Motion Modelling Using Biomechanically-Trained Deep Neural Networks on Unstructured Nodes
Automatic Liver Lesion Segmentation in CT Combining Fully Convolutional Networks and Non-negative Matrix Factorization
Shape Analysis with Overcomplete Spherical Wavelets
R1Seg-3D: Rethinking Reasoning Segmentation for Medical 3D CTs
Latent-Graph Learning for Disease Prediction
Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge
Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation
Statistical Shape Model Segmentation and Frequency Mapping of Cochlear Implant Stimulation Targets in CT
MSDG-StyleNet: Multi-source Unsupervised Domain-Generalized CBCT-to-CT Translation with Style-Consistent Disentangled Representations
Surgical Skill Evaluation by Force Data for Endoscopic Sinus Surgery Training System
Deep Neural Networks for Predicting Recurrence and Survival in Patients with Esophageal Cancer After Surgery
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-center LGE MRIs
Atlas-Based Whole-Body PET-CT Segmentation Using a Passive Contour Distance
Self-Calibrating Ultrasound-to-CT Bone Registration
Determination of the Mechanical Properties of Soft Human Tissues through Aspiration Experiments
Attention-Guided Quality Assessment for Automated Cryo-EM Grid Screening
Separable vs. End-to-End Learning: A Critical Examination of Learning Paradigms
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers
Topology Preservation and Anatomical Feasibility in Random Walker Image Registration
Image-Based Planning and Validation of C1-C2 Transarticular Screw Fixation Using Personalized Drill Guides
A Hamilton-Jacobi-Bellman Approach to High Angular Resolution Diffusion Tractography
Morphology-Guided Prostate MRI Segmentation with Multi-slice Association
SOM2LM: Self-Organized Multi-Modal Longitudinal Maps
Learning without Labeling: Domain Adaptation for Ultrasound Transducer Localization
Multi-modal Brain Connectivity Study Using Deep Collaborative Learning
Tracking by Weakly-Supervised Learning and Graph Optimization for Whole-Embryo C. elegans lineages
Phase-Based Registration of Multi-view Real-Time Three-Dimensional Echocardiographic Sequences
A Hybrid Attention Ensemble Framework for Zonal Prostate Segmentation
GUARDIAN: Guarding Against Uncertainty and Adversarial Risks in Robot-Assisted Surgeries
Functionally Driven Brain Networks Using Multi-layer Graph Clustering
Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features
An Efficient and Robust Algorithm for Parallel Groupwise Registration of Bone Surfaces
Reliability Guided Forward and Backward Patch-Based Method for Multi-atlas Segmentation
Confidence-Guided Sequential Label Fusion for Multi-atlas Based Segmentation
Selective Learning from External Data for CT Image Segmentation
Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance
A Framework for Assessing Joint Human-AI Systems Based on Uncertainty Estimation
Prediction of the Progression of Subcortical Brain Structures in Alzheimer's Disease from Baseline
Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection
S4ND: Single-Shot Single-Scale Lung Nodule Detection
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks
Shape Characterization of the Corpus Callosum in Schizophrenia Using Template Deformation
Deep Learning-Based Detection and Segmentation for BVS Struts in IVOCT Images
Recognizing Surgical Phases Anywhere: Few-Shot Test-Time Adaptation and Task-Graph Guided Refinement
A Parameterization of Deformation Fields for Diffeomorphic Image Registration and Its Application to Myocardial Delineation
Myocardial Edema and Scar Segmentation Using a Coarse-to-Fine Framework with Weighted Ensemble
A High-Order Solution for the Distribution of Target Registration Error in Rigid-Body Point-Based Registration
Domain Adaptation for Medical Image Segmentation Using Transformation-Invariant Self-training
Semi-Supervised and Active Learning for Automatic Segmentation of Crohn's Disease
Discriminative Coronary Artery Tracking via 3D CNN in Cardiac CT Angiography
Cardiac Mechanical Parameter Calibration Based on the Unscented Transform
AcouStick: A Tracked A-Mode Ultrasonography System for Registration in Image-Guided Surgery
Contour Makes it Stronger: Cross-Domain Cephalometric Landmark Detection Based on Contour Priors
A Whole-Brain Reconstruction Approach for FOD Modeling from Multi-Shell Diffusion MRI
Exploring the Relationship Between Segmentation Uncertainty, Segmentation Performance and Inter-observer Variability with Probabilistic Networks
Robust Computation of Mutual Information Using Spatially Adaptive Meshes
Overlooked Trustworthiness of Saliency Maps
SETMIL: Spatial Encoding Transformer-Based Multiple Instance Learning for Pathological Image Analysis
Segmentation of Cells with Partial Occlusion and Part Configuration Constraint Using Evolutionary Computation
Towards Automated Ultrasound Transesophageal Echocardiography and X-Ray Fluoroscopy Fusion Using an Image-Based Co-registration Method
PCA-Skull: 3D Skull Shape Modelling Using Principal Component Analysis
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation
Automatic Plane Adjustment of Orthopedic Intraoperative Flat Panel Detector CT-Volumes
Enhancing Clinical Support for Breast Cancer with Deep Learning Models Using Synthetic Correlated Diffusion Imaging
Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNN
3D Prostate TRUS Segmentation Using Globally Optimized Volume-Preserving Prior
Guideline-Based Machine Learning for Standard Plane Extraction in 3D Cardiac Ultrasound
Empowering Multiple Instance Histopathology Cancer Diagnosis by Cell Graphs
A Hybrid Contrastive Ordinal Regression Method for Advancing Disease Severity Assessment in Imbalanced Medical Datasets
Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound
A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images
SynBT: High-Quality Tumor Synthesis for Breast Tumor Segmentation by 3D Diffusion Model
Registration Using Sparse Free-Form Deformations
Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues
Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of Heart Conditions
MedLoRD: A Medical Low-Resource Diffusion Model for High-Resolution 3D CT Image Synthesis
A Modality-Agnostic Patch-Based Technique for Lesion Filling in Multiple Sclerosis
HU-Based Foreground Masking for 3D Medical Masked Image Modeling
Guiding Quantitative MRI Reconstruction with Phase-Wise Uncertainty
Mean Template for Tensor-Based Morphometry Using Deformation Tensors
A Machine Learning Framework for Accurate Functional Connectome Fingerprinting and an Application of a Siamese Network
Spatio-Temporal Contrast Network for Data-Efficient Learning of Coronary Artery Disease in Coronary CT Angiography
Radial Prediction Domain Adaption Classifier for the MIDOG 2022 Challenge
Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population
MIRST-DM: Multi-instance RST with Drop-Max Layer for Robust Classification of Breast Cancer
Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
Topo-Geometric Filtration Scheme for Geometric Active Contours and Level Sets: Application to Cerebrovascular Segmentation
Fully Automated Blind Color Deconvolution of Histopathological Images
Monte Carlo Concrete DropPath for Epistemic Uncertainty Estimation in Brain Tumor Segmentation
Supervised Diffusion-Model-Based PET Image Reconstruction
SPENet: Self-guided Prototype Enhancement Network for Few-Shot Medical Image Segmentation
mQSM: Multitask Learning-Based Quantitative Susceptibility Mapping for Iron Analysis in Brain
Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VI
Patient Specific Implants (PSI) - Cranioplasty in the Neurosurgical Clinical Routine
Vascular Segmentation in TOF MRA Images of the Brain Using a Deep Convolutional Neural Network
A Feature-Pooling and Signature-Pooling Method for Feature Selection for Quantitative Image Analysis: Application to a Radiomics Model for Survival in Glioma
FUSSNet: Fusing Two Sources of Uncertainty for Semi-supervised Medical Image Segmentation
Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow
Registration-Free Simultaneous Catheter and Environment Modelling