yusuke1997/dblp-id-title huggingface dataset:
Goal-Conditioned Reinforcement Learning for Ultrasound Navigation Guidance
Label Noise in Segmentation Networks: Mitigation Must Deal with Bias
Surface-Based Spatial Pyramid Matching of Cortical Regions for Analysis of Cognitive Performance
Projective Latent Interventions for Understanding and Fine-Tuning Classifiers
A Simple Modality-Agnostic Representation for Scoliosis Phenotyping
Cerebral Ventricle Segmentation from 3D Pre-term IVH Neonate MR Images Using Atlas-Based Convex Optimization
A Weakly-Supervised Multi-lesion Segmentation Framework Based on Target-Level Incomplete Annotations
Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR
Multiple Surface Segmentation Using Truncated Convex Priors
H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images
Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery
Stacked and Parallel U-Nets with Multi-output for Myocardial Pathology Segmentation
Detection of Midline Brain Abnormalities Using Convolutional Neural Networks
Predictive Intelligence in Medicine - 4th International Workshop, PRIME 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
End-to-End 3D Tooth Landmark Detection with Fuzzy Tooth Localization
Weakly-Supervised Medical Image Segmentation with Gaze Annotations
TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency
Training State-of-the-Art Pathology Foundation Models with Orders of Magnitude Less Data
Modeling the Variability in Brain Morphology and Lesion Distribution in Multiple Sclerosis by Deep Learning
Revisiting the Evaluation of Segmentation Results: Introducing Confidence Maps
Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification
Multi-cavity Heart Segmentation in Non-contrast Non-ECG Gated CT Scans with F-CNN
Identification of Temporal Transition of Functional States Using Recurrent Neural Networks from Functional MRI
Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration
Tracking the Swimming Motions of C. elegansWorms with Applications in Aging Studies
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment
Retinal Blood Vessel Segmentation Using a Fully Convolutional Network - Transfer Learning from Patch- to Image-Level
Closing the Gap Between Deep and Conventional Image Registration Using Probabilistic Dense Displacement Networks
GM-LDM: Latent Diffusion Guided by Functional Connectivity for Gray-Matter Generation and Biomarker Identification
Compositional Representation Learning for Brain Tumour Segmentation
Use of Pattern-Information Analysis in Vision Science: A Pragmatic Examination
Predicting Fluid Intelligence from Structural MRI Using Random Forest regression
Improving Robustness of Medical Image Diagnosis with Denoising Convolutional Neural Networks
Calibrationless Parallel Dynamic MRI with Joint Temporal Sparsity
Cartilage Segmentation in High-Resolution 3D Micro-CT Images via Uncertainty-Guided Self-training with Very Sparse Annotation
Determining Malignancy of Brain Tumors by Analysis of Vessel Shape
Anatomical Structure-Guided Medical Vision-Language Pre-training
kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation
High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort
Beyond MR Image Harmonization: Resolution Matters Too
Surgical Key Step Recognition with Global-Local Modeling Mamba in Laparoscopic Pulmonary Lobectomy
Exploring Adversarial Examples - Patterns of One-Pixel Attacks
Label Inference with Registration and Patch Priors
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation
BME 2 : A Plug-and-Play Bridge-Based Module for Misalignment Estimation and Elimination in Multi-scan Image Restoration
Mixture of Segmenters with Discriminative Spatial Regularization and Sparse Weight Selection
Multi-tracer Uptake Correction for PET-MR via Aligned-Feature Guidance and Multi-scale Pixel-Adaptive Routing
3D Temporomandibular Joint CBCT Image Segmentation via Multi-directional Resampling Ensemble Learning Network
Prediction of Immune and Stromal Cell Population Abundance from Hepatocellular Carcinoma Whole Slide Images Using Weakly Supervised Learning
Stereoscopic Motion Magnification in Minimally-Invasive Robotic Prostatectomy
Segmentation of 3D Transesophageal Echocardiograms by Multi-cavity Active Shape Model and Gamma Mixture Model
Semi-automatic Reference Standard Construction for Quantitative Evaluation of Lung CT Registration
Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans
Nonrigid Image Registration Using Free-Form Deformations with a Local Rigidity Constraint
Early Detection of Emphysema Progression
Comparison of Local External Force Functions for Non-rigid Registration of 3D Medical Images
Automated Ventricular System Segmentation in CT Images of Deformed Brains Due to Ischemic and Subarachnoid Hemorrhagic Stroke
Privacy Distillation: Reducing Re-identification Risk of Diffusion Models
ABP: Asymmetric Bilateral Prompting for Text-Guided Medical Image Segmentation
LEXU: Learning from Expert Disagreement for Single-Pass Uncertainty Estimation in Medical Image Segmentation
3D CT-Based Coronary Calcium Assessment: A Feature-Driven Machine Learning Framework
Improved Resection Margins in Surgical Oncology Using Intraoperative Mass Spectrometry
Reconstructing Geometrically Consistent Tree Structures from Noisy Images
MR Diffusion-Based Inference of a Fiber Bundle Model from a Population of Subjects
Direct 3D Ultrasound to Video Registration Using Photoacoustic Effect
Estimating Lung Respiratory Motion Using Combined Global and Local Statistical Models
Texture-Based Classification of Significant Stenosis in CCTA Multi-view Images of Coronary Arteries
Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models
Real-Time, Dynamic, and Highly Generalizable Ultrasound Image Simulation-Guided Procedure Training System for Musculoskeletal Minimally Invasive Treatment
Deep Learning Based Method for Left Atrial Segmentation in GE-MRI
Localizing Optic Disc and Cup for Glaucoma Screening via Deep Object Detection Networks
Construction of a Statistical Surgical Plan Atlas for Automated 3D Planning of Femoral Component in Total Hip Arthroplasty
Patient-Specific Hemodynamic Evaluation of an Aortic Coarctation under Rest and Stress Conditions
Med-Former: A Transformer Based Architecture for Medical Image Classification
Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement
Voxel-Level Radiotherapy Dose Prediction Using Densely Connected Network with Dilated Convolutions
CT-Based Brain Ventricle Segmentation via Diffusion Schrödinger Bridge without target domain ground truths
Automated Cone and Vessel Analysis in Adaptive Optics Like Retinal Images for Clinical Diagnostics Support
General Methods Make Great Domain-Specific Foundation Models: A Case-Study on Fetal Ultrasound
A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding
3D Surface Matching and Registration through Shape Images
Conditional Infilling GANs for Data Augmentation in Mammogram Classification
Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI
A Unified Kernel Regression for Diffusion Wavelets on Manifolds Detects Aging-Related Changes in the Amygdala and Hippocampus
Learning Representation for Histopathological Image with Quaternion Grassmann Average Network
A Framework for the Discovery of Retinal Biomarkers in Optical Coherence Tomography Angiography (OCTA)
TCL: Triplet Consistent Learning for Odometry Estimation of Monocular Endoscope
Can LLMs' Tuning Methods Work in Medical Multimodal Domain?
Multi-layer Domain Adaptation for Deep Convolutional Networks
A Novel Method for Cortical Sulcal Fundi Extraction
Simulation of Guide Wire Propagation for Minimally Invasive Vascular Interventions
Brownian Warps: A Least Committed Prior for Non-rigid Registration
Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images
Combined Homogeneous Region Localization and Automated Evaluation of Radiation Dose Dependent Contrast-to-Noise Ratio in Dual Energy Abdominal CT
Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation
Towards Automatic Bone Age Estimation from MRI: Localization of 3D Anatomical Landmarks
Few-Shot, Now for Real: Medical VLMs Adaptation Without Balanced Sets or Validation
Towards Holistic Surgical Scene Understanding
Investigating the Predictive Reproducibility of Federated Graph Neural Networks Using Medical Datasets
7T MRI Synthesization from 3T Acquisitions
Skin Lesion Correspondence Localization in Total Body Photography
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI
Parameter-Free Latent Space Transformer for Zero-Shot Bidirectional Cross-modality Liver Segmentation
Instrument-Splatting: Controllable Photorealistic Reconstruction of Surgical Instruments Using Gaussian Splatting
An Ensemble Neural Network for Multi-label Classification of Electrocardiogram
Multiple Q-Shell ODF Reconstruction in Q-Ball Imaging
Multiscale Graph and Multi-step Cross-Frame Mamba for Myocarditis Lesion Segmentation
Effectiveness of the ROBODOC System during Total Hip Arthroplasty in Preventing Intraoperative Pulmonary Embolism
Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound
Accuracy Validation of Cone-Beam CT Based Registration
Objective PET Lesion Segmentation Using a Spherical Mean Shift Algorithm
Prior Knowledge Driven Multiscale Segmentation of Brain MRI
Graph Convolutional Regression of Cardiac Depolarization from Sparse Endocardial Maps
Segmentation-Free Kidney Localization and Volume Estimation Using Aggregated Orthogonal Decision CNNs
Deep EvoGraphNet Architecture for Time-Dependent Brain Graph Data Synthesis from a Single Timepoint
Retinal Image Quality Classification Using Fine-Tuned CNN
Detection of Micro- to Nano-Sized Particles in Soft Tissue
A Unified Approach to Learning with Label Noise and Unsupervised Confidence Approximation
Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation
Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface
Susceptibility Distortion Correction for Echo Planar Images with Non-uniform B-Spline Grid Sampling: A Diffusion Tensor Image Study
Distributed Modular Computer-Integrated Surgical Robotic Systems: Architecture for Intelligent Object Distribution
Automatic Learning Sparse Correspondences for Initialising Groupwise Registration
FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection
Patch-Based Markov Models for Event Detection in Fluorescence Bioimaging
A Prostate Brachytherapy Training Rehearsal System - Simulation of Deformable Needle Insertion
Segmentation of Echocardiographic Image Sequences Using Spatio-temporal Information
Characterizing Pathological Deviations from Normality Using Constrained Manifold-Learning
A Dictionary Learning-Based Fast Imaging Method for Ultrasound Elastography
SuperPoint Features in Endoscopy
The 4D Hyperspherical Diffusion Wavelet: A New Method for the Detection of Localized Anatomical Variation
An Automated Pipeline for Quantitative T2* Fetal Body MRI and Segmentation at Low Field
Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images
Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification
A Comparison of Simularity Measures for use in 2D-3D Medical Image Registration
Surface-Wise Texture Patch Analysis of Combined MRI and PET to Detect MRI-Negative Focal Cortical Dysplasia
Characterization of Task-Free/Task-Performance Brain States
Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report Generation
Microvascular Retinal Digital Twins from Non-invasive Clinical Images
Scale and Curvature Invariant Ridge Detector for Tortuous and Fragmented Structures
Cross-View Label Transfer in Knee MR Segmentation Using Iterative Context Learning
Revisiting N-CNN for Clinical Practice
Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching
Gamma -Convergence Approximation to Piecewise Smooth Medical Image Segmentation
New Approaches to Estimation of White Matter Connectivity in Diffusion Tensor MRI: Elliptic PDEs and Geodesics in a Tensor-Warped Space
SCALPP: A Safe Methodology to Robotize Skin Harvesting
Imbalance-Aware Self-supervised Learning for 3D Radiomic Representations
Automatic Brain Tumor Segmentation and Overall Survival Prediction Using Machine Learning Algorithms
Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization
Nonparametric Intensity Priors for Level Set Segmentation of Low Contrast Structures
Statistical Surface Recovery: A Study on Ear Canals
BenchReAD: A Systematic Benchmark for Retinal Anomaly Detection
Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance Pooling
Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization
Iteratively Refine the Segmentation of Head and Neck Tumor in FDG-PET and CT Images
Assessing Early Motor System Degeneration in the Spinal Cord of ALS Patients Using Diffusion MRI: An Exploratory Study
Assessment of Intraoperative Brain Deformation Using Interventional MR Imaging
Generalized Step Criterion Edge Detectors for Kalman Filter Based Left Ventricle Tracking in 3D+T Echocardiography
Mapping Tissue Optical Attenuation to Identify Cancer Using Optical Coherence Tomography
Cellular Features Based Interpretable Network for Classifying Cell-Of-Origin from Whole Slide Images for Diffuse Large B-cell Lymphoma Patients
Automatic Semi-supervised Left Atrial Segmentation Using Deep-Supervision 3DResUnet with Pseudo Labeling Approach for LAScarQS 2022 Challenge
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications
HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images
Joint T1 and Brain Fiber Diffeomorphic Registration Using the Demons
Inter-subject Connectivity-Based Parcellation of a Patch of Cerebral Cortex
In vivo Contact EP Data and ex vivo MR-Based Computer Models: Registration and Model-Dependent Errors
Are Fast Labeling Methods Reliable? A Case Study of Computer-Aided Expert Annotations on Microscopy Slides
Motion Tracking and Intensity Surface Recovery in Microscopic Nuclear Images
Polyp-Mamba: Polyp Segmentation with Visual Mamba
VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction
A New Dataset and a Baseline Model for Breast Lesion Detection in Ultrasound Videos
A Finite Element CFD Simulation for Predicting Patient-Specific Hemodynamics of an Aortic Coarctation
Pre-training with Simulated Ultrasound Images for Breast Mass Segmentation and Classification
Simultaneous Segmentation, Kinetic Parameter Estimation, and Uncertainty Visualization of Dynamic PET Images
DIFF·3: A Latent Diffusion Model for the Generation of Synthetic 3D Echocardiographic Images and Corresponding Labels
Design and Implementation of Parallel Nonrigid Image Registration Using Off-the-Shelf Supercomputers
Atlas Propagation Through Template Selection
A 12-Lead ECG Arrhythmia Classification Method Based on 1D Densely Connected CNN
ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data
HybridMamba: A Dual-Domain Mamba for 3D Medical Image Segmentation
Markerless Endoscopic Registration and Referencing
Image-Based PSF Estimation for Ultrasound Training Simulation
HEMIT: H&E to Multiplex-Immunohistochemistry Image Translation with Dual-Branch Pix2pix Generator
RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting
Probabilistic Fiber Tracking Using Particle Filtering
L3DMC: Lifelong Learning Using Distillation via Mixed-Curvature Space
Predicting Nucleus Basalis of Meynert Volume from Compartmental Brain Segmentations
Enhancing Multimodal Image-Based Classification of Alzheimer's Disease with Surface Information
Stable Anatomical Structure Tracking for Video-Bronchoscopy Navigation
Automated Enriched Medical Concept Generation for Chest X-ray Images
Simulation Based Inference for PET Iterative Reconstruction
Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction
3D Ultrasonic Needle Tracking with a 1.5D Transducer Array for Guidance of Fetal Interventions
Planning and Evaluation of Reorienting Osteotomies of the Proximal Femur in Cases of SCFE Using Virtual Three-Dimensional Models
Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks
CL-ADDA: Contrastive Learning with Amplitude-Driven Data Augmentation for fMRI-Based Individualized Predictions
Using Multiple Images and Contours for Deformable 3D-2D Registration of a Preoperative CT in Laparoscopic Liver Surgery
The Importance of Partial Voluming in Multi-dimensional Medical Image Segmentation
Gamma Source Location Learning from Synthetic Multi-pinhole Collimator Data
Perfusion Paths: Inference of Voxelwise Blood Flow Trajectories in CT Perfusion
Is Multi-model Feature Matching Better for Endoscopic Motion Estimation?
Patient-Specific Radiomic Feature Selection with Reconstructed Healthy Persona of Knee MR Images
Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer
Advances in Active Constraints and Their Application to Minimally Invasive Surgery
Tracking and Analysis of Cine-Delayed Enhancement MR
Virtual Reality Vitrectomy Simulator
Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network
PRSNet: Part Relation and Selection Network for Bone Age Assessment
Prediction of Amyloidosis from Neuropsychological and MRI Data for Cost Effective Inclusion of Pre-symptomatic Subjects in Clinical Trials
Structure Specific Atlas Generation and Its Application to Pancreas Segmentation from Contrasted Abdominal CT Volumes
LaB-GATr: Geometric Algebra Transformers for Large Biomedical Surface and Volume Meshes
INR Meets Multi-contrast MRI Reconstruction
Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study
ELK: Enhanced Learning Through Cross-Modal Knowledge Transfer for Lesion Detection in Limited-Sample Contrast-Enhanced Mammography Datasets
Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix Factorization
Symmetric Log-Domain Diffeomorphic Registration: A Demons-Based Approach
Fully Test-Time Adaptation for Image Segmentation
Pericardium Based Model Fusion of CT and Non-contrasted C-arm CT for Visual Guidance in Cardiac Interventions
Deformed2Self: Self-supervised Denoising for Dynamic Medical Imaging
A Learning Based Hierarchical Framework for Automatic Prostate Localization in CT Images
3D U-Net Applied to Simple Attention Module for Head and Neck Tumor Segmentation in PET and CT Images
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative Method
Topological Descriptors of Histology Images
Automatic Extraction of 3D Dynamic Left Ventricle Model from 2D Rotational Angiocardiogram
Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study
Data Engineering in Medical Imaging - First MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence
Geodesic Geometric Mean of Regional Covariance Descriptors as an Image-Level Descriptor for Nuclear Atypia Grading in Breast Histology Images
Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape Reconstruction
Unsupervised Anomaly Detection Using Bayesian Flow Networks: Application to Brain FDG PET in the Context of Alzheimer's Disease
AdvMIM: Adversarial Masked Image Modeling for Semi-supervised Medical Image Segmentation
Fisher Kernel Based Task Boundary Retrieval in Laparoscopic Database with Single Video Query
Application of Synthetic Sinogram Based Low-Dose CT Simulation and Fold-Preserving Electronic Cleansing Technique for CT Colonography
PET Studies of the Effects of ECT on Cerebral Physiology
Reduced-Dose Patient to Baseline CT Rigid Registration in 3D Radon Space
A Novel Fourier Adjacency Transformer for Advanced EEG Emotion Recognition
Combined Model-Based Segmentation and Elastic Registration for Accurate Quantification of the Aortic Arch
Detecting Spatially Consistent Structural Differences in Alzheimer's and Fronto Temporal Dementia Using Deformation Morphometry
Estimation of Cardiac Valve Annuli Motion with Deep Learning
Tensor-Based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI
Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation
Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs
Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos Using Learnable Temporal Difference
The Microstructural Features of the Diffusion-Simulated Connectivity (DiSCo) Dataset
Highly Accurate Segmentation of Brain Tissue and Subcortical Gray Matter from Newborn MRI
Predictive Biomarkers in Melanoma: Detection of BRAF Mutation Using Dermoscopy
CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs
Efficient Precision Control in Object Detection Models for Enhanced and Reliable Ovarian Follicle Counting
Relationship Between Thermography Assessment and Hamstring Isometric Test in Amateur Soccer Players
Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge
Diabetic Foot Ulcer Grand Challenge 2022 Summary
Corpus Callosum Parcellation Methods: What Can Tractography Tell Us About Them?
Physiological Neural Representation for Personalised Tracer Kinetic Parameter Estimation from Dynamic PET
Quantitative Evaluation of Lumbar Disc Herniation Based on MRI Image
X-Node: Self-explanation is All We Need
A Fast-Marching Approach to Cardiac Electrophysiology Simulation for XMR Interventional Imaging
Efficient Large Deformation Registration via Geodesics on a Learned Manifold of Images
A Voxel-Wise, Cascaded Classification Approach to Ischemic Stroke Lesion Segmentation
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
An Automatic Approach for 3-D Facial Shape Change Analysis by Combination of ASM and Morphometric Tools
Test-Time Image-to-Image Translation Ensembling Improves Out-of-Distribution Generalization in Histopathology
Dense Prediction of Cell Centroids Using Tissue Context and Cell Refinement
Neuron Segmentation Using Deep Complete Bipartite Networks
Improving Tuberculosis Recognition on Bone-Suppressed Chest X-Rays Guided by Task-Specific Features
A Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images
DeepGPT-DILI: Integrating Graph Convolutional Networks and Large Language Model Embeddings for Accurate Drug-Induced Liver Injury Prediction
Multi-field of View Aggregation and Context Encoding for Single-Stage Nucleus Recognition
Estimation of Non-negative ODFs Using the Eigenvalue Distribution of Spherical Functions
Precise Lumen Segmentation in Coronary Computed Tomography Angiography
Respiratory Motion Modelling Using cGANs
Patient-Specific Semi-supervised Learning for Postoperative Brain Tumor Segmentation
Local Watershed Operators for Image Segmentation