yusuke1997/dblp-id-title huggingface dataset:
Needle Insertion in CT Scanner with Image Overlay - Cadaver Studies
Automated Selection of Standardized Planes from Ultrasound Volume
Temporal Coherence-based Self-supervised Learning for Laparoscopic Workflow Analysis
Image-Conditioned Diffusion Models for Medical Anomaly Detection
Large-Scale Unbiased Neuroimage Indexing via 3D GPU-SIFT Filtering and Keypoint Masking
Visualizing Convolutional Networks for MRI-Based Diagnosis of Alzheimer's Disease
Motion Analysis of the Right Ventricle From MRI Images
ECG Report Generation with Diagnostic Knowledge Enhanced Prompt Learning
DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning
On the Uncertain Single-View Depths in Colonoscopies
Fast Anatomical Structure Localization Using Top-Down Image Patch Regression
OCRNet for Diabetic Foot Ulcer Segmentation Combined with Edge Loss
Learning to Segment: Training Hierarchical Segmentation under a Topological Loss
Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains
3D Deep Convolutional Neural Network-Based Ventilated Lung Segmentation Using Multi-nuclear Hyperpolarized Gas MRI
Learning to Predict Error for MRI Reconstruction
A Framework for ODF Inference by Using Fiber Tract Adaptive MPG Selection
Unsupervised Anomaly Localization Using Variational Auto-Encoders
Semi-supervised Multi-task Learning with Chest X-Ray Images
ECG-ATK-GAN: Robustness Against Adversarial Attacks on ECGs Using Conditional Generative Adversarial Networks
Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions
Interpretable Identification of Interstitial Lung Disease (ILD) Associated Findings from CT
Left-Ventricle Quantification Using Residual U-Net
DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities
UNeXt: MLP-Based Rapid Medical Image Segmentation Network
Morphology-Guided Graph Search for Untangling Objects: C. elegans Analysis
Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine
Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data - MICCAI 2024 Challenges: ToothFairy 2024, 3DTeethLand 2024, and STS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
Deep Learning Based Minimum Variance Beamforming for Ultrasound Imaging
A Survey of Mathematical Structures for Extending 2D Neurogeometry to 3D Image Processing
R-PLUS: A Riemannian Anisotropic Edge Detection Scheme for Vascular Segmentation
Few-Shot Domain Adaptation with Polymorphic Transformers
Automatic Brain Tumor Segmentation with Contour Aware Residual Network and Adversarial Training
Identifying Personalized Autism Related Impairments Using Resting Functional MRI and ADOS Reports
Estimating Local Surface Complexity Maps Using Spherical Harmonic Reconstructions
Learning Tensor-Based Features for Whole-Brain fMRI Classification
M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography
Multi-modal Brain Tensor Factorization: Preliminary Results with AD Patients
A Diffusion Model Embedded WCSAU-Net for 3D MRI Brain Tumor Segmentation
Pairing-based Ensemble Classifier Learning using Convolutional Brain Multiplexes and Multi-view Brain Networks for Early Dementia Diagnosis
Predictive Intelligence in Medicine - 8th International Workshop, PRIME 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings
Automatic IVUS Segmentation of Atherosclerotic Plaque with Stop & Go Snake
Fast and Robust Semi-automatic Liver Segmentation with Haptic Interaction
Scale-Adaptive Forest Training via an Efficient Feature Sampling Scheme
Characterizing the Features of Mitotic Figures Using a Conditional Diffusion Probabilistic Model
A Modular Deep-Learning Pipeline for Automated Aorta Characterization on CT
CA-Net: Leveraging Contextual Features for Lung Cancer Prediction
Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification
Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis
Interactive Endoscopy: A Next-Generation, Streamlined User Interface for Lung Surgery Navigation
FedBC: Privacy-Preserving Breast Cancer Diagnosis from Ultrasound Images Using Federated Learning
Inter-domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning
Spontaneous Preterm Birth Prediction Using Convolutional Neural Networks
Automated Surgical Activity Recognition with One Labeled Sequence
Atlas-based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks
Pathology Report Generation and Multimodal Representation Learning for Cutaneous Melanocytic Lesions
Bridging Knowledge Discrepancy in Retinal Image Analysis Through Federated Multi-task Learning
GMAT: Grounded Multi-agent Clinical Description Generation for Text Encoder in Vision-Language MIL for Whole Slide Image Classification
Adaptive Context Selection for Polyp Segmentation
Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNN
LV Motion and Strain Computation from tMRI Based on Meshless Deformable Models
Nonparametric Aggregation of Geodesic Trends for Longitudinal Data Analysis
Online Reflective Learning for Robust Medical Image Segmentation
BiSCoT: Behavior-Informed Subgroup-Consistent Connectome Template for Interpretable Brain Network Analysis
Revealing Hidden Potentials of the q-Space Signal in Breast Cancer
Noisy Student-Based Self-training Enhances Landmark Detection in Intrapartum Ultrasound
Fully Automatic and Real-Time Catheter Segmentation in X-Ray Fluoroscopy
ToothInstanceNet: Comprehensive Information from Intra-oral Scans by Integration of Large-Context and High-Resolution Predictions
Whole Image Synthesis Using a Deep Encoder-Decoder Network
Partial Volume Estimation in Brain MRI Revisited
Speckle Noise Removal in Ultrasound Images Using a Deep Convolutional Neural Network and a Specially Designed Loss Function
Backdoor Attack is a Devil in Federated GAN-Based Medical Image Synthesis
Soft-Split Random Forest for Anatomy Labeling
3D Prostate Surface Detection from Ultrasound Images Based on Level Set Method
Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis
Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation
Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder
Midbrain Segmentation in Transcranial 3D Ultrasound for Parkinson Diagnosis
Learning Self-calibrated Optic Disc and Cup Segmentation from Multi-rater Annotations
Magnetic Resonance Guided Radiofrequency Ablation: Creation and Visualization of Cardiac Lesions
TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-Rays
Tumor Segmentation with Heterogeneity Clustering in Non-Contrast Breast MRI
3D Convolutional Neural Networks for Dynamic Breast Infrared Imaging Classification
Generation of Amyloid PET Images via Conditional Adversarial Training for Predicting Progression to Alzheimer's Disease
DiMix: Disentangle-and-Mix Based Domain Generalizable Medical Image Segmentation
Joint Model-Pixel Segmentation with Pose-Invariant Deformable Graph-Priors
Domain Adaptation for Unsupervised Cancer Detection: An Application for Skin Whole Slides Images from an Interhospital Dataset
Prototypical Models for Classifying High-Risk Atypical Breast Lesions
Multi-class Gradient Harmonized Dice Loss with Application to Knee MR Image Segmentation
Rotor Core Projection Ablation (RCPA): Novel Computational Approach to Catheter Ablation Therapy for Atrial Fibrillation
Boundary-Aware Network for Kidney Tumor Segmentation
Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites
Deep Cascaded Attention Network for Multi-task Brain Tumor Segmentation
DRGen: Domain Generalization in Diabetic Retinopathy Classification
Optimizing Multi-expert Consensus for Classification and Precise Localization of Barrett's Neoplasia
MRI-Based Heart and Torso Personalization for Computer Modeling and Simulation of Cardiac Electrophysiology
The Correlation Ratio as a New Similarity Measure for Multimodal Image Registration
MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts
Constructing Multi-scale Connectome Atlas by Learning Graph Laplacian of Common Network
Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties
Label Efficient Localization of Fetal Brain Biometry Planes in Ultrasound Through Metric Learning
Multivariate Statistics for Detection of MS Activity in Serial Multimodal MR Images
Self-supervised Single-Image Deconvolution with Siamese Neural Networks
Adaptively Constrained Convex Optimization for Accurate Fiber Orientation Estimation with High Order Spherical Harmonics
Convexity and Connectivity Principles Applied for Left Ventricle Segmentation and Quantification
Structural Connectivity Enriched Functional Brain Network Using Simplex Regression with GraphNet
GAMing the Brain: Investigating the Cross-Modal Relationships Between Functional Connectivity and Structural Features Using Generalized Additive Models
Calibration of Video Cameras to the Coordinate System of a Radiation Therapy Treatment Machine
Conditional Domain Adaptation Based on Initial Distribution Discrepancy for EEG Emotion Recognition
Physics-Informed Deep Learning for Improved Input Function Estimation in Motion-Blurred Dynamic [ 18 F]FDG PET Images
Hybrid Formulation of the Model-Based Non-rigid Registration Problem to Improve Accuracy and Robustness
Robust Alignment of the Human Embryo in 3D Ultrasound Using PCA and an Ensemble of Heuristic, Atlas-Based and Learning-Based Classifiers Evaluated on the Rotterdam Periconceptional Cohort
From Unilateral to Bilateral Learning: Detecting Mammogram Masses with Contrasted Bilateral Network
Longitudinal Analysis of Brain Recovery after Mild Traumatic Brain Injury Based on Groupwise Consistent Brain Network Clusters
Construction of 3D Shape Models of Femoral Articular Cartilage Using Harmonic Maps
IMG-GCN: Interpretable Modularity-Guided Structure-Function Interactions Learning for Brain Cognition and Disorder Analysis
Intra-operative Forecasting of Growth Modulation Spine Surgery Outcomes with Spatio-Temporal Dynamic Networks
Keypoint Matching for Instrument-Free 3D Registration in Video-Based Surgical Navigation
Tubular Anatomy-Aware 3D Semantically Conditioned Image Synthesis
Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework
Automated Analysis of Multi Site MRI Phantom Data for the NIHPD Project
Synthetic Patches, Real Images: Screening for Centrosome Aberrations in EM Images of Human Cancer Cells
Novel Stochastic Framework for Accurate Segmentation of Prostate in Dynamic Contrast Enhanced MRI
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis
Endoscope Manipulator for Trans-nasal Neurosurgery, Optimized for and Compatible to Vertical Field Open MRI
Instrument Tracking via Online Learning in Retinal Microsurgery
Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyps
A Fuzzy Region-Based Hidden Markov Model for Partial-Volume Classification in Brain MRI
A Computer Model of Soft Tissue Interaction with a Surgical Aspirator
Quantification of Emphysema Severity by Histogram Analysis of CT Scans
Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis
A Novel Algorithm for Heart Motion Analysis Based on Geometric Constraints
Hybrid Segmentation Framework for Tissue Images Containing Gene Expression Data
Computational Mathematics Modeling in Cancer Analysis - Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
Bone Adaptation as Level Set Motion
Automatic Couinaud Segmentation from CT Volumes on Liver Using GLC-UNet
Endo3D: Online Workflow Analysis for Endoscopic Surgeries Based on 3D CNN and LSTM
Robust Automated White Matter Pathway Reconstruction for Large Studies
INSightR-Net: Interpretable Neural Network for Regression Using Similarity-Based Comparisons to Prototypical Examples
CoReEcho: Continuous Representation Learning for 2D+Time Echocardiography Analysis
Domain-Specific Cycle-GAN Augmentation Improves Domain Generalizability for Mitosis Detection
ADAgent: LLM Agent for Alzheimer's Disease Analysis with Collaborative Coordinator
Modeling and Analysis Brain Development via Discriminative Dictionary Learning
Automatic 3D Segmentation of Intravascular Ultrasound Images Using Region and Contour Information
Measuring Global and Local Spatial Correspondence Using Information Theory
The Skull Stripping Problem in MRI Solved by a Single 3D Watershed Transform
A Dynamic Brain Atlas
Registration, Matching, and Data Fusion in 2D/3D Medical Imaging: Application to DSA and MRA
Aggregated Distance Metric Learning (ADM) for Image Classification in Presence of Limited Training Data
Understanding the Mechanisms of Deep Transfer Learning for Medical Images
Reconstruction, Segmentation, and Analysis of Medical Images - First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers
Virtual 2D-3D Fracture Reduction with Bone Length Recovery Using Statistical Shape Models
Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector
Histopathology Image Classification Using Deep Manifold Contrastive Learning
Spatial Transcriptomics Analysis of Zero-Shot Gene Expression Prediction
Unsupervised 3-D Feature Learning for Mild Traumatic Brain Injury
Glaucoma Progression Detection and Humphrey Visual Field Prediction Using Discriminative and Generative Vision Transformers
Multi-stage Segmentation of Diabetic Foot Ulcers Using Self-supervised Learning
Feasibility of Single-Input Tracer Kinetic Modeling with Continuous-Time Formalism in Liver 4-Phase Dynamic Contrast-Enhanced CT
FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling
Robust Vertebra Identification Using Simultaneous Node and Edge Predicting Graph Neural Networks
Differentiable Soft Morphological Filters for Medical Image Segmentation
Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions - International Workshop, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 22, 2011. Proceedings
An Efficient Tracker for Thyroid Nodule Detection and Tracking During Ultrasound Screening
MetaRegNet: Metamorphic Image Registration Using Flow-Driven Residual Networks
Constructing Patient Specific Models for Correcting Intraoperative Brain Deformation
Consecutive-Contrastive Spherical U-Net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-Duration fMRI Scans
Local Probabilistic Atlases and a Posteriori Correction for the Segmentation of Heart Images
Uncertainty in White Matter Fiber Tractography
A Stochastic Iterative Closest Point Algorithm (stochastICP)
Investigating Transformer Encoding Techniques to Improve Data-Driven Volume-to-Surface Liver Registration for Image-Guided Navigation
A Hybrid CNN-Transformer Feature Pyramid Network for Granular Abdominal Aortic Calcification Detection from DXA Images
MorphoBoost: Morphology-Driven Boundary Enhancement Model for Accurate Segmentation of Langerhans Cells in Corneal Confocal Microscopy Images
Facing Annotation Redundancy: OCT Layer Segmentation with only 10 Annotated Pixels per Layer
Exploring CNN and Transformer Architectures for Multi-class Bi-Atrial Segmentation from Late Gadolinium-Enhanced MRI
Various Attention Mechanism Graph Convolutional Network with Multi-source Domain Adaptation for Cross-Subject EEG Emotion Recognition
Camera Adaptation for Fundus-Image-Based CVD Risk Estimation
Hydranet: Data Augmentation for Regression Neural Networks
Trust Your Neighbours: Penalty-Based Constraints for Model Calibration
Using Multiscale Visual Words for Lung Texture Classification and Retrieval
Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer
A Hierarchical Convolutional Neural Network for Mitosis Detection in Phase-Contrast Microscopy Images
Level Set Based Surface Capturing in 3D Medical Images
Magnetic Resonance Spectroscopy Quantification Using Deep Learning
A Statistical Model of Respiratory Motion and Deformation of the Liver
Automatic Segmentation of the Placenta in BOLD MRI Time Series
Learning Camera Pose from Optical Colonoscopy Frames Through Deep Convolutional Neural Network (CNN)
Joint Thrombus and Vessel Segmentation Using Dynamic Texture Likelihoods and Shape Prior
A Prospective Dual-Modality Tool for Monitoring Uterine Peristalsis: Integrating Dynamic MRI and Electrohysterography
Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance
Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation
Adapting Pre-trained Generative Model to Medical Image for Data Augmentation
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization
Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression
Variational Shape Completion for Virtual Planning of Jaw Reconstructive Surgery
Visibility Map: A New Method in Evaluation Quality of Optical Colonoscopy
Automated Grading of Modic Changes Using CNNs - Improving the Performance with Mixup
Guided Augmentation for Monocular Depth Estimation in Cell Microscopy
Illustrative Visualization of Vascular Models for Static 2D Representations
Co-registration of Histological, Optical and MR Data of the Human Brain
GAJA - Guided self-Acquisition of Joint ultrAsound images
Quantification of Transvalvular Flow through Composite Gaussian Surfaces from Temporally Interleaved Multi-view 3D Colour Doppler Images
A Web-Based Telepathology Framework for Collaborative Work of Pathologists to Support Teaching and Research in Latin America
Enhancing Local Context of Histology Features in Vision Transformers
LesionDiffusion: Towards Text-Controlled General Lesion Synthesis
A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-supervised Features
Joint EM Image Denoising and Segmentation with Instance-Aware Interaction
Combine Synergetic Approach with Multi-scale Feature Fusion for Boosting Abdominal Multi-organ and Pan-Cancer Segmentation
A Discriminative Distance Learning-Based CBIR Framework for Characterization of Indeterminate Liver Lesions
Deep Particle Tracker: Automatic Tracking of Particles in Fluorescence Microscopy Images Using Deep Learning
Efficient Partial Volume Tissue Classification in MRI Scans
Robust Contextual Bandit via the Capped- ℓ _2 ℓ 2 Norm for Mobile Health Intervention
Semi-supervised Multi-modal Medical Image Segmentation for Complex Situations
Anatomical Data Augmentation via Fluid-Based Image Registration
DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos
Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learning of Local Spine Prior
Analysis of Pulmonary Nodule Evolutions Using a Sequence of Three-Dimensional Thoracic CT Images
A Novel Interventional Guidance Framework for Transseptal Puncture in Left Atrial Interventions
Evaluation of Rigid and Non-rigid Motion Compensation of Cardiac Perfusion MRI
Concept-Induced Graph Perception Model for Interpretable Diagnosis
SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty
Retrospective Evaluation of Inter-subject Brain Registration
Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization
A Geometry-Based Particle Filtering Approach to White Matter Tractography
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
Random Walks with Efficient Search and Contextually Adapted Image Similarity for Deformable Registration
Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-supervised Contrastive Learning
Contour-Driven Regression for Label Inference in Atlas-Based Segmentation
Susceptibility DistortionSusceptibility distortion Correction of Diffusion MRIDiffusion MRI with a single Phase-EncodingPhase Encoding Direction
BayeSMM: Robust Deep Combined Computing Tackling Heavy-Tailed Distribution in Medical Images
Hierarchic Multi-atlas Based Segmentation for Anatomical Structures: Evaluation in the VISCERAL Anatomy Benchmarks
Enhanced Differential Evolution to Combine Optical Mouse Sensor with Image Structural Patches for Robust Endoscopic Navigation
Semi-Supervised Deformation-Free Image-to-Image Translation for Realistic CT Synthesis from CBCT
Fast Spherical Mapping of Cortical Surface Meshes Using Deep Unsupervised Learning
Universal Undersampled MRI Reconstruction
Mapping Techniques for Aligning Sulci across Multiple Brains
Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction
Simulation of Corticospinal Tract Displacement in Patients with Brain Tumors
Brain Tumor Segmentation Using Dense Fully Convolutional Neural Network
Retrospective Correction of the Heel Effect in Hand Radiographs
Deep MR to CT Synthesis Using Unpaired Data
Beyond Heatmaps: A Comparative Analysis of Metrics for Anomaly Localization in Medical Images
Gaze-Contingent Motor Channelling and Haptic Constraints for Minimally Invasive Robotic Surgery
A Deep Bayesian Video Analysis Framework: Towards a More Robust Estimation of Ejection Fraction
Random Walks with Adaptive Cylinder Flux Based Connectivity for Vessel Segmentation
MedSynth: Leveraging Generative Model for Healthcare Data Sharing
Fast Automatic Multi-atlas Segmentation of the Prostate from 3D MR Images
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis
PiMPiC: An Overlap-Aware Contrastive Learning Framework for 3D Patch-Based Medical Image Segmentation
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers
Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images
CDL-UNet: Curriculum-Driven Lightweight 3D U-Net for Abdominal Organ Segmentation
Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound
Towards Effective Functional Connectome Fingerprinting
Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging
Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model
Exploiting 3D Part-Based Analysis, Description and Indexing to Support Medical Applications
GMM-CoRegNet: A Multimodal Groupwise Registration Framework Based on Gaussian Mixture Model
Synaptic Partner Prediction from Point Annotations in Insect Brains
Multi-scale Characterization of White Matter Tract Geometry
Transformer-Based Instance Detection in 3D Medical Images
Uncertainty-Informed Bayesian PET Image Reconstruction Using a Deep Image Prior
Learning Pit Pattern Concepts for Gastroenterological Training
Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes
W-Net for Whole-Body Bone Lesion Detection on ^68 Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients
Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures
Weakly Supervised Organ Localization with Attention Maps Regularized by Local Area Reconstruction