yusuke1997/dblp-id-title huggingface dataset:
Approaches to Brain Tissue Quantification with Comparison on Supporting the Detection of Age-Related Dementia in MRI
An Active Contour Model for Segmentation Based on Cubic B-splines and Gradient Vector Flow
MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors
Multi-agent Collaboration for Integrating Echocardiography Expertise in Multi-modal Large Language Models
Studying Robustness of Semantic Segmentation Under Domain Shift in Cardiac MRI
Clinical Image-Based Procedures. Translational Research in Medical Imaging - 4th International Workshop, CLIP 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015. Revised Selected Papers
ECL: Class-Enhancement Contrastive Learning for Long-Tailed Skin Lesion Classification
Multimodal Brain Age Estimation Using Interpretable Adaptive Population-Graph Learning
Class-Specific Regression Random Forest for Accurate Extraction of Standard Planes from 3D Echocardiography
Predicting Future Bone Infiltration Patterns in Multiple Myeloma
Application of CT Simulation Technique for Virtual Fecal Tagging in CTC
Computer-Assisted TURP Training and Monitoring
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation
Hierarchical Conditional Random Fields for Detection of Gad-Enhancing Lesions in Multiple Sclerosis
SegResNet Based Reciprocal Transformation for BONBID-HIE Lesion Segmentation
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part III
Improved Classification Learning from Highly Imbalanced Multi-label Datasets of Inflamed Joints in [ 99m Tc]Maraciclatide Imaging of Arthritic Patients by Natural Image and Diffusion Model Augmentation
ISINet: An Instance-Based Approach for Surgical Instrument Segmentation
Simultaneous Segmentation and Anatomical Labeling of the Cerebral Vasculature
Node-Based Gaussian Graphical Model for Identifying Discriminative Brain Regions from Connectivity Graphs
Motion Correction and Parameter Estimation in dceMRI Sequences: Application to Colorectal Cancer
CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis
Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels
Non-invasive Thermal Imaging for Estimation of the Fecundity of Live Female Onchocerca Worms
Carving: Scalable Interactive Segmentation of Neural Volume Electron Microscopy Images
A Novel Phantom-Less Spatial and Temporal Ultrasound Calibration Method
A Multi-stage Sparse Coding Framework to Explore the Effects of Prenatal Alcohol Exposure
Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training
Neural Cellular Automata for Weakly Supervised Segmentation of White Blood Cells
Visual Field Based Automatic Diagnosis of Glaucoma Using Deep Convolutional Neural Network
Brain Tumor Segmentation and Survival Prediction Using a Cascade of Random Forests
Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining
SNAFusion: Distilling 2D Axial Plane Diffusion Priors for Sparse-View 3D Cone-Beam CT Imaging
SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings
Preconditioner-Based Contact Response and Application to Cataract Surgery
Segmentation of Q-Ball Images Using Statistical Surface Evolution
Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations
DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment
DRMC: A Generalist Model with Dynamic Routing for Multi-center PET Image Synthesis
A Topographic Representation for Mammogram Segmentation
Exploring Unsupervised Cell Recognition with Prior Self-activation Maps
Assessment of Reliability of Multi-site Neuroimaging Via Traveling Phantom Study
Fairness-Aware Data Augmentation for Cardiac MRI Using Text-Conditioned Diffusion Models
Advancing Pancreas Segmentation in Multi-protocol MRI Volumes Using Hausdorff-Sine Loss Function
Ophthalmic Medical Image Analysis - 10th International Workshop, OMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings
Clinical Experience with a Hich Precision Image-Guided Neurosurgery System
Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images
Identifying Thyroid Nodules in Ultrasound Images Through Segmentation-Guided Discriminative Localization
A Bilinear Model for Temporally Coherent Respiratory Motion
Calibrationless Parallel MRI with Joint Total Variation Regularization
Aneurysm Pose Estimation with Deep Learning
Steerable Features for Statistical 3D Dendrite Detection
Progressively Coupling Network for Brain MRI Registration in Few-Shot Situation
Investigating the Impact of Image Quality on Endoscopic AI Model Performance
Training-Free Condition Video Diffusion Models for Single Frame Spatial-Semantic Echocardiogram Synthesis
Neural Ultrasound Shape Reconstruction via Gated Fusion and Sampson Distance
Localization of Sparse Transmural Excitation Stimuli from Surface Mapping
Automatic Personalization of the Mitral Valve Biomechanical Model Based on 4D Transesophageal Echocardiography
Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects
Prompt-Driven Multi-view Representation Learning for Clinical Progression Prediction of Significant Memory Concern
Lifestyle Factors That Promote Brain Structural Resilience in Individuals with Genetic Risk Factors for Dementia
Segmentation of Biological Target Volumes on Multi-tracer PET Images Based on Information Fusion for Achieving Dose Painting in Radiotherapy
Body Fat Estimation from Surface Meshes Using Graph Neural Networks
Cross-Stream Interactions: Segmentation of Lung Adenocarcinoma Growth Patterns
Test-Time Unsupervised Domain Adaptation
Typicality Excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging
A Head-Mounted Display System for Augmented Reality Image Guidance: Towards Clinical Evaluation for iMRI-guided Neurosurgery
3D Medical Image Synthesis by Factorised Representation and Deformable Model Learning
Active Model Based Carotid Ultrasonic Data Segmentation
Shape-Based Diffeomorphic Registration on Hippocampal Surfaces Using Beltrami Holomorphic Flow
TReND: Transformer Derived Features and Regularized NMF for Neonatal Functional Network Delineation
Analyzing Domain Shift When Using Additional Data for the MICCAI KiTS23 Challenge
Non-negative Spherical Deconvolution (NNSD) for Fiber Orientation Distribution Function Estimation
Deep Mutual Distillation for Semi-supervised Medical Image Segmentation
Improved Map-Slice-to-Volume Motion Correction with B0 Inhomogeneity Correction: Validation of Activation Detection Algorithms Using ROC Curve Analyses
Conditional Segmentation in Lieu of Image Registration
A New Diagnostic Method for Alzheimer's Disease Using Pupillary Light Reflex
Zero-Shot Learning of Individualized Task Contrast Prediction from Resting-State Functional Connectomes
Self-supervised Nuclei Segmentation in Histopathological Images Using Attention
Neural Process Reconstruction from Sparse User Scribbles
SAMSA: Segment Anything Model Enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation
Multitask Deep Learning Model for Liver Segmentation and Lesion Classification from Multisequence MRI
FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data
Feature Space Optimization for Virtual Chromoendoscopy Augmented by Topography
Automatic Trajectory Planning for Deep Brain Stimulation: A Feasibility Study
Combining Surface and Fiber Geometry: An Integrated Approach to Brain Morphology
Automated Embryo Stage Classification in Time-Lapse Microscopy Video of Early Human Embryo Development
Finsler Tractography for White Matter Connectivity Analysis of the Cingulum Bundle
CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis
TextCAVs: Debugging Vision Models Using Text
Landmark-Free Statistical Shape Modeling Via Neural Flow Deformations
A Divide-and-Conquer Approach Towards Understanding Deep Networks
The Value of Ensemble Learning Model Based on Conventional Non-Contrast MRI in the Pathological Grading of Cervical Cancer
Computational Methods and Clinical Applications for Spine Imaging - 4th International Workshop and Challenge, CSI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers
Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting
Generative Adversarial Training for MRA Image Synthesis Using Multi-contrast MRI
Towards Arbitrary Noise Augmentation - Deep Learning for Sampling from Arbitrary Probability Distributions
Improved Prediction of Recurrence After Prostate Cancer Radiotherapy Using Multimodal Data and in Silico simulations
Simulation of Ultrasound Images for Validation of MR to Ultrasound Registration in Neurosurgery
Domain-Incremental Continual Learning for Robust Surgical Tool Segmentation
A Novel Graph Wavelet Model for Brain Multi-scale Activational-Connectional Feature Fusion
Anatomical Structure-Aware Pulmonary Nodule Detection via Parallel Multi-task RoI Head
3D Automated Lung Nodule Segmentation in HRCT
Immune-Guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging
Head and Neck Tumor Segmentation - First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings
Needle Guidance Using Handheld Stereo Vision and Projection for Ultrasound-Based Interventions
A 3D Femoral Head Coverage Metric for Enhanced Reliability in Diagnosing Hip Dysplasia
Accuracy and Repeatability of Joint Centre Location in Computer-Assisted Knee Surgery
Functional-Consistent CycleGAN for CT to Iodine Perfusion Map Translation
Improving Convenience and Reliability of 5-ALA-Induced Fluorescent Imaging for Brain Tumor Surgery
Lung Deformation Estimation with Non-rigid Registration for Radiotherapy Treatment
3-D Reconstruction of Macroscopic Optical Brain Slice Images
\beta -Hemolysis Detection on Cultured Blood Agar Plates by Convolutional Neural Networks
Brain Lesions, Introduction
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation
A Modular Robotic System for Ultrasound Image Acquisition
Realtime TRUS/MRI Fusion Targeted-Biopsy for Prostate Cancer: A Clinical Demonstration of Increased Positive Biopsy Rates
A Novel Shape Feature Descriptor for the Classification of Polyps in HD Colonoscopy
Boosting Vision-Language Models for Histopathology Classification: Predict All at Once
Registering Cortical Surfaces Based on Whole-Brain Structural Connectivity and Continuous Connectivity Analysis
Detection of Differentiated vs. Undifferentiated Colonies of iPS Cells Using Random Forests Modeled with the Multivariate Polya Distribution
An Adaptive Network with Extragradient for Diffusion MRI-Based Microstructure Estimation
Segmenting the Uterus in Monocular Laparoscopic Images without Manual Input
Virtual Thin Slice: 3D Conditional GAN-based Super-Resolution for CT Slice Interval
Multi-loss 3D Segmentation for Enhanced Bi-atrial Segmentation
Predicting Stroke Lesion and Clinical Outcome with Random Forests
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification
A Steady-Hand Robotic System for Microsurgical Augmentation
Early Brain Functional Segregation and Integration Predict Later Cognitive Performance
Hand-Held Sound-Speed Imaging Based on Ultrasound Reflector Delineation
Noise2Stack: Improving Image Restoration by Learning from Volumetric Data
Application Potential of Robot-Guided Ultrasound During CT-Guided Interventions
Topology Aware Quad Dominant Meshing for Vascular Structures
Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models
Predictive Intelligence in Medicine - 6th International Workshop, PRIME 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
Joint Segmentation and Registration for Infant Brain Images
Adaptive Subdivision for Hierarchical Non-rigid Registration of Multi-modal Images Using Mutual Information
Biomedical Image Retrieval Using Multimodal Context and Concept Feature Spaces
Automatic Trajectory Planning of DBS Neurosurgery from Multi-modal MRI Datasets
Diagnostic Assessment of Deep Learning Algorithms for Detection and Segmentation of Lesion in Mammographic Images
Hybrid Deep Learning Model for Pancreatic Cancer Image Segmentation
Curriculum Prompting Foundation Models for Medical Image Segmentation
Registration of Ultrasound Volumes Based on Euclidean Distance Transform
ProCo: Prototype-Aware Contrastive Learning for Long-Tailed Medical Image Classification
Longitudinal Analysis Using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric Cardiomyopathies
Automatic Tooth Segmentation and Dense Correspondence of 3D Dental Model
Learning Gestures for Customizable Human-Computer Interaction in the Operating Room
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images
ReTrace: Topological Evaluation of White Matter Tractography Algorithms Using Reeb Graphs
Spatial Regularisation for Improved Accuracy and Interpretability in Keypoint-Based Registration
TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images
Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels
Elastic Registration of Single Subject Task Based fMRI Signals
Implications of Inconsistencies between fMRI and dMRI on Multimodal Connectivity Estimation
FIST: Fast Interactive Segmentation of Tumors
Support Vector Based Autoregressive Mixed Models of Longitudinal Brain Changes and Corresponding Genetics in Alzheimer's Disease
DSSAU-Net: U-Shaped Hybrid Network for Pubic Symphysis and Fetal Head Segmentation
Conformal Prediction for Image Segmentation Using Morphological Prediction Sets
Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment
Enhancing nnUNetv2 Training with Autoencoder Architecture for Improved Medical Image Segmentation
Diagnosis of Parkinson's Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble Learning
Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders
Geodesic Shape-Based Averaging
Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-Based Network
An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-lesions
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VII
Wide-Angle Intraocular Imaging and Localization
Robust and Generalisable Segmentation of Subtle Epilepsy-Causing Lesions: A Graph Convolutional Approach
EyeSi - A Simulator for Intra-ocular Surgery
Adaptive Metamorphs Model for 3D Medical Image Segmentation
Distance Measurement for Sensorless 3D US
BrainSuite: An Automated Cortical Surface Identification Tool
Multiple Structure Tracing in 3D Electron Micrographs
Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning
Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models
Implicit Field Learning for Unsupervised Anomaly Detection in Medical Images
Endoscope Calibration and Accuracy Testing for 3D/2D Image Registration
RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis
MrTrack: Register Mamba for Needle Tracking with Rapid Reciprocating Motion During Ultrasound-Guided Aspiration Biopsy
Adaptive Multi-cluster Fuzzy C-Means Segmentation of Breast Parenchymal Tissue in Digital Mammography
Automated Analysis of PIN-4 Stained Prostate Needle Biopsies
LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
Texture Analysis by a PLS Based Method for Combined Feature Extraction and Selection
Comparative Performance of Random Forest and Support Vector Machine Classifiers for Detection of Colorectal Lesions in CT Colonography
Automated Ensemble Method for Pediatric Brain Tumor Segmentation
Personalized CT Organ Dose Estimation from Scout Images
Learning-Based Multi-atlas Segmentation of the Lungs and Lobes in Proton MR Images
Motion Compensated Unsupervised Deep Learning for 5D MRI
Adversarial Prediction of Radiotherapy Treatment Machine Parameters
Synchronized Display of Virtual Colonoscopic Views in Supine and Prone CT Images
Development of 3D Measuring Techniques for the Analysis of Facial Soft Tissue Change
Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning
A Shared Neural Encoding Model for the Prediction of Subject-Specific fMRI Response
A New Method for Contour Determination of the Prostate in Ultrasound Images
Lumbar Disc Localization and Labeling with a Probabilistic Model on Both Pixel and Object Features
An End-to-End Learnable Flow Regularized Model for Brain Tumor Segmentation
Statistical Shape Model Construction of Lumbar Vertebrae and Intervertebral Discs in Segmentation for Discectomy Surgery Simulation
A Glimpse into the Future: Disease Progression Simulation for Breast Cancer in Mammograms
Imaging Biomarker Discovery for Lung Cancer Survival Prediction
Automatic Detection of Large Misregistrations of Multimodality Medical Images
Sparse Classification with MRI Based Markers for Neuromuscular Disease Categorization
Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images
Topological Data Analysis of Functional MRI Connectivity in Time and Space Domains
Disentanglement of Biological and Technical Factors via Latent Space Rotation in Clinical Imaging Improves Disease Pattern Discovery
A Novel 3D Multi-scale Lineness Filter for Vessel Detection
Towards Reliable Automatic Characterization of Neonatal Hip Dysplasia from 3D Ultrasound Images
Similarity Metrics for Groupwise Non-rigid Registration
Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings
Variational Solution to the Joint Detection Estimation of Brain Activity in fMRI
TopOC: Topological Deep Learning for Ovarian and Breast Cancer Diagnosis
Towards Affordable Tumor Segmentation and Visualization for 3D Breast MRI Using SAM2
Phase-Driven Finite Element Model for Spatio-temporal Tracking in Cardiac Tagged MRI
AI-Assisted Laryngeal Examination System
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation
Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation
Deep Learning Retinal Vessel Segmentation from a Single Annotated Example: An Application of Cyclic Generative Adversarial Neural Networks
Computational Modelling of Pathogenic Protein Behaviour-Governing Mechanisms in the Brain
Multi-part Left Atrium Modeling and Segmentation in C-Arm CT Volumes for Atrial Fibrillation Ablation
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
Test-Time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift
MAARTA:Multi-agentic Adaptive Radiology Teaching Assistant
Automatic Detection and Segmentation of Ground Glass Opacity Nodules
Geometric Brain Surface Network for Brain Cortical Parcellation
Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models
Decoding the Visual Attention of Pathologists to Reveal Their Level of Expertise
AutoSkull: Learning-Based Skull Estimation for Automated Pipelines
Automated 3D Freehand Ultrasound Calibration with Real-Time Accuracy Control
Domain-Agnostic Segmentation of Thalamic Nuclei from Joint Structural and Diffusion MRI
Cross-Modality Image Synthesis from Unpaired Data Using CycleGAN - Effects of Gradient Consistency Loss and Training Data Size
Manifold Learning for Biomarker Discovery in MR Imaging
Generation of Realistic 4D Synthetic CSPAMM Tagged MR Sequences for Benchmarking Cardiac Motion Tracking Algorithms
High Order Slice Interpolation for Medical Images
Feature Extraction for fMRI-Based Human Brain Activity Recognition
Bayesian Image Quality Transfer
Standardized Analysis of Kidney Ultrasound Images for the Prediction of Pediatric Hydronephrosis Severity
A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data
A Multi-Branch Framework for Cross-Domain Vessel Segmentation via the Few-Shot Paradigm
Intra-patient Non-rigid Registration of 3D Vascular Cerebral Images
Removal of Confounders via Invariant Risk Minimization for Medical Diagnosis
Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks
Super-Resolution of Manifold-Valued Diffusion MRI Refined by Multi-modal Imaging
Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based Constraint
Improving Segmentation of the Left Ventricle Using a Two-Component Statistical Model
Brain Tumor Segmentation with Optimized Random Forest
The Data Behind the Model: Gaps and Opportunities for Foundation Models in Brain Imaging
Deep Learning for Multi-task Medical Image Segmentation in Multiple Modalities
Pathological OCT Retinal Layer Segmentation Using Branch Residual U-Shape Networks
Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis
Hierarchical Feature Extraction for Nuclear Morphometry-Based Cancer Diagnosis
An Energy Minimization Approach to the Data Driven Editing of Presegmented Images/Volumes
Voxlines: Streamline Transparency Through Voxelization and View-Dependent Line Orders
DC-Net: Dual Context Network for 2D Medical Image Segmentation
Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development
Catheter Tracking via Online Learning for Dynamic Motion Compensation in Transcatheter Aortic Valve Implantation
Improved Heatmap-Based Landmark Detection
A Meta Registration Framework for Lesion Matching
Estimation of 3T MR Images from 1.5T Images Regularized with Physics Based Constraint
Stable Diffusion Segmentation for Biomedical Images with Single-Step Reverse Process
Spatiotemporal Reconstruction of the Breathing Function
Vessel Segmentation for Visualization of MRA with Blood Pool Contrast Agent
GSCA-Net: A Global Spatial Channel Attention Network for Kidney, Tumor and Cyst Segmentation
Evaluation of 3-D Shape Reconstruction of Retinal Fundus
S 2 ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-Supervised Polyp Segmentation
A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation
DeSupGAN: Multi-scale Feature Averaging Generative Adversarial Network for Simultaneous De-blurring and Super-Resolution of Retinal Fundus Images
Statistical Analysis of Tensor Fields
Preoperative Planning and Simulation Framework for Twin-to-Twin Transfusion Syndrome Fetal Surgery
Multi-scale Hybrid Transformer Networks: Application to Prostate Disease Classification
Regional Heart Motion Abnormality Detection via Multiview Fusion
Multi-modal Medical Volumes Fusion by Surface Matching
Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels
Semi-supervised Assessment of Incomplete LV Coverage in Cardiac MRI Using Generative Adversarial Nets
Automated Intervertebral Disc Detection from Low Resolution, Sparse MRI Images for the Planning of Scan Geometries
Multilevel Segmentation and Integrated Bayesian Model Classification with an Application to Brain Tumor Segmentation
Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges - 8th International Workshop, STACOM 2017, Held in Conjunction with MICCAI 2017, Quebec City, Canada, September 10-14, 2017, Revised Selected Papers
A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology
Deep Learning Based Approach to Quantification of PET Tracer Uptake in Small Tumors