yusuke1997/dblp-id-title huggingface dataset:
Two-Step Domain Adaptation for Mitotic Cell Detection in Histopathology Images
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 6th International Workshop, UNSURE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays
Exact MAP Activity Detection in f MRI Using a GLM with an Ising Spatial Prior
Autofocusing of Clinical Shoulder MR Images for Correction of Motion Artifacts
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data
Unsupervised Training of Neural Cellular Automata on Edge Devices
Combining Multiple Image Segmentations by Maximizing Expert Agreement
Alzheimer's Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data Fusion
Joint Multi-task Learning Improves Weakly-Supervised Biomarker Prediction in Computational Pathology
Skip-StyleGAN: Skip-Connected Generative Adversarial Networks for Generating 3D Rendered Image of Hand Bone Complex
Evaluation of Deformable Image Registration Under Alignment-Regularity Trade-Off
Improving Accuracy and Power with Transfer Learning Using a Meta-analytic Database
Anterior Segment Eye Lesion Segmentation with Advanced Fusion Strategies and Auxiliary Tasks
Retinal OCT Denoising with Pseudo-Multimodal Fusion Network
Cross-Task Data Augmentation by Pseudo-Label Generation for Region Based Coronary Artery Instance Segmentation
Cardiac Fiber Inpainting Using Cartan Forms
A Texton-Based Approach for the Classification of Lung Parenchyma in CT Images
Deep MRI Reconstruction with Generative Vision Transformers
Hierarchical Multiple-Model Bayesian Approach to Transmural Electrophysiological Imaging
Quality Assessment of Echocardiographic Cine Using Recurrent Neural Networks: Feasibility on Five Standard View Planes
When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections - First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
Evaluation of a Real-Time Hybrid Three-Dimensional Echo and X-Ray Imaging System for Guidance of Cardiac Catheterisation Procedures
Practical and Ethical Considerations for Generative AI in Medical Imaging
q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans
Coronary Tree Extraction Using Motion Layer Separation
Multi-modal Pipeline for Comprehensive Validation of Mitral Valve Geometry and Functional Computational Models
Brachytherapy Seed Localization from Fluoroscopic Images Using a Statistical Classifier
Arterial Spin Labeling Images Synthesis via Locally-Constrained WGAN-GP Ensemble
Classification of Ambiguous Nerve Fiber Orientations in 3D Polarized Light Imaging
An Online Platform for the Automatic Reporting of Multi-parametric Tissue Signatures: A Case Study in Glioblastoma
A Generative Modeling Approach for Interpreting Population-Level Variability in Brain Structure
Distribution-Aware Replay for Continual MRI Segmentation
Pair Shuffle Consistency for Semi-supervised Medical Image Segmentation
Robustness and Sex Differences in Skin Cancer Detection: Logistic Regression vs CNNs
Multi-view Guidance for Self-supervised Monocular Depth Estimation on Laparoscopic Images via Spatio-Temporal Correspondence
Diffusion of Fiber Orientation Distribution Functions with a Rotation-Induced Riemannian Metric
Affine Registration with Feature Space Mutual Information
Progressive and Coarse-to-Fine Network for Medical Image Registration Across Phases, Modalities and Patients
Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net
Efficient Foundation Model Pre-training on Mixed Retina Images from Similar Modalities
Weakly Supervised Volumetric Image Segmentation with Deformed Templates
Colon Visualization Using Shape Preserving Flattening
Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels
Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part I
Multi-modal Unsupervised Pre-training for Surgical Operating Room Workflow Analysis
SurRecNet: A Multi-task Model with Integrating MRI and Diagnostic Descriptions for Rectal Cancer Survival Analysis
Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis
Extended Electrophysiological Source Imaging with Spatial Graph Filters
Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose
Entropy-Based, Multiple -Portal-to-3DCT Registration for Prostate Radiotherapy Using Iteratively Estimated Segmentation
Onset Prediction of Center-Involved Diabetic Macular Edema on Ultra-Widefield Fundus Images Using Finetuned ResNet with Class Balanced Focal Loss
Self-supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation
Automatic Segmentation of Lumbar Spine MRI Using Ensemble of 2D Algorithms
Superpixel-Guided Iterative Learning from Noisy Labels for Medical Image Segmentation
SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis
Model-Guided Directional Minimal Path for Fully Automatic Extraction of Coronary Centerlines from Cardiac CTA
Guided Adversarial Adaptation Network for Retinal and Choroidal Layer Segmentation
On the b-value Derivation for diffusion-weighted Double-Echo Steady-State (dwDESS) Magnetic Resonance Imaging
Resolving the Overlap of Macrovascular and Microvascular Flow Components in Digital Subtraction Angiography for Cerebral Reperfusion Assessment
Groupwise Registration with Sharp Mean
CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries
Self-supervised Polyp Re-identification in Colonoscopy
Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings
Learning Disease State from Noisy Ordinal Disease Progression Labels
Point-to-Volume Registration of Prostate Implants to Ultrasound
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays
Automated Segmentation of the Femur and Pelvis from 3D CT Data of Diseased Hip Using Hierarchical Statistical Shape Model of Joint Structure
Thickness NETwork (ThickNet) Features for the Detection of Prodromal AD
Brain Tumor Segmentation Using Bit-plane and UNET
Bivariate Genome-Wide Association Study of Genetically Correlated Neuroimaging Phenotypes from DTI and MRI through a Seemingly Unrelated Regression Model
On the Relationship Between Calibrated Predictors and Unbiased Volume Estimation
Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques
Single-Shot Retinal Image Enhancement Using Deep Image Priors
Segmenting Lung Fields in Serial Chest Radiographs Using Both Population and Patient-Specific Shape Statistics
Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth
On Classifying Disease-Induced Patterns in the Brain Using Diffusion Tensor Images
Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge
Evaluation of Soft-Tissue Model Parameters
ReCAP: Recursive Cross Attention Network for Pseudo-label Generation in Robotic Surgical Skill Assessment
Few-Shot Segmentation of Microscopy Images Using Gaussian Process
Patch-Based Techniques in Medical Imaging - First International Workshop, Patch-MI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers
DFU-Ens: End-to-End Diabetic Foot Ulcer Segmentation Framework with Vision Transformer Based Detection
Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography
A Model for Relations between Needle Deflection, Force, and Thickness on Needle Penetration
Computational Atlases of Severity of White Matter Lesions in Elderly Subjects with MRI
BundleMAP: Anatomically Localized Features from dMRI for Detection of Disease
3D Stable Spatio-Temporal Polyp Localization in Colonoscopy Videos
Computer-Aided Image-Guided Bone Fracture Surgery: Modeling, Visualization, and Preoperative Planning
A Spatial-Temporal Deformable Attention Based Framework for Breast Lesion Detection in Videos
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Simultaneous Stereoscope Localization and Soft-Tissue Mapping for Minimal Invasive Surgery
Higher Order of Motion Magnification for Vessel Localisation in Surgical Video
CircleSnake: Instance Segmentation with Circle Representation
Identification of Paediatric Tuberculosis from Airway Shape Features
Implicit Embeddings via GAN Inversion for High Resolution Chest Radiographs
From Brain Connectivity Models to Identifying Foci of a Neurological Disorder
MAUP: Training-Free Multi-center Adaptive Uncertainty-Aware Prompting for Cross-Domain Few-Shot Medical Image Segmentation
Intra-op Measurement of the Mechanical Axis Deviation: An Evaluation Study on 19 Human Cadaver Legs
RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction
NIMOSEF: Neural Implicit Motion and Segmentation Functions
Computed Cleansing for Virtual Colonoscopy Using a Three-Material Transition Model
Convolutional Neural Network for Reconstruction of 7T-like Images from 3T MRI Using Appearance and Anatomical Features
Statistical and Deformable Model Approaches to the Segmentation of MR Imagery and Volume Estimation of Stroke Lesions
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs Using a Novel Multi-scale Generative Adversarial Network
Evaluating Automatic Brain Tissue Classifiers
Reinforcement Learning for Active Modality Selection During Diagnosis
Quantitative Deconvolution of fMRI Data with Multi-echo Sparse Paradigm Free Mapping
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part I
Surgical Video Motion Magnification with Suppression of Instrument Artefacts
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI
Estimating Constrained Multi-fiber Diffusion MR Volumes by Orientation Clustering
Optimally Stabilized PET Image Denoising Using Trilateral Filtering
Comparing Deep Learning Strategies and Attention Mechanisms of Discrete Registration for Multimodal Image-Guided Interventions
Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection
Advancing Medical Representation Learning Through High-Quality Data
Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels
Deep-Cleansing: Deep-Learning Based Electronic Cleansing in Dual-Energy CT Colonography
Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management
Navigation Path Retrieval from Videobronchoscopy Using Bronchial Branches
Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound
Integration of Patch Features Through Self-supervised Learning and Transformer for Survival Analysis on Whole Slide Images
Improve Bone Age Assessment by Learning from Anatomical Local Regions
Mean q-Ball Strings Obtained by Constrained Procrustes Analysis with Point Sliding
Deriving Lung Perfusion Directly from CT Image Using Deep Convolutional Neural Network: A Preliminary Study
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks
Detection of Mammographic Masses by Content-Based Image Retrieval
Category-Independent Visual Explanation for Medical Deep Network Understanding
Characterizing Task-Related Temporal Dynamics of Spatial Activation Distributions in fMRI BOLD Signals
Two-Stage Semi-supervised nnU-Net Framework for Tooth Segmentation in CBCT Images
Deep Biomechanically-Guided Interpolation for Keypoint-Based Brain Shift Registration
SyNCCT: Synthetic Non-contrast Images of the Brain from Single-Energy Computed Tomography Angiography
Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis
Combining CNN and Hybrid Active Contours for Head and Neck Tumor Segmentation in CT and PET Images
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation
Parameterisation of Multi-directional Diffusion Weighted Magnetic Resonance Images of the Heart
Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification
Interpretable Rheumatoid Arthritis Scoring via Anatomy-Aware Multiple Instance Learning
From Pixel to Cancer: Cellular Automata in Computed Tomography
Dataset and Evaluation Algorithm Design for GOALS Challenge
Deriving Statistical Significance Maps for SVM Based Image Classification and Group Comparisons
Beyond Engagement: A Multidimensional Framework to Evaluate the Safe Development of Agentic AI in Mental Health
Intra-operative Forecasting of Standing Spine Shape with Articulated Neural Kernel Fields
Breast Cancer Molecular Subtyping from H&E Whole Slide Images Using Foundation Models and Transformers
Causal Sensitivity Analysis for Hidden Confounding: Modeling the Sex-Specific Role of Diet on the Aging Brain
PCMC-T1: Free-Breathing Myocardial T1 Mapping with Physically-Constrained Motion Correction
Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning
Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering
Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks
Landmark-Based Surgical Navigation
Prediction of CRT Activation Sequence by Personalization of Biventricular Models from Electroanatomical Maps
A Statistical Shape Model for the Liver
Self-supervised Motion-Compensated Reconstruction for Cardiac Cine MRI
Towards Guidance of Electrophysiological Procedures with Real-Time 3D Intracardiac Echocardiography Fusion to C-arm CT
Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos
A Realistic Collimated X-Ray Image Simulation Pipeline
Disease Progression Modelling and Stratification for Detecting Sub-trajectories in the Natural History of Pathologies: Application to Parkinson's Disease Trajectory Modelling
PlacentaNet: Automatic Morphological Characterization of Placenta Photos with Deep Learning
Two-Stage 2D CNN for Automatic Atrial Segmentation from LGE-MRIs
Temporal Modulated Multi-scale Deformation Fusion via Knowledge Distillation for 4D Medical Image Interpolation
Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion
Prediction of Cranio-Maxillofacial Surgical Planning Using an Inverse Soft Tissue Modelling Approach
Segmenting 3D Branching Tubular Structures Using Cores
Non-parametric Vignetting Correction for Sparse Spatial Transcriptomics Images
Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling
Detect and Identify Aneurysms Based on Adjusted 3D Attention UNet
Transfer Learning in Optical Microscopy
Rethinking Anticipation Tasks: Uncertainty-Aware Anticipation of Sparse Surgical Instrument Usage for Context-Aware Assistance
MoE-SAM: Enhancing SAM for Medical Image Segmentation with Mixture-of-Experts
Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation
Similarity-Based Appearance-Prior for Fitting a Subdivision Mesh in Gene Expression Images
A Fully Automated Method for the Delineation of Osseous Interface in Ultrasound Images
Bias of Least Squares Approaches for Diffusion Tensor Estimation from Array Coils in DT-MRI
A Novel Approach to Anatomical Structure Morphing for Intraoperative Visualization
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities
Symmetric Atlasing and Model Based Segmentation: An Application to the Hippocampus in Older Adults
Reliability-Aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification
SemiVT-Surge: Semi-supervised Video Transformer for Surgical Phase Recognition
Generation of Synthetic 4D Cardiac CT Images by Deformation from Cardiac Ultrasound
A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis
Shape in Medical Imaging - International Workshop, ShapeMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings
4D Active Surfaces for Cardiac Analysis
Radar-Based Imaging for Sign Language Recognition in Medical Communication
Transport on Riemannian Manifold for Functional Connectivity-Based Classification
Dual Knowledge-Aware Guidance for Source-Free Domain Adaptive Fundus Image Segmentation
Motion Corruption Detection in Breast DCE-MRI
SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation
Deployment of Image Analysis Algorithms Under Prevalence Shifts
Tissue Surface Reconstruction Aided by Local Normal Information Using a Self-calibrated Endoscopic Structured Light System
Providing Effective Real-Time Feedback in Simulation-Based Surgical Training
Auto-segmentation of Hip Joints Using MultiPlanar UNet with Transfer Learning
Panoptic Segmentation of Mammograms with Text-to-Image Diffusion Model
Predicting Intelligence Based on Cortical WM/GM Contrast, Cortical Thickness and Volumetry
From Whole-Body to Abdomen: Streamlined Segmentation of Organs and Tumors via Semi-Supervised Learning and Efficient Coarse-to-Fine Inference
FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology
Accurate Quantification of Small-Diameter Tubular Structures in Isotropic CT Volume Data Based on Multiscale Line Filter Responses
Small Animal Radiation Research Platform: Imaging, Mechanics, Control and Calibration
Detrend-Free Hemodynamic Data Assimilation of Two-Stage Kalman Estimator
Three-Dimensional CT Image Segmentation by Combining 2D Fully Convolutional Network with 3D Majority Voting
Robust Anatomical Landmark Detection for MR Brain Image Registration
Extraction of Cardiac and Respiratory Motion Information from Cardiac X-Ray Fluoroscopy Images Using Hierarchical Manifold Learning
A Log-Euclidean Framework for Statistics on Diffeomorphisms
Tetra-Orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading
Using the Fast Marching Method to Extract Curves with Given Global Properties
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis
Interactive Medical Image Segmentation with United Snakes
Deep Transfer Learning for Whole-Brain FMRI Analyses
Computational Diffusion MRI and Brain Connectivity, MICCAI Workshops CDMRI/MMBC, Nagoya, Japan, September 22nd, 2013
Toward Early Diagnosis of Lung Cancer
Numerical Simulation of Radio Frequency Ablation with State Dependent Material Parameters in Three Space Dimensions
Pose Estimation of 2D Ultrasound Probe from Ultrasound Image Sequences Using CNN and RNN
Federated Reprogramming Knowledge Distillation for Medical Image Classification
Automatic Localization of Laparoscopic Instruments for the Visual Servoing of an Endoscopic Camera Holder
X-ray Categorization and Spatial Localization of Chest Pathologies
Validation of an Improved Patient-Specific Mold Design for Registration of In-vivo MRI and Histology of the Prostate
IcoConv: Explainable Brain Cortical Surface Analysis for ASD Classification
GANs vs. Diffusion Models for Virtual Staining with the HER2match Dataset
Deep Learning and Radiomics Based PET/CT Image Feature Extraction from Auto Segmented Tumor Volumes for Recurrence-Free Survival Prediction in Oropharyngeal Cancer Patients
Automatic Brain Tumor Segmentation with Domain Adaptation
Untangling Vascular Trees for Surgery and Interventional Radiology
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting
Mixed Reality Merging of Endoscopic Images and 3-D Surfaces
Identification of Gadolinium Contrast Enhanced Regions in MS Lesions Using Brain Tissue Microstructure Information Obtained from Diffusion and T2 Relaxometry MRI
Semi-supervised Semantic Segmentation Methods for UW-OCTA Diabetic Retinopathy Grade Assessment
Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers
A Method for Detecting Undisplayed Regions in Virtual Colonoscopy and Its Application to Quantitative Evaluation of Fly-Through Methods
4D Shape Priors for a Level Set Segmentation of the Left Myocardium in SPECT Sequences
Multi-modal Query Expansion Based on Local Analysis for Medical Image Retrieval
FOCUS: Feature Replay with Optimized Channel-Consistent Dropout for U-Net Skip-Connections
Pathology Synthesis of 3D Consistent Cardiac MR Images Using 2D VAEs and GANs
Improvement of a Virtual Pivot for Minimally Invasive Surgery Simulators Using Haptic Augmentation
Anatomy-Aware Gating Network for Explainable Alzheimer's Disease Diagnosis
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound
Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors
Bone Enhancement in Ultrasound Based on 3D Local Spectrum Variation for Percutaneous Scaphoid Fracture Fixation
Selecting the Optimal Sequence for Deformable Registration of Microscopy Image Sequences Using Two-Stage MST-based Clustering Algorithm
Towards Regional Elastography of Intracranial Aneurysms
AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation
Clinical Neonatal Brain MRI Segmentation Using Adaptive Nonparametric Data Models and Intensity-Based Markov Priors
Dataset, Baseline and Evaluation Design for GAVE Challenge
Limits on Estimating the Width of Thin Tubular Structures in 3D Images
AnatomyBrowser: A Framework for Integration of Medical Information
Atlas-Based Auto-segmentation of Head and Neck CT Images
A Comparative Statistical Error Analysis of Neuronavigation Systems in a Clinical Setting
Microstructure Fingerprinting for Heterogeneously Oriented Tissue Microenvironments
Selective Use of Face Gesture Interface and Instrument Tracking System for Control of a Robotic Laparoscope Positioner
Is Uncertainty Quantification a Viable Alternative to Learned Deferral?
Co-generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data
Development of a Novel Robot-Assisted Orthopaedic System Designed for Total Knee Arthroplasty
The Feasibility of MR-Image Guided Prostate Biopsy Using Piezoceramic Motors Inside or Near to the Magnet Isocentre
RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation Using Multimodal MRI Inputs
Unsupervised Correspondence with Combined Geometric Learning and Imaging for Radiotherapy Applications
Heritability of White Matter Fiber Tract Shapes: A HARDI Study of 198 Twins
Can Crowdsourced Annotations Improve AI-Based Congestion Scoring for Bedside Lung Ultrasound?
Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation
Specification Method of Surface Measurement for Surgical Navigation: Ridgeline Based Organ Registration
Intrinsic Melanin and Hemoglobin Colour Components for Skin Lesion Malignancy Detection
Robust Pulmonary Nodule Segmentation in CT: Improving Performance for Juxtapleural Cases
Estimation of Smooth Growth Trajectories with Controlled Acceleration from Time Series Shape Data
Clustering-Based Stain Augmentation: Templates for Periodic Acid-Schiff Biopsy Images
Cell Orientation Entropy (COrE): Predicting Biochemical Recurrence from Prostate Cancer Tissue Microarrays
Abdominal Imaging. Computational and Clinical Applications - 4th International Workshop, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings