yusuke1997/dblp-id-title huggingface dataset:
3D Surface Reconstruction of Organs Using Patient-Specific Shape Priors in Robot-Assisted Laparoscopic Surgery
A Cross Saliency Approach to Asymmetry-Based Tumor Detection
SoftCTM: Cell Detection by Soft Instance Segmentation and Consideration of Cell-Tissue Interaction
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation
Automated Classification of Arterioles and Venules for Retina Fundus Images Using Dual Deeply-Supervised Network
Feature Selection Gates with Gradient Routing for Endoscopic Image Computing
Segmenting the Ischemic Penumbra: A Decision Forest Approach with Automatic Threshold Finding
Semi-supervised Surgical Tool Detection Based on Highly Confident Pseudo Labeling and Strong Augmentation Driven Consistency
Multimodal Fusion of Brain Networks with Longitudinal Couplings
Computer-Aided Detection of Aneurysms in 3D Time-of-Flight MRA Datasets
A Simple and Efficient Cylinder Imposter Approach to Visualize DTI Fiber Tracts
Computer-Assisted Diagnosis for Quantitative Image-Based Analysis of Crohn's Disease in CT Enterography
Assessing Attribution Maps for Explaining CNN-Based Vertebral Fracture Classifiers
Deep Open Snake Tracker for Vessel Tracing
Crowdsourcing Labels for Pathological Patterns in CT Lung Scans: Can Non-experts Contribute Expert-Quality Ground Truth?
3D Meshless Prostate Segmentation and Registration in Image Guided Radiotherapy
Non-fever COVID-19 Detection by Infrared Imaging
Spatial-Aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
Electronic Cleansing in CT Colonography: Past, Present, and Future
Accurate Measurement of Airway Morphology on Chest CT Images
Computer-Assisted Orthognatic Surgery: Consequences of a Clinical Evaluation
A Learning-Free Approach to Whole Spine Vertebra Localization in MRI
A Data Clustering and Streamline Reduction Method for 3D MR Flow Vector Field Simplification
A Novel Endoscopic Navigation System: Simultaneous Endoscope and Radial Ultrasound Probe Tracking Without External Trackers
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings
Minimum Cost Path Algorithm for Coronary Artery Central Axis Tracking in CT Images
Multi-stage Dental Visual Detection Based on YOLOv8: Dental 3D CBCT
Assessing Self-supervised xLSTM-UNet Architectures for Head and Neck Tumor Segmentation in MR-Guided Applications
Mesh Generation from 3D Multi-material Images
Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer
Self-supervised Pre-training for Nuclei Segmentation
Automated CT Lung Cancer Screening Workflow Using 3D Camera
Reconstruction of Coronary Artery Centrelines from X-Ray Angiography Using a Mixture of Student's t-Distributions
Automated Analysis of Diabetic Retinopathy Using Vessel Segmentation Maps as Inductive Bias
RadGS-Reg: Registering Spine CT with Biplanar X-Rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration
Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image Segmentation
Markerless Inside-Out Tracking for 3D Ultrasound Compounding
All-In-One Medical Image Restoration via Task-Adaptive Routing
GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging
MR to Ultrasound Image Registration for Guiding Prostate Biopsy and Interventions
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - 6th International Workshop, STACOM 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers
End-to-End Lung Nodule Detection in Computed Tomography
Parallel Mean Shift for Interactive Volume Segmentation
Learning Interpretable Features via Adversarially Robust Optimization
Multiple Instance Learning for Classification of Dementia in Brain MRI
LiftReg: Limited Angle 2D/3D Deformable Registration
Cluster Based Secure Multi-party Computation in Federated Learning for Histopathology Images
Sensorless Reconstruction of Freehand 3D Ultrasound Data
Development of a Robotic Laser Surgical Tool with an Integrated Video Endoscope
An Improved U-Net for Diabetic Retinopathy Segmentation
Mammo-SAE : Interpreting Breast Cancer Concept Learning with Sparse Autoencoders
Stain Style Transfer of Histopathology Images via Structure-Preserved Generative Learning
Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images
Text-Guided Cross-Position Attention for Segmentation: Case of Medical Image
Pulmonary Organs Analysis Method and Its Evaluation Based on Thoracic Thin-Section CT Images
CoBooM: Codebook Guided Bootstrapping for Medical Image Representation Learning
Intra-operative Transfer of Planned Zygomatic Fixtures by Personalized Templates: A Cadaver Validation Study
Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal
Detection and Characterization of the Fetal Heartbeat in Free-hand Ultrasound Sweeps with Weakly-supervised Two-streams Convolutional Networks
Accurate Definition of Brain Regions Position through the Functional Landmark Approach
Explainable Vertebral Fracture Analysis with Uncertainty Estimation Using Differentiable Rule-Based Classification
Unsupervised Network Learning for Cell Segmentation
Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation
An Object-Based Volumetric Deformable Atlas for the Improved Localization of Neuroanatomy in MR Images
Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection
Using Uncertainty Information for Kidney Tumor Segmentation
SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation
Multi-organ Segmentation Using Shape Model Guided Local Phase Analysis
Discriminative Sparse Connectivity Patterns for Classification of fMRI Data
Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy
Improved Diagnosis of Systemic Sclerosis Using Nailfold Capillary Flow
Multi-task Shape Regression for Medical Image Segmentation
Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation
WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation
Automatic Quality Control in Multi-centric Fetal Brain MRI Super-Resolution Reconstruction
Weight Erosion: An Update Aggregation Scheme for Personalized Collaborative Machine Learning
Combining Multiple Atlases to Estimate Data-Driven Mappings Between Functional Connectomes Using Optimal Transport
Abdominal Multi-Organ Segmentation of CT Images Based on Hierarchical Spatial Modeling of Organ Interrelations
A Realistic Model of the Inner Organs from the Visible Human Data
LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos
Head and Neck Tumor Segmentation with Deeply-Supervised 3D UNet and Progression-Free Survival Prediction with Linear Model
Calibration Method for Determining the Physical Location of the Ultrasound Image Plane
A Federated Multigraph Integration Approach for Connectional Brain Template Learning
Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery
Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks
Localization and Segmentation of 3D Intervertebral Discs from MR Images via a Learning Based Method: A Validation Framework
A PVA-C Brain Phantom Derived from a High Quality 3D MR Data Set
Comparison of Active Learning Strategies Applied to Lung Nodule Segmentation in CT Scans
Dynamic Multi-scale CNN Forest Learning for Automatic Cervical Cancer Segmentation
Train Small, Generate Big: Synthesis of Colorectal Cancer Histology Images
SurgTrack: CAD-Free 3D Tracking of Real-World Surgical Instruments
Automatic Surgical Reconstruction for Orbital Blow-Out Fracture via Symmetric Prior Anatomical Knowledge-Guided Adversarial Generative Network
Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness
FocalErrorNet: Uncertainty-Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery
Local Graph Fusion of Multi-view MR Images for Knee Osteoarthritis Diagnosis
Shape Modelling for Tract Selection
Deep Learning for Classifying Anti-Shigella Opsono- Phagocytosis-Promoting Monoclonal Antibodies
Scaling nnU-Net for CBCT Segmentation
Multi-layer Temporal Network Analysis Reveals Increasing Temporal Reachability and Spreadability in the First Two Years of Life
Simplifying Medical Ultrasound - 5th International Workshop, ASMUS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
Development of Effective Connectome from Infancy to Adolescence
WaveSep: A Flexible Wavelet-Based Approach for Source Separation in Susceptibility Imaging
Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification
Evaluating Visual Explanations of Attention Maps for Transformer-Based Medical Imaging
Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain
Tractography via the Ensemble Average Propagator in Diffusion MRI
A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching Between Longitudinal Studies
Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional Neural Networks
Open-Curve Shape Correspondence Without Endpoint Correspondence
A Combined Statistical and Biomechanical Model for Estimation of Intra-operative Prostate Deformation
Groupwise Registration and Atlas Construction of 4th-Order Tensor Fields Using the R + Riemannian Metric
Constrained Sparse Functional Connectivity Networks for MCI Classification
Level-Set Surface Segmentation and Fast Cortical Range Image Tracking for Computing Intrasurgical Deformations
Statistical Atlases and Computational Models of the Heart, First International Workshop, STACOM 2010, and Cardiac Electrophysiological Simulation Challenge, CESC 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010. Proceedings
Multi-channel Generative Adversarial Network for Parallel Magnetic Resonance Image Reconstruction in K-space
Overview of the 2015 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2015)
FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation
Estimation of Cardiac Hyperelastic Material Properties from MRI Tissue Tagging and Diffusion Tensor Imaging
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging
Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography
A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits
Overfitting of Neural Nets Under Class Imbalance: Analysis and Improvements for Segmentation
Investigating Voxel-Level Brain Age Prediction as a Pretext Task for Brain MRI Segmentation
Retrieval-Augmented VLMs for Multimodal Melanoma Diagnosis
A Landmark-Based Primal-Dual Approach for Discontinuity Preserving Registration
Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention
DVIA-Net: Dual-Path Video Information Aggregation Network for Anterior Chamber Angle Analysis
Retrospective Head Motion Estimation in Structural Brain MRI with 3D CNNs
CoC: Chain-of-Cancer Based on Cross-Modal Autoregressive Traction for Survival Prediction
Attention Mechanism-Based Deep Supervision Network for Abdominal Multi-organ Segmentation
Echo from Noise: Synthetic Ultrasound Image Generation Using Diffusion Models for Real Image Segmentation
LOCALITE - A Frameless Neuronavigation System for Interventional Magnetic Resonance Imaging Systems
Registration of Histopathology Images Using Self Supervised Fine Grained Feature Maps
AR Navigation System for Neurosurgery
Automatic Subcortical Segmentation Using a Contextual Model
Surgical Forces and Tactile Perception During Retinal Microsurgery
Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
AI-Driven Prediction of Treatment Efficacy in Glioblastoma Using Medical Imaging
Feature Classification for Tracking Articulated Surgical Tools
S3D-UNet: Separable 3D U-Net for Brain Tumor Segmentation
Towards Multi-scenario Generalization: Text-Guided Unified Framework for Low-Dose CT and Total-Body PET Reconstruction
MR Image Segmentation Using Phase Information and a Novel Multiscale Scheme
Robust Medical Images Segmentation Using Learned Shape and Appearance Models
Explainable Integrative Bipartite Graph Convolutional Neural Network for Predicting Ejection Fraction in Echocardiography
CFCM: Segmentation via Coarse to Fine Context Memory
Confounder-Aware Visualization of ConvNets
Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion
Shape-Based Interpolation of Porous and Tortuous Binary Objects
XIMIT - X-Ray Migration Measurement Using Implant Models and Image Templates
Learning-Guided Infinite Network Atlas Selection for Predicting Longitudinal Brain Network Evolution from a Single Observation
Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning
A Spherical Convolutional Neural Network for White Matter Structure Imaging via dMRI
Automatic Brain and Tumor Segmentation
A New, Compact MR-Compatible Surgical Manipulator for Minimally Invasive Liver Surgery
MR-Based Real Time Path Planning for Cardiac Operations with Transapical Access
Longitudinal Prediction of Radiation-Induced Anatomical Changes of Parotid Glands During Radiotherapy Using Deep Learning
External Clinical Validation of Prone and Supine CT Colonography Registration
Frequency-Mixed Single-Source Domain Generalization for Medical Image Segmentation
Interpretable Multimodality Embedding of Cerebral Cortex Using Attention Graph Network for Identifying Bipolar Disorder
Evaluation of Image Quality in Medical Volume Visualization: The State of the Art
Contour-Based TVUS-MR Image Registration for Mapping Small Endometrial Implants
Rician Noise Estimation for 3D Magnetic Resonance Images Based on Benford's Law
Topological Network Analysis of Electroencephalographic Power Maps
Cascade UNets for Kidney and Kidney Tumor Segmentation
Personalized 3D Myocardial Infarct Geometry Reconstruction from Cine MRI with Explicit Cardiac Motion Modeling
UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation
TESLA: Test-Time Reference-Free Through-Plane Super-Resolution for Multi-Contrast Brain MRI
Diffeomorphic Registration Using B-Splines
Brain Shift Correction Based on a Boundary Element Biomechanical Model with Different Material Properties
Towards Generalised Neural Implicit Representations for Image Registration
Precise Separation of Adjacent Nuclei Using a Siamese Neural Network
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images
Automated Segmentation of 3-D Spectral OCT Retinal Blood Vessels by Neural Canal Opening False Positive Suppression
MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging
Unified Geometry and Topology Correction for Cortical Surface Reconstruction with Intrinsic Reeb Analysis
Integrate Semantic Radiomics as Prior Evidence Into Evidential Deep Learning for Pelvic Lipomatosis Diagnosis
An Augmentation System for Fine Manipulation
Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett's Neoplasia Detection
High-Quality Model Generation for Finite Element Simulation of Tissue Deformation
MedICL: In-Context Learning for Semantically Enhanced AKI Prediction in Cardiac Surgery
Reducing Motion Artifacts in 3-D Breast Ultrasound Using Non-linear Registration
Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning
Sparse Representation Using Block Decomposition for Characterization of Imaging Patterns
TAAL: Test-Time Augmentation for Active Learning in Medical Image Segmentation
Weakly-Supervised Lesion Detection in Video Capsule Endoscopy Based on a Bag-of-Colour Features Model
Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network
Vol2Flow: Segment 3D Volumes Using a Sequence of Registration Flows
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss
Ultrafast Labeling for Multiplexed Immunobiomarkers from Label-free Fluorescent Images
Spatiotemporal Analysis of Structural Changes of the Lamina Cribrosa
Visionerves: Automatic and Reproducible Hybrid AI for Peripheral Nervous System Recognition Applied to Endometriosis Cases
Homomorphic Filtering of DT-MRI Fields
Learning Directional Feature Maps for Cardiac MRI Segmentation
YONA: You Only Need One Adjacent Reference-Frame for Accurate and Fast Video Polyp Detection
Multimodal Learning for Clinical Decision Support - 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
Computer-Aided Detection and Quantification of Intracranial Aneurysms
Soft-Body Registration of Pre-operative 3D Models to Intra-operative RGBD Partial Body Scans
A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI
On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI
Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network
IntellEditS: Intelligent Learning-Based Editor of Segmentations
Inferring 3D Kinematics of Carpal Bones from Single View Fluoroscopic Sequences
Towards Self-explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows
Fully Automated Pancreas Segmentation with Two-Stage 3D Convolutional Neural Networks
Diabetic Foot Ulcers Grand Challenge - Third Challenge, DFUC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Cellular Architecture on Whole Slide Images Allows the Prediction of Survival in Lung Adenocarcinoma
Towards Field-Ready AI-Based Malaria Diagnosis: A Continual Learning Approach
Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
Segmentation of Bone in Clinical Knee MRI Using Texture-Based Geodesic Active Contours
A Deep Transfer Learning Framework for 3D Brain Imaging Based on Optimal Mass Transport
Group Sparsity Constrained Automatic Brain Label Propagation
Fine-Grained Rib Fracture Diagnosis with Hyperbolic Embeddings: A Detailed Annotation Framework and Multi-label Classification Model
Reconstructing Sinus Anatomy from Endoscopic Video - Towards a Radiation-Free Approach for Quantitative Longitudinal Assessment
MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent Pseudo-Modalities
Classification of Osteoporotic Vertebral Fractures Using Shape and Appearance Modelling
Atlas-Based Automated Segmentation of Spleen and Liver Using Adaptive Enhancement Estimation
MGG-Net: A Multi-modal Feature Extraction and Global-Aware Feature Graph-Based Deep Learning Network for MGMT Status Classification in Glioma
Deformable Ultrasound Registration without Reconstruction
Unsupervised Domain Adaptation Using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation
Complex Fully Convolutional Neural Networks for MR Image Reconstruction
Non-local Graph-Based Regularization for Deformable Image Registration
Volumetric Shape Model for Oriented Tubular Structure from DTI Data
A Novel Interoperable Safety System for Improved Coordination and Communication in Cardiac Surgery
Fully Automatic CT Segmentation for Computer-Assisted Pre-operative Planning of Hip Arthroscopy
Learning from Experts: Developing Transferable Deep Features for Patient-Level Lung Cancer Prediction
Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation
ProxiMO: Proximal Multi-operator Networks for Quantitative Susceptibility Mapping
Automatic Robust Medical Image Registration Using a New Democratic Vector Optimization Approach with Multiple Measures
Structured Outlier Detection in Neuroimaging Studies with Minimal Convex Polytopes
4D MR Imaging Using Internal Respiratory Gating
Nonmetallic Rigid-Flexible Outer Sheath with Pneumatic Shapelocking Mechanism and Double Curvature Structure
Hierarchical Generative Modeling and Monte-Carlo EM in Riemannian Shape Space for Hypothesis Testing
D-net: Siamese Based Network for Arbitrarily Oriented Volume Alignment
MRI Breast Tissue Segmentation Using nnU-Net for Biomechanical Modeling
Estimating 2D Keypoints of Surgical Tools Using Vision-Language Models with Low-Rank Adaptation
Weakly Supervised Segmentation by Tensor Graph Learning for Whole Slide Images
Gradient Projection Learning for Parametric Nonrigid Registration
Standardised Framework to Study the Influence of Left Atrial RF Catheter Ablation Parameters on Permanent Lesion Formation
NAS-SCAM: Neural Architecture Search-Based Spatial and Channel Joint Attention Module for Nuclei Semantic Segmentation and Classification
Patient-Specific Parameter Estimation for a Transversely Isotropic Active Strain Model of Left Ventricular Mechanics
Meta Corrupted Pixels Mining for Medical Image Segmentation
Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences?
Lung Cancer Tumor Region Segmentation Using Recurrent 3D-DenseUNet
Weakly Supervised Localisation for Fetal Ultrasound Images
Surface Registration for Use in Interactive Image-Guided Liver Surgery
Rank Constrained Diffeomorphic Density Motion Estimation for Respiratory Correlated Computed Tomography
Automatic Multi-organ Segmentation Using Learning-Based Segmentation and Level Set Optimization
Live-Vessel: Extending Livewire for Simultaneous Extraction of Optimal Medial and Boundary Paths in Vascular Images
MaskedCLIP: Bridging the Masked and CLIP Space for Semi-supervised Medical Vision-Language Pre-training
F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction
Deep Learning-Based Pneumothorax Detection in Ultrasound Videos
An Image Retrieval Approach to Setup Difficulty Levels in Training Systems for Endomicroscopy Diagnosis
Multi-shot Prototype Contrastive Learning and Semantic Reasoning for Medical Image Segmentation
Coupled Sparse Dictionary for Depth-Based Cup Segmentation from Single Color Fundus Image
Registration of Brainstem Surfaces in Adolescent Idiopathic Scoliosis Using Discrete Ricci Flow
Efficient Global Optimization Based 3D Carotid AB-LIB MRI Segmentation by Simultaneously Evolving Coupled Surfaces
Myocardial Motion Estimation in Tagged MR Sequences by Using alpha MI-Based Non Rigid Registration
RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data
Lightweight and Accurate: ShuffleNet for Diabetic Retinopathy and EfficientNet for Diabetic Macular Edema Diagnosis
The Cardiac Atlas Project: Development of a Framework Integrating Cardiac Images and Models
Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint
Atlas-Based 3D Intensity Volume Reconstruction of Musculoskeletal Structures in the Lower Extremity from 2D Calibrated X-Ray Images
Recursive Green's Function Registration
A Cascaded Refinement GAN for Phase Contrast Microscopy Image Super Resolution
Cellular Automata Segmentation of Brain Tumors on Post Contrast MR Images
A Submodular Approach to Create Individualized Parcellations of the Human Brain
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation
Adaption of 3D Models to 2D X-Ray Images during Endovascular Abdominal Aneurysm Repair
A Semantic-Guided and Knowledge-Based Generative Framework for Orthodontic Visual Outcome Preview
Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning