yusuke1997/dblp-id-title huggingface dataset:
Supervised Contrastive Pre-training forMammographic Triage Screening Models
Fast Globally Optimal Segmentation of Cells in Fluorescence Microscopy Images
Image Diffusion Using Saliency Bilateral Filter
Genomics-Guided Representation Learning for Pathologic Pan-Cancer Tumor Microenvironment Subtype Prediction
Ideal Midsagittal Plane Detection Using Deep Hough Plane Network for Brain Surgical Planning
Prompting Vision-Language Models for Dental Notation Aware Abnormality Detection
Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging
AEM: Attention Entropy Maximization for Multiple Instance Learning Based Whole Slide Image Classification
Correspondence Detection Using Wavelet-Based Attribute Vectors
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos
PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-contrast CT Scans
Fast Mapping of the Eloquent Cortex by Learning L2 Penalties
Longitudinal Brain MRI Analysis with Uncertain Registration
Shape Representation via Best Orthogonal Basis Selection
Estimation of Preterm Birth Markers with U-Net Segmentation Network
Robust Kernel Methods for Sparse MR Image Reconstruction
Intensity-Based Volumetric Registration of Contrast-Enhanced MR Breast Images
Robust 3D Segmentation of Pulmonary Nodules in Multislice CT Images
Hand-Held Force Magnifier for Surgical Instruments: Evolution toward a Clinical Device
Vessel Orientation Constrained Quantitative Susceptibility Mapping (QSM) Reconstruction
A Mechanical, Three-Dimensional, Ultrasound-Guided Breast Biopsy Apparatus
Efficient Groupwise Registration for Brain MRI by Fast Initialization
3D Heart Reconstruction from Sparse Pose-Agnostic 2D Echocardiographic Slices
HARDI Based Pattern Classifiers for the Identification of White Matter Pathologies
Asynchronous Multi-modal Learning for Dynamic Risk Monitoring of Acute Respiratory Distress Syndrome in Intensive Care Units
A Diagnostic Report Generator from CT Volumes on Liver Tumor with Semi-supervised Attention Mechanism
CLEF: Contrastive Learning of Equivariant Features in CT Images
3D/2D Registration via Skeletal Near Projective Invariance in Tubular Objects
HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis
Flexible Calibration of Actuated Stereoscopic Endoscope for Overlay in Robot Assisted Surgery
Enhanced Scale-Aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling
Percutaneous Pedicle Cannulation: An in-vitro Study Assessing Clinical Expertise versus Technology
SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI
An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma
Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification
Segmentation of Paraspinal Muscles at Varied Lumbar Spinal Levels by Explicit Saliency-Aware Learning
Comparative Analysis of Magnetic Resonance Fingerprinting Dictionaries via Dimensionality Reduction
Combining Heterogeneously Labeled Datasets For Training Segmentation Networks
Weakly Supervised Deep Learning for Breast Cancer Segmentation with Coarse Annotations
BMD-GAN: Bone Mineral Density Estimation Using X-Ray Image Decomposition into Projections of Bone-Segmented Quantitative Computed Tomography Using Hierarchical Learning
Inverse Distance Aggregation for Federated Learning with Non-IID Data
Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning
WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-contrast MRI Super-Resolution
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification
Estimation of Labor Progress Parameters on Intrapartum Transperineal Ultrasound Images via Multi-path Refinement U-Net Combining Recurrent Residuals and Attention
Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-lesion Aggregation
Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge
UOLO - Automatic Object Detection and Segmentation in Biomedical Images
Hemodynamic in Aortic Coarctation Using MRI-Based Inflow Condition
Atlas-Based Segmentation of the Human Embryo Using Deep Learning with Minimal Supervision
FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part II
Enhancing Malaria-Infected Red Blood Cell Detection with Domain-Aware Generative Augmentation
Learning Incrementally to Segment Multiple Organs in a CT Image
Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis
Deep Learning-Based Head and Neck Radiotherapy Planning Dose Prediction via Beam-Wise Dose Decomposition
DISBELIEVE: Distance Between Client Models Is Very Essential for Effective Local Model Poisoning Attacks
Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data
GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation
Robust Cortical Thickness Measurement with LOGISMOS-B
Decoding Task States by Spotting Salient Patterns at Time Points and Brain Regions
3D Stent Recovery from One X-Ray Projection
Controllable Cardiac Synthesis via Disentangled Anatomy Arithmetic
A Prototype Representation to Approximate White Matter Bundles with Weighted Currents
Few-Shot Medical Image Segmentation via a Region-Enhanced Prototypical Transformer
Experimental Protocol for Accuracy Evaluation of 6-d Localizers for Computer-Integrated Surgery: Application to Four Optical Localizers
Vessel-Aware Aneurysm Detection Using Multi-scale Deformable 3D Attention
Accurate and Efficient Linear Structure Segmentation by Leveraging Ad Hoc Features with Learned Filters
Myocardial Segmentation Using Contour-Constrained Optical Flow Tracking
Vessel Segmentation via Link Prediction of Graph Neural Networks
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment
Fully Automated Segmentation of Fiber Bundles in Anatomic Tracing Data
From Tissue to Sound: Model-Based Sonification of Medical Imaging
BaMCo: Balanced Multimodal Contrastive Learning for Knowledge-Driven Medical VQA
OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis - First International Workshop, OR 2.0 2018, 5th International Workshop, CARE 2018, 7th International Workshop, CLIP 2018, Third International Workshop, ISIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings
Out-of-Plane Motion Compensation in Cine-MRI
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays
Rapidly Adaptive Cell Detection Using Transfer Learning with a Global Parameter
Semi-parametric Analysis of Dynamic Contrast-Enhanced MRI Using Bayesian P-Splines
Computer-Assisted and Robotic Endoscopy - First International Workshop, CARE 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers
Brain MR Image Segmentation Using Local and Global Intensity Fitting Active Contours/Surfaces
CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment
CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography
A Method for the Context-Aware Assignment of Medical Device Functions to Input Devices in Integrated Operating Rooms
Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings
Lung Texture Classification Using Locally-Oriented Riesz Components
TLRN: Temporal Latent Residual Networks for Large Deformation Image Registration
PAMIL: Prototype Attention-Based Multiple Instance Learning for Whole Slide Image Classification
Tracer Kinetic Modeling by Morales-Smith Hypothesis in Hepatic Perfusion CT
Self Super-Resolution for Magnetic Resonance Images
Automated Nuclear Segmentation of Coherent Anti-Stokes Raman Scattering Microscopy Images by Coupling Superpixel Context Information with Artificial Neural Networks
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning
Inertial Demons: A Momentum-Based Diffeomorphic Registration Framework
Biophysical Modeling of Intra-Voxel Incoherent Motion (IVIM) MRI Based on Realistic Cerebral Microvascular Anatomy and Dynamics in Mouse and Human Brain
Shape Prior Model for Media-Adventitia Border Segmentation in IVUS Using Graph Cut
Non-invasive Image-Based Approach for Early Detection of Acute Renal Rejection
A Bayesian Approach to Weakly-Supervised Laparoscopic Image Segmentation
Vessel Segmentation Using a Shape Driven Flow
OnlyCaps-Net, a Capsule only Based Neural Network for 2D and 3D Semantic Segmentation
Semi-supervised Abdominal Organ and Pan-Cancer Segmentation with Efficient nnU-Net
SurgicalGaussian: Deformable 3D Gaussians for High-Fidelity Surgical Scene Reconstruction
Neuro-AMS: Neuro-Informed Age-Aware and Medical Knowledge-Integrated Strategy for Diagnosis of Multiple Brain Disorders
TransNuSeg: A Lightweight Multi-task Transformer for Nuclei Segmentation
Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network
A Hierarchical Scheme for Geodesic Anatomical Labeling of Airway Trees
Automated Feedback System for Surgical Skill Improvement in Endoscopic Sinus Surgery
Imaging-Based Mortality Prediction in Patients with Systemic Sclerosis
MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision
Hexapod Intervention Planning for a Robotic Skull-Base Surgery System
Locate, Crop and Segment: Efficient Abdominal CT Image Segmentation on CPU
Eddeep: Fast Eddy-Current Distortion Correction for Diffusion MRI with Deep Learning
Advancing Sensorless Freehand 3D Ultrasound Reconstruction with a Novel Coupling Pad
Longitudinal Cortical Registration for Developing Neonates
Feature Robustness and Sex Differences in Medical Imaging: A Case Study in MRI-Based Alzheimer's Disease Detection
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction
A2FSeg: Adaptive Multi-modal Fusion Network for Medical Image Segmentation
Towards Automatic Semantic Segmentation in Volumetric Ultrasound
Three-Dimensional Measurement of the Femur Using Clinical Ultrasound: Developing a Basis for Image Guided Intramedullary Nail Fixation of the Femur
The Empirical Variance Estimator for Computer Aided Diagnosis: Lessons for Algorithm Validation
Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images
3D U-net with Multi-level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR Images
Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization
Semantic Image Synthesis for Abdominal CT
Interactive Whole-Heart Segmentation in Congenital Heart Disease
Adversarial Regression Training for Visualizing the Progression of Chronic Obstructive Pulmonary Disease with Chest X-Rays
Targeted False Positive Synthesis via Detector-Guided Adversarial Diffusion Attacker for Robust Polyp Detection
On the Relevance of the Loss Function in the Agatston Score Regression from Non-ECG Gated CT Scans
Matching Functional Connectivity Patterns for Spatial Correspondence Detection in fMRI Registration
Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis
A Noisy nnU-Net Student for Semi-supervised Abdominal Organ Segmentation
A Bayes Hilbert Space for Compartment Model Computing in Diffusion MRI
DualTrack: Sensorless 3D Ultrasound needs Local and Global Context
RPTK: The Role of Feature Computation on Prediction Performance
Temporal-Spatial Adaptation of Promptable SAM Enhance Accuracy and Generalizability of Cine CMR Segmentation
Task-Optimal Registration Cost Functions
High-Quality Virtual Single-Viewpoint Surgical Video: Geometric Autocalibration of Multiple Cameras in Surgical Lights
Rician Noise Removal by Non-Local Means Filtering for Low Signal-to-Noise Ratio MRI: Applications to DT-MRI
Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization
Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping
D 2 MAE: Diffusional Deblurring MAE for Ultrasound Image Pre-training
Consistency-Preserving Visual Question Answering in Medical Imaging
Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhancing MR Breast Images
Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory
An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features
M U-Net: Intestine Segmentation Using Multi-dimensional Features for Ileus Diagnosis Assistance
BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video
Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video
Robotic Assistant for Transperineal Prostate Interventions in 3T Closed MRI
Data Weighting for Principal Component Noise Reduction in Contrast Enhanced Ultrasound
Generation of Patient-Specific 3D Cardiac Chamber Models for Real-Time Guidance in Cardiac Ablation Procedures
Accurate and High Quality Triangle Models from 3D Grey Scale Images
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images
Learned Deep Radiomics for Survival Analysis with Attention
Semi-supervised Segmentation Using Multiple Segmentation Hypotheses from a Single Atlas
Modality-Aware Mutual Learning for Multi-modal Medical Image Segmentation
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging
Needle Insertion Modelling for the Interactive Simulation of Percutaneous Procedures
Progressive Knowledge Distillation for Automatic Perfusion Parameter Maps Generation from Low Temporal Resolution CT Perfusion Images
OsteoDeform: Osteophyte-Aware Shape Deformations of Distal Femur Models for Surgical Planning in Total Knee Arthroplasty
A Novel Intensity Similarity Metric with Soft Spatial Constraint for a Deformable Image Registration Problem in Radiation Therapy
Navigational Bronchoscopy in Critical Care via End-to-End Pose Regression
Instance-Aware Feature Alignment for Cross-Domain Cell Nuclei Detection in Histopathology Images
Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis
Leveraging Labeling Representations in Uncertainty-Based Semi-supervised Segmentation
Mt-UcGAN: Multi-task Uncertainty-Constrained GAN for Joint Segmentation, Quantification and Uncertainty Estimation of Renal Tumors on CT
Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature
A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images
Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor Segmentation
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection
Dynamic Volume Reconstruction from Multi-slice Abdominal MRI Using Manifold Alignment
Streamline Flows for White Matter Fibre Pathway Segmentation in Diffusion MRI
Abdominal Multi-organ CT Segmentation Using Organ Correlation Graph and Prediction-Based Shape and Location Priors
Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain
Cerebral Blood Volume Prediction Based on Multi-modality Magnetic Resonance Imaging
Uncertainty Aware Deep Reinforcement Learning for Anatomical Landmark Detection in Medical Images
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)
Biomarkers for Identifying First-Episode Schizophrenia Patients Using Diffusion Weighted Imaging
Semantic Consistent Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation
Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation
Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography
DME-MobileNet: Fine-Tuning nnMobileNet for Diabetic Macular Edema Classification
MedXpert-CAD: A Multimodal Multi-agentic System for Clinical Imaging Analysis via Model Context Protocol LLM-Driven Agentic Workflows
Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery - First MICCAI Workshop, AIIIMA 2022, and First MICCAI Workshop, MIABID 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings
Data Augmentation in Logit Space for Medical Image Classification with Limited Training Data
Nuclear Segmentation and Classification: On Color and Compression Generalization
Semantic 3-D Labeling of Ear Implants Using a Global Parametric Transition Prior
CircleNet: Anchor-Free Glomerulus Detection with Circle Representation
Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates
Knowledge-Based Classification of Neuronal Fibers in Entire Brain
Three-Dimensional Reconstruction and Surgical Navigation in Pediatric Epilepsy Surgery
FDA's PCCP: Opportunities and Gaps
Evaluating Perceived Workload, Usability and Usefulness of Artificial Intelligence Systems in Low-Resource Settings: Semi-automated Classification and Detection of Community Acquired Pneumonia
Encoder-Decoder Attention Network for Lesion Segmentation of Diabetic Retinopathy
V-FCNN: Volumetric Fully Convolution Neural Network for Automatic Atrial Segmentation
MBFF-Net: Multi-Branch Feature Fusion Network for Carotid Plaque Segmentation in Ultrasound
Patient-Specific Simulation of Implant Placement and Function for Cochlear Implantation Surgery Planning
Five Pitfalls When Assessing Synthetic Medical Images with Reference Metrics
Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds
Automated Head and Neck Tumor Segmentation from 3D PET/CT HECKTOR 2022 Challenge Report
Phenotype Detection in Morphological Mutant Mice Using Deformation Features
Pathology Foundation Models Are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss
Improving Boundary Classification for Brain Tumor Segmentation and Longitudinal Disease Progression
Multi-expert Collaboration and Knowledge Enhancement Network for Multimodal Emotion Recognition
Feature Extraction with Intrinsic Distortion Correction in Celiac Disease Imagery: No Need for Rasterization
DiffAtlas: GenAI-Fying Atlas Segmentation via Image-Mask Diffusion
Tree Representation and Implicit Tree Matching for a Coarse to Fine Image Matching Algorithm
A Stochastic Linear Model for fMRI Activation Analyses
Brain Volume and Neuropsychological Differences in Extremely Preterm Adolescents
Prototypical Interaction Graph for Unsupervised Domain Adaptation in Surgical Instrument Segmentation
Prediction of HPV-Associated Genetic Diversity for Squamous Cell Carcinoma of Head and Neck Cancer Based on 18 F-FDG PET/CT
MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET
Multi-Level Parcellation of the Cerebral Cortex Using Resting-State fMRI
WarpEM: Dynamic Time Warping for Accurate Catheter Registration in EM-Guided Procedures
SWTV-ACE: Spatially Weighted Regularization Based Attenuation Coefficient Estimation Method for Hepatic Steatosis Detection
Towards Multi-Directional OCT for Speckle Noise Reduction
Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning
Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck Cancer
Reconstruction of Patient-Specific 3D Bone Surface from 2D Calibrated Fluoroscopic Images and Point Distribution Model
On Simulating Subjective Evaluation Using Combined Objective Metrics for Validation of 3D Tumor Segmentation
Hierarchical Multi-class Segmentation of Glioma Images Using Networks with Multi-level Activation Function
D3MC: A Reinforcement Learning Based Data-Driven Dyna Model Compression
Learnable Oriented-Derivative Network for Polyp Segmentation
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-Guided Context Optimization
Pre-biopsy Multi-class Classification of Breast Lesion Pathology in Mammograms
Estimation of Ground-Glass Opacity Measurement in CT Lung Images
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models
Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization
An Inclusive Task-Aware Framework for Radiology Report Generation
Automatic Identification and Localization of Craniofacial Landmarks Using Multi Layer Neural Network
Deep Selection: A Fully Supervised Camera Selection Network for Surgery Recordings
BM-SMIL: A Breast Cancer Molecular Subtype Prediction Framework from H&E Slides with Self-supervised Pretraining and Multi-instance Learning
Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis
Statistical Modeling of Pairs of Sulci in the Context of Neuroimaging Probabilistic Atlas
Enhancing Domain Generalization for Cardiac Image Segmentation with Probabilistic Perturbation
Divergence-Aware Training with Automatic Subgroup Mitigation for Breast Tumor Segmentation
Selection of Optimal Hyper-Parameters for Estimation of Uncertainty in MRI-TRUS Registration of the Prostate
BGDiffSeg: A Fast Diffusion Model for Skin Lesion Segmentation via Boundary Enhancement and Global Recognition Guidance
A New Benchmark for Shape Correspondence Evaluation
A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer's Disease
Interventional Radiology Robot for CT and MRI Guided Percutaneous Interventions
QuIIL at T3 Challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View
Distilling BlackBox to Interpretable Models for Efficient Transfer Learning
Fiber Density Estimation by Tensor Divergence
Predicting Femoral Head Collapse Risk in Osteonecrosis Using Label Tokenization: A Multi-modality Survival Analysis Approach
Affine Transformations and Atlases: Assessing a New Navigation Tool for Knee Arthroplasty
Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapy
Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning
Graph Reasoning and Shape Constraints for Cardiac Segmentation in Congenital Heart Defect
Computer-Assisted Diagnosis of Lung Cancer Using Quantitative Topology Features
Combining Automated Image Analysis with Obstetric Sweeps for Prenatal Ultrasound Imaging in Developing Countries
Better Fiber ODFs from Suboptimal Data with Autoencoder Based Regularization
Interactive Generation of Laparoscopic Videos with Diffusion Models
Clinical Implementation of DeepVoxNet for Auto-Delineation of Organs at Risk in Head and Neck Cancer Patients in Radiotherapy
A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging
Morph-Net: End-to-End Prediction of Nuclear Morphological Features from Histology Images
Learning Foundation Models from Multi-organ Medical Images by Capturing Consistency and Diversity of Anatomical Structures
Focal Dice Loss and Image Dilation for Brain Tumor Segmentation