CVAMD21
* *Computer Vision for Automated Medical Diagnosis
* BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis
* Deep Frequency Re-calibration U-Net for Medical Image Segmentation
* DMNet: Dual-Stream Marker Guided Deep Network for Dense Cell Segmentation and Lineage Tracking
* Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry, A
* EfficientARL: improving skin cancer diagnoses by combining lightweight attention on EfficientNet
* End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI
* Generalizing Few-Shot Classification of Whole-Genome Doubling Across Cancer Types
* Graph Cuts Loss to Boost Model Accuracy and Generalizability for Medical Image Segmentation
* Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images
* Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks
* Medical Image Classification Using Generalized Zero Shot Learning
* MedSkip: Medical Report Generation Using Skip Connections and Integrated Attention
* Multi-scanner Harmonization of Paired Neuroimaging Data via Structure Preserving Embedding Learning
* Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors
* SOoD: Self-Supervised Out-of-Distribution Detection Under Domain Shift for Multi-Class Colorectal Cancer Tissue Types
* Studying the Effects of Self-Attention for Medical Image Analysis
* Style Transfer based Coronary Artery Segmentation in X-ray Angiogram
* Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement
* Unsupervised 3D Shape Coverage Estimation with Applications to Colonoscopy
* VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers
21 for CVAMD21
CVAMIA06
* *Computer Vision Approaches to Medical Image Analysis
* 3-D Ultrasound Probe Calibration for Computer-Guided Diagnosis and Therapy
* Accurate Measurement of Cartilage Morphology Using a 3D Laser Scanner
* Automatic Reconstruction of Dendrite Morphology from Optical Section Stacks
* Bony Structure Suppression in Chest Radiographs
* Comparative Analysis of Kernel Methods for Statistical Shape Learning
* Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI
* Consistent and Elastic Registration of Histological Sections Using Vector-Spline Regularization
* Detection of Connective Tissue Disorders from 3D Aortic MR Images Using Independent Component Analysis
* Fast Segmentation of the Mitral Valve Leaflet in Echocardiography
* Framework for Unsupervised Segmentation of Multi-modal Medical Images, A
* Image Registration Accuracy Estimation Without Ground Truth Using Bootstrap
* Integrated Algorithm for MRI Brain Images Segmentation, An
* Melanoma Recognition Using Representative and Discriminative Kernel Classifiers
* Minimally-Interactive Watershed Algorithm Designed for Efficient CTA Bone Removal, A
* Modeling the Activity Pattern of the Constellation of Cardiac Chambers in Echocardiogram Videos
* Quantification of Growth and Motion Using Non-rigid Registration
* Quasi-conformal Flat Representation of Triangulated Surfaces for Computerized Tomography
* Segmentation of Dynamic Emission Tomography Data in Projection Space
* SIFT and Shape Context for Feature-Based Nonlinear Registration of Thoracic CT Images
* Spatial Intensity Correction of Fluorescent Confocal Laser Scanning Microscope Images
* Study on the Influence of Image Dynamics and Noise on the JPEG 2000 Compression Performance for Medical Images, A
* Three Dimensional Tissue Classifications in MR Brain Images
23 for CVAMIA06