Table of Contents:
“…Function MRI Representation Learning via Self-Supervised Transformer for Automated Brain Disorder Analysis -- Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images using Deep Learning -- Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction -- Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation -- Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN -- 3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient -- A More Design-flexible Medical Transformer for Volumetric Image Segmentation -- Dcor-VLDet: A Vertebra Landmark Detection Network for Scoliosis Assessment with Dual Coordinate System -- Plug-and-play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping -- A Coarse-To-Fine Network for Craniopharyngioma Segmentation -- Patch-level instance-group
discrimination with pretext-invariant learning for colitis scoring -- AutoMO-Mixer: An automated multi-objective Mixer model for balanced, safe and robust prediction in medicine -- Memory transformers for full context and high-resolution 3D Medical Segmentation -- Whole Mammography Diagnosis via Multi-instance Supervised
Discriminative Localization and Classification -- Cross Task Temporal Consistency for Semi Supervised Medical Image Segmentation -- U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration -- UNet-eVAE: Iterative refinement using VAE embodied learning for endoscopic image segmentation -- Dynamic Linear Transformer for 3D Biomedical Image Segmentation -- Automatic Grading of Emphysema by Combining 3D Lung Tissue Appearance and Deformation Map Using a Two-stream Fully Convolutional Neural Network -- A Novel Two-Stage Multi-View Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship between Brain Function and Structure -- Fast Image-Level MRI Harmonization via Spectrum Analysis -- CT2CXR: CT-based CXR Synthesis for Covid-19 Pneumonia Classification -- Harmonization of Multi-Site Cortical Data Across the Human Lifespan -- Head and neck vessel segmentation with connective topology using affinity graph -- Coarse Retinal Lesion Annotations Refinement via Prototypical Learning -- Nuclear Segmentation and Classification: On Color & Compression Generalization -- Understanding Clinical Progression of Late-Life Depression to Alzheimers Disease Over 5 Years with Structural MRI -- ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition -- Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition -- Driving Points Prediction For Abdominal Probabilistic Registration -- CircleSnake: Instance Segmentation with Circle Representation -- Vertebrae localization, segmentation and identification using a graph optimization and an anatomic consistency cycle -- Coronary Ostia Localization Using Residual U-Net with Heatmap Matching and 3D DSNT -- AMLP-Conv, a 3D Axial Long-range Interaction Multilayer Perceptron for CNNs -- Neural State-Space Modeling with Latent Causal-Effect Disentanglement -- Adaptive Unified Contrastive Learning for Imbalanced Classification -- Prediction of HPV-Associated Genetic Diversity for Squamous Cell Carcinoma of Head and Neck Cancer based on 18F-FDG PET/CT -- TransWS: Transformer-based Weakly Supervised Histology Image Segmentation -- Contextual Attention Network: Transformer Meets U-Net -- Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis -- A New Lightweight Architecture and a Class Imbalance Aware Loss Function for Multi-label Classification of Intracranial Hemorrhages -- Spherical Transformer on Cortical Surfaces -- Accurate localization of inner ear regions of interests using deep reinforcement learning -- Shifted Windows Transformers for Medical Image Quality Assessment -- Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-angle Glaucoma Prediction -- HealNet - Self-Supervised Acute Wound Heal-Stage Classification -- Federated Tumor Segmentation with Patch-wise Deep Learning Model -- Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation.…”
Call Number: TA1634
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