Image de couverture de livre

Manifold Topological Deep Learning for Biomedical Data

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Xiang, Su, Zhe, Shi, Yongyi, Tong, Yiying, Wang, Ge, Wei, Guo-Wei
Format:	Preprint
Publié:	2025
Sujets:	Image and Video Processing Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Deep Learning Meets SAR
par: Zhu, Xiao Xiang, et autres
Publié: (2020)

From Tissue Plane to Organ World: A Benchmark Dataset for Multimodal Biomedical Image Registration using Deep Co-Attention Networks
par: Wang, Yifeng, et autres
Publié: (2024)

Method and Software Tool for Generating Artificial Databases of Biomedical Images Based on Deep Neural Networks
par: Berezsky, Oleh, et autres
Publié: (2024)

Universal Latent Homeomorphic Manifolds: A Framework for Cross-Domain Representation Unification
par: Wu, Tong, et autres
Publié: (2026)

Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI
par: Wang, Zi, et autres
Publié: (2024)

Additive Tensor Decomposition Considering Structural Data Information
par: Mou, Shancong, et autres
Publié: (2020)

Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging
par: Weiser, Paul, et autres
Publié: (2024)

Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification
par: Qu, Liang, et autres
Publié: (2024)

PET-TURTLE: Deep Unsupervised Support Vector Machines for Imbalanced Data Clusters
par: Cavazos, Javier Salazar
Publié: (2026)

Deep Learning for Accelerated and Robust MRI Reconstruction: a Review
par: Heckel, Reinhard, et autres
Publié: (2024)

DiSC-Med: Diffusion-based Semantic Communications for Robust Medical Image Transmission
par: Guo, Fupei, et autres
Publié: (2025)

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture
par: Cheng, Cheng, et autres
Publié: (2025)

CutisAI: Deep Learning Framework for Automated Dermatology and Cancer Screening
par: Kaushik, Rohit, et autres
Publié: (2026)

Universal Spectral Transfer with Physical Prior-Informed Deep Generative Learning
par: Zhu, Yanmin, et autres
Publié: (2024)

Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models
par: Liu, Houze, et autres
Publié: (2024)

Remote Sensing Semantic Segmentation Quality Assessment based on Vision Language Model
par: Shi, Huiying, et autres
Publié: (2025)

CT Radiomics-Based Explainable Machine Learning Model for Accurate Differentiation of Malignant and Benign Endometrial Tumors: A Two-Center Study
par: Zhang, Tingrui, et autres
Publié: (2025)

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
par: Shoeibi, Afshin, et autres
Publié: (2020)

Combining Hough Transform and Deep Learning Approaches to Reconstruct ECG Signals From Printouts
par: Krones, Felix, et autres
Publié: (2024)

Joint Segmentation and Image Reconstruction with Error Prediction in Photoacoustic Imaging using Deep Learning
par: Shang, Ruibo, et autres
Publié: (2024)

UniRestore: Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Prior
par: Chen, I-Hsiang, et autres
Publié: (2025)

A Deep Learning-Driven Pipeline for Differentiating Hypertrophic Cardiomyopathy from Cardiac Amyloidosis Using 2D Multi-View Echocardiography
par: Peng, Bo, et autres
Publié: (2024)

Fast Controllable Diffusion Models for Undersampled MRI Reconstruction
par: Jiang, Wei, et autres
Publié: (2023)

Three-Dimensional, Multimodal Synchrotron Data for Machine Learning Applications
par: Green, Calum, et autres
Publié: (2024)

On-Device Super Resolution Imaging Using Low-Cost SPAD Array and Embedded Lightweight Deep Learning
par: Zang, Zhenya, et autres
Publié: (2026)

Synthetic Skull CT Generation with Generative Adversarial Networks to Train Deep Learning Models for Clinical Transcranial Ultrasound
par: Naftchi-Ardebili, Kasra, et autres
Publié: (2023)

Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification
par: Huang, Yuning, et autres
Publié: (2024)

Zero-Shot Low-dose CT Denoising via Sinogram Flicking
par: Shi, Yongyi, et autres
Publié: (2025)

Tomographic Foundation Model -- FORCE: Flow-Oriented Reconstruction Conditioning Engine
par: Xia, Wenjun, et autres
Publié: (2025)

Adapting HFMCA to Graph Data: Self-Supervised Learning for Generalizable fMRI Representations
par: Frac, Jakub, et autres
Publié: (2025)

Geometric Deep Learning for Automated Landmarking of Maxillary Arches on 3D Oral Scans from Newborns with Cleft Lip and Palate
par: Agaronyan, Artur, et autres
Publié: (2025)

Topology-Preserving Deep Joint Source-Channel Coding for Semantic Communication
par: Erak, Omar, et autres
Publié: (2026)

ForcingDAS: Unified and Robust Data Assimilation via Diffusion Forcing
par: Jia, Yixuan, et autres
Publié: (2026)

Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS
par: Ahmad, Afzal, et autres
Publié: (2024)

GAN-based Domain Adaptation for Image-aware Layout Generation in Advertising Poster Design
par: Xu, Chenchen, et autres
Publié: (2026)

Mind Your Vision: Multimodal Estimation of Refractive Disorders Using Electrooculography and Eye Tracking
par: Wei, Xin, et autres
Publié: (2025)

Epidemic Forecasting with a Hybrid Deep Learning Method Using CNN-LSTM With WOA-GWO Parameter Optimization: Global COVID-19 Case Study
par: Alizadeh, Mousa, et autres
Publié: (2025)

Super Resolution Based on Deep Operator Networks
par: Yang, Siyuan
Publié: (2024)

Deep Temporal Sequence Classification and Mathematical Modeling for Cell Tracking in Dense 3D Microscopy Videos of Bacterial Biofilms
par: Toma, Tanjin Taher, et autres
Publié: (2024)

Incomplete Graph Learning: A Comprehensive Survey
par: Xia, Riting, et autres
Publié: (2025)