Copertina

SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pan, Liangrui, Peng, Yijun, Li, Yan, Wang, Xiang, Liu, Wenjuan, Xu, Liwen, Liang, Qingchun, Peng, Shaoliang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival
di: Pan, Liangrui, et al.
Pubblicazione: (2024)

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer
di: Pan, Liangrui, et al.
Pubblicazione: (2024)

DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data
di: Pan, Liangrui, et al.
Pubblicazione: (2023)

MGTUNet: An new UNet for colon nuclei instance segmentation and quantification
di: Pan, Liangrui, et al.
Pubblicazione: (2022)

SMILE: a Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis
di: Pan, Liangrui, et al.
Pubblicazione: (2025)

Opportunities and challenges in the application of large artificial intelligence models in radiology
di: Pan, Liangrui, et al.
Pubblicazione: (2024)

PathGene: Benchmarking Driver Gene Mutations and Exon Prediction Using Multicenter Lung Cancer Histopathology Image Dataset
di: Pan, Liangrui, et al.
Pubblicazione: (2025)

FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation
di: Pan, Liangrui, et al.
Pubblicazione: (2024)

DLiPath: A Benchmark for the Comprehensive Assessment of Donor Liver Based on Histopathological Image Dataset
di: Pan, Liangrui, et al.
Pubblicazione: (2025)

STAMP: Multi-pattern Attention-aware Multiple Instance Learning for STAS Diagnosis in Multi-center Histopathology Images
di: Pan, Liangrui, et al.
Pubblicazione: (2025)

Diffusion Attention Expert Model for Predicting and Semi-automatic Localizing STAS in Lung Cancer Histopathological Images
di: Pan, Liangrui, et al.
Pubblicazione: (2026)

Anatomically-guided masked autoencoder pre-training for aneurysm detection
di: Ceballos-Arroyo, Alberto Mario, et al.
Pubblicazione: (2025)

Upright adjustment with graph convolutional networks
di: Jung, Raehyuk, et al.
Pubblicazione: (2024)

Out-of-distribution evaluations of channel agnostic masked autoencoders in fluorescence microscopy
di: Hurry, Christian John, et al.
Pubblicazione: (2025)

Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network
di: Zhang, Dongran, et al.
Pubblicazione: (2024)

ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learning
di: Zeng, Wenwu, et al.
Pubblicazione: (2023)

A 3D mesh convolution-based autoencoder for geometry compression
di: Bregeon, Germain, et al.
Pubblicazione: (2026)

End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks
di: Kebaili, Aghiles, et al.
Pubblicazione: (2023)

Multimodal Prototyping for cancer survival prediction
di: Song, Andrew H., et al.
Pubblicazione: (2024)

Annotation-Efficient Active Test-Time Adaptation with Conformal Prediction
di: Shi, Tingyu, et al.
Pubblicazione: (2025)

Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation
di: Tang, Fenghe, et al.
Pubblicazione: (2025)

Neighbor-aware informal settlement mapping with graph convolutional networks
di: Hallopeau, Thomas, et al.
Pubblicazione: (2025)

Flexible graph convolutional network for 3D human pose estimation
di: Shahjahan, Abu Taib Mohammed, et al.
Pubblicazione: (2024)

On the robustness of multimodal language model towards distractions
di: Liu, Ming, et al.
Pubblicazione: (2025)

Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks
di: Ibañez, Victor, et al.
Pubblicazione: (2024)

Generative artificial intelligence in ophthalmology: multimodal retinal images for the diagnosis of Alzheimer's disease with convolutional neural networks
di: Slootweg, I. R., et al.
Pubblicazione: (2024)

OmDet: Large-scale vision-language multi-dataset pre-training with multimodal detection network
di: Zhao, Tiancheng, et al.
Pubblicazione: (2022)

LDConv: Linear deformable convolution for improving convolutional neural networks
di: Zhang, Xin, et al.
Pubblicazione: (2023)

Radiation therapy response prediction for head and neck cancer using multimodal imaging and multiview dynamic graph autoencoder feature selection
di: Amir Moslemi, et al.
Pubblicazione: (2025)

Multi-SIGATnet: A multimodal schizophrenia MRI classification algorithm using sparse interaction mechanisms and graph attention networks
di: Jiao, Yuhong, et al.
Pubblicazione: (2024)

MULTIAQUA: A multimodal maritime dataset and robust training strategies for multimodal semantic segmentation
di: Muhovič, Jon, et al.
Pubblicazione: (2025)

AD-Net: Attention-based dilated convolutional residual network with guided decoder for robust skin lesion segmentation
di: Naveed, Asim, et al.
Pubblicazione: (2024)

A$^{2}$-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder
di: Zhang, Lixian, et al.
Pubblicazione: (2024)

Real-time prediction of breast cancer sites using deformation-aware graph neural network
di: Lee, Kyunghyun, et al.
Pubblicazione: (2025)

Spatial-ORMLLM: Improve Spatial Relation Understanding in the Operating Room with Multimodal Large Language Model
di: He, Peiqi, et al.
Pubblicazione: (2025)

Uncovering cognitive taskonomy through transfer learning in masked autoencoder-based fMRI reconstruction
di: Qu, Youzhi, et al.
Pubblicazione: (2024)

An ensemble framework approach of hybrid Quantum convolutional neural networks for classification of breast cancer images
di: Guha, Dibyasree, et al.
Pubblicazione: (2024)

Enhancing image quality prediction with self-supervised visual masking
di: Çoğalan, Uğur, et al.
Pubblicazione: (2023)

Prototype-driven fusion of pathology and spatial transcriptomics for interpretable survival prediction
di: Liu, Lihe, et al.
Pubblicazione: (2026)

Mineral segmentation using electron microscope images and spectral sampling through multimodal graph neural networks
di: Repka, Samuel, et al.
Pubblicazione: (2025)