Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction
Fuente:
arXiv
Guardado en:
| Autores principales: | Eijpe, Aniek, Lakbir, Soufyan, Cesur, Melis Erdal, Oliveira, Sara P., Abeln, Sanne, Silva, Wilson |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Bridging the gap between Performance and Interpretability: An Explainable Disentangled Multimodal Framework for Cancer Survival Prediction
por: Eijpe, Aniek, et al.
Publicado: (2026)
por: Eijpe, Aniek, et al.
Publicado: (2026)
Enhancing Cross-Modal Medical Image Segmentation through Compositionality
por: Eijpe, Aniek, et al.
Publicado: (2024)
por: Eijpe, Aniek, et al.
Publicado: (2024)
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
por: Zhang, Yilan, et al.
Publicado: (2024)
por: Zhang, Yilan, et al.
Publicado: (2024)
Leveraging Adversarial Learning for Pathological Fidelity in Virtual Staining
por: Teixeira, José, et al.
Publicado: (2025)
por: Teixeira, José, et al.
Publicado: (2025)
Enhanced Survival Prediction in Head and Neck Cancer Using Convolutional Block Attention and Multimodal Data Fusion
por: Farooq, Aiman, et al.
Publicado: (2024)
por: Farooq, Aiman, et al.
Publicado: (2024)
Multimodal Feature Prototype Learning for Interpretable and Discriminative Cancer Survival Prediction
por: Jiang, Shuo, et al.
Publicado: (2025)
por: Jiang, Shuo, et al.
Publicado: (2025)
Beyond Olfaction: New Insights into Human Odorant Binding Proteins
por: Chen, Mifen, et al.
Publicado: (2025)
por: Chen, Mifen, et al.
Publicado: (2025)
Beyond olfaction: New insights into human odorant binding proteins
por: Mifen Chen, et al.
Publicado: (2026)
por: Mifen Chen, et al.
Publicado: (2026)
HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction
por: Wang, Huayi, et al.
Publicado: (2026)
por: Wang, Huayi, et al.
Publicado: (2026)
AdaMHF: Adaptive Multimodal Hierarchical Fusion for Survival Prediction
por: Zhang, Shuaiyu, et al.
Publicado: (2025)
por: Zhang, Shuaiyu, et al.
Publicado: (2025)
Cross-modality Attention-based Multimodal Fusion for Non-small Cell Lung Cancer (NSCLC) Patient Survival Prediction
por: Deng, Ruining, et al.
Publicado: (2023)
por: Deng, Ruining, et al.
Publicado: (2023)
CrossFusion: A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction
por: Soraki, Rustin, et al.
Publicado: (2025)
por: Soraki, Rustin, et al.
Publicado: (2025)
M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction
por: Luo, Hui, et al.
Publicado: (2024)
por: Luo, Hui, et al.
Publicado: (2024)
Training state-of-the-art pathology foundation models with orders of magnitude less data
por: Karasikov, Mikhail, et al.
Publicado: (2025)
por: Karasikov, Mikhail, et al.
Publicado: (2025)
LLM-driven Knowledge Enhancement for Multimodal Cancer Survival Prediction
por: Zhao, Chenyu, et al.
Publicado: (2025)
por: Zhao, Chenyu, et al.
Publicado: (2025)
Decouple, Reorganize, and Fuse: A Multimodal Framework for Cancer Survival Prediction
por: Wang, Huayi, et al.
Publicado: (2025)
por: Wang, Huayi, et al.
Publicado: (2025)
ProtoPathway: Biologically Structured Prototype-Pathway Fusion for Multimodal Cancer Survival Prediction
por: Gallagher-Syed, Amaya, et al.
Publicado: (2026)
por: Gallagher-Syed, Amaya, et al.
Publicado: (2026)
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction
por: Xiong, Conghao, et al.
Publicado: (2024)
por: Xiong, Conghao, et al.
Publicado: (2024)
$M^{2}$Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction
por: Liu, Quan, et al.
Publicado: (2024)
por: Liu, Quan, et al.
Publicado: (2024)
FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival
por: Pan, Liangrui, et al.
Publicado: (2024)
por: Pan, Liangrui, et al.
Publicado: (2024)
Handling Missing Modalities in Multimodal Survival Prediction for Non-Small Cell Lung Cancer
por: Ruffini, Filippo, et al.
Publicado: (2026)
por: Ruffini, Filippo, et al.
Publicado: (2026)
Multimodal Fusion Learning with Dual Attention for Medical Imaging
por: Dhar, Joy, et al.
Publicado: (2024)
por: Dhar, Joy, et al.
Publicado: (2024)
Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion
por: Park, Jaehyun, et al.
Publicado: (2025)
por: Park, Jaehyun, et al.
Publicado: (2025)
BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion
por: Mondol, Raktim Kumar, et al.
Publicado: (2024)
por: Mondol, Raktim Kumar, et al.
Publicado: (2024)
Multimodal Fusion SLAM with Fourier Attention
por: Zhou, Youjie, et al.
Publicado: (2025)
por: Zhou, Youjie, et al.
Publicado: (2025)
Multimodal Stepwise Clinically-Guided Attention Learning for Pathological Complete Response Prediction in Breast Cancer
por: Caragliano, Alice Natalina, et al.
Publicado: (2026)
por: Caragliano, Alice Natalina, et al.
Publicado: (2026)
Adaptive Prototype Learning for Multimodal Cancer Survival Analysis
por: Liu, Hong, et al.
Publicado: (2025)
por: Liu, Hong, et al.
Publicado: (2025)
PS3: A Multimodal Transformer Integrating Pathology Reports with Histology Images and Biological Pathways for Cancer Survival Prediction
por: Raza, Manahil, et al.
Publicado: (2025)
por: Raza, Manahil, et al.
Publicado: (2025)
Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation
por: Chen, Meixu, et al.
Publicado: (2024)
por: Chen, Meixu, et al.
Publicado: (2024)
Multimodal Attention-Aware Fusion for Diagnosing Distal Myopathy: Evaluating Model Interpretability and Clinician Trust
por: Onari, Mohsen Abbaspour, et al.
Publicado: (2025)
por: Onari, Mohsen Abbaspour, et al.
Publicado: (2025)
CIBRA identifies genomic alterations with a system-wide impact on tumor biology
por: Lakbir, Soufyan, et al.
Publicado: (2024)
por: Lakbir, Soufyan, et al.
Publicado: (2024)
MM-SurvNet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion
por: Mondol, Raktim Kumar, et al.
Publicado: (2024)
por: Mondol, Raktim Kumar, et al.
Publicado: (2024)
Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance
por: Qu, Mingcheng, et al.
Publicado: (2025)
por: Qu, Mingcheng, et al.
Publicado: (2025)
MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning
por: Truong, Thanh-Dat, et al.
Publicado: (2025)
por: Truong, Thanh-Dat, et al.
Publicado: (2025)
Interpretability Without Tradeoffs: Disentangling Polysemanticity At Equal Predictive Performance
por: Bağcı, Doğukan, et al.
Publicado: (2026)
por: Bağcı, Doğukan, et al.
Publicado: (2026)
VISTA: A Visual and Textual Attention Dataset for Interpreting Multimodal Models
por: Harshit, et al.
Publicado: (2024)
por: Harshit, et al.
Publicado: (2024)
GaussianBlender: Instant Stylization of 3D Gaussians with Disentangled Latent Spaces
por: Ocal, Melis, et al.
Publicado: (2025)
por: Ocal, Melis, et al.
Publicado: (2025)
Dynamic Disentangled Fusion Network for RGBT Tracking
por: Li, Chenglong, et al.
Publicado: (2024)
por: Li, Chenglong, et al.
Publicado: (2024)
Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoder
por: Zhou, Junjie, et al.
Publicado: (2025)
por: Zhou, Junjie, et al.
Publicado: (2025)
Structural Prognostic Event Modeling for Multimodal Cancer Survival Analysis
por: Zhang, Yilan, et al.
Publicado: (2025)
por: Zhang, Yilan, et al.
Publicado: (2025)
Ejemplares similares
-
Bridging the gap between Performance and Interpretability: An Explainable Disentangled Multimodal Framework for Cancer Survival Prediction
por: Eijpe, Aniek, et al.
Publicado: (2026) -
Enhancing Cross-Modal Medical Image Segmentation through Compositionality
por: Eijpe, Aniek, et al.
Publicado: (2024) -
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
por: Zhang, Yilan, et al.
Publicado: (2024) -
Leveraging Adversarial Learning for Pathological Fidelity in Virtual Staining
por: Teixeira, José, et al.
Publicado: (2025) -
Enhanced Survival Prediction in Head and Neck Cancer Using Convolutional Block Attention and Multimodal Data Fusion
por: Farooq, Aiman, et al.
Publicado: (2024)