Cover Image

Live(r) Die: Predicting Survival in Colorectal Liver Metastasis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Alberb, Muhammad, Cheung, Helen, Martel, Anne
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Automated Radiomics Framework for Postoperative Survival Prediction in Colorectal Liver Metastases using Preoperative MRI
by: Alberb, Muhammad, et al.
Published: (2026)

A Dynamic Prognostic Prediction Method for Colorectal Cancer Liver Metastasis
by: Yang, Wei, et al.
Published: (2025)

MorphDistill: Distilling Unified Morphological Knowledge from Pathology Foundation Models for Colorectal Cancer Survival Prediction
by: Khan, Hikmat, et al.
Published: (2026)

Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network
by: Chen, Han, et al.
Published: (2025)

TYrPPG: Uncomplicated and Enhanced Learning Capability rPPG for Remote Heart Rate Estimation
by: Chen, Taixi, et al.
Published: (2025)

CoMoTo: Unpaired Cross-Modal Lesion Distillation Improves Breast Lesion Detection in Tomosynthesis
by: Alberb, Muhammad, et al.
Published: (2024)

Morphology-Aware Prognostic model for Five-Year Survival Prediction in Colorectal Cancer from H&E Whole Slide Images
by: Sajjad, Usama, et al.
Published: (2025)

Robust Multicentre Detection and Classification of Colorectal Liver Metastases on CT: Application of Foundation Models
by: Mali, Shruti Atul, et al.
Published: (2026)

Breast Cancer Detection from Multi-View Screening Mammograms with Visual Prompt Tuning
by: Chen, Han, et al.
Published: (2025)

Glioblastoma Overall Survival Prediction With Vision Transformers
by: Lin, Yin, et al.
Published: (2025)

Attachment Anchors: A Novel Framework for Laparoscopic Grasping Point Prediction in Colorectal Surgery
by: Schneider, Dennis N., et al.
Published: (2026)

Multi-Modal Mamba Modeling for Survival Prediction (M4Survive): Adapting Joint Foundation Model Representations
by: Lee, Ho Hin, et al.
Published: (2025)

AdaMHF: Adaptive Multimodal Hierarchical Fusion for Survival Prediction
by: Zhang, Shuaiyu, et al.
Published: (2025)

LLM-driven Knowledge Enhancement for Multimodal Cancer Survival Prediction
by: Zhao, Chenyu, et al.
Published: (2025)

Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction
by: Eijpe, Aniek, et al.
Published: (2025)

CURE-OOD: Benchmarking Out-of-Distribution Detection for Survival Prediction
by: Zhao, Wenjie, et al.
Published: (2026)

Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
by: Zhang, Yilan, et al.
Published: (2024)

A Metabolic-Imaging Integrated Model for Prognostic Prediction in Colorectal Liver Metastases
by: Li, Qinlong, et al.
Published: (2025)

Flow3r: Factored Flow Prediction for Scalable Visual Geometry Learning
by: Cong, Zhongxiao, et al.
Published: (2026)

MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans
by: Li, Xueyang, et al.
Published: (2024)

Multimodal Feature Prototype Learning for Interpretable and Discriminative Cancer Survival Prediction
by: Jiang, Shuo, et al.
Published: (2025)

Decouple, Reorganize, and Fuse: A Multimodal Framework for Cancer Survival Prediction
by: Wang, Huayi, et al.
Published: (2025)

Look a Group at Once: Multi-Slide Modeling for Survival Prediction
by: Li, Xinyang, et al.
Published: (2024)

$M^{2}$Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction
by: Liu, Quan, et al.
Published: (2024)

Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoder
by: Zhou, Junjie, et al.
Published: (2025)

Medical Image Understanding Improves Survival Prediction via Visual Instruction Tuning
by: Liu, Xixi, et al.
Published: (2026)

Dynamic Hypergraph Representation for Bone Metastasis Cancer Analysis
by: Chen, Yuxuan, et al.
Published: (2025)

Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation
by: Chen, Jianan, et al.
Published: (2023)

rPPG-VQA: A Video Quality Assessment Framework for Unsupervised rPPG Training
by: Dai, Tianyang, et al.
Published: (2026)

DD-rPPGNet: De-interfering and Descriptive Feature Learning for Unsupervised rPPG Estimation
by: Huang, Pei-Kai, et al.
Published: (2024)

Bridging the gap between Performance and Interpretability: An Explainable Disentangled Multimodal Framework for Cancer Survival Prediction
by: Eijpe, Aniek, et al.
Published: (2026)

A Multimodal Transformer for Live Streaming Highlight Prediction
by: Deng, Jiaxin, et al.
Published: (2024)

Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases
by: Peoples, Jacob J., et al.
Published: (2025)

Facial Attractiveness Prediction in Live Streaming: A New Benchmark and Multi-modal Method
by: Li, Hui, et al.
Published: (2025)

OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport
by: Ren, Qin, et al.
Published: (2025)

Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning
by: Qu, Mingcheng, et al.
Published: (2025)

HGP-Mamba: Integrating Histology and Generated Protein Features for Mamba-based Multimodal Survival Risk Prediction
by: Dai, Jing, et al.
Published: (2026)

Enhanced Survival Prediction in Head and Neck Cancer Using Convolutional Block Attention and Multimodal Data Fusion
by: Farooq, Aiman, et al.
Published: (2024)

HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction
by: Wang, Huayi, et al.
Published: (2026)

Unsupervised Unfolded rPCA (U2-rPCA): Deep Interpretable Clutter Filtering for Ultrasound Microvascular Imaging
by: Li, Huaying, et al.
Published: (2025)