Cancer Survival Prediction

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3 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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GD-MIL: Grade-Disentangled Multiple Instance Learning for Multimodal Biochemical Recurrence Prediction in Prostate Cancer
Jun 8, 2026Dasari Naga RajuAdversarial Representation Learning Cancer Survival Prediction
TRAPS: Therapeutic Response Analysis via Pathway-informed Stratification
Jun 5, 2026Sujoy Banik, Sayantan Chakraborty, Boishakhi Das Toma +4Cancer Genomics Cancer Survival Prediction
Rajshahi University of Engineering & Technology Bangladesh · University of Dhaka Bangladesh · American International University of Bangladesh Bangladesh +2
Multi-FRuGaL: Multimodal Flexible Redundancy-aware Decomposed Gated Learning for Cancer Diagnosis and Prognosis
Jun 5, 2026Sanket Kachole, Siddhesh Thakur, Shubham Innani +4Missing-Modality Learning Cancer Survival Prediction
Division of Computational Pathology, Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA · IU Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN, USA · Departments of Biostatistics and Health Data Science; Radiology and Imaging Sciences; Neurological Surgery; Indiana University School of Medicine, Indianapolis, IN, USA +1
Modeling and Interpreting Teamwork Dynamics in Cancer Care Outcome Prediction
Jun 3, 2026Yuhua Huang, Hsiao-Ying Lu, Kwan-Liu MaCancer Survival Prediction Healthcare
University of California, Davis Davis, California, USA
Developing a novel Comorbidities Index for predicting 10-year mortality in Prostate Cancer patients: A computational data-driven approach
May 29, 2026Davide Farinati, Francesco Barletta, Paolo Zaurito +6Cancer Survival Prediction Metaheuristic Optimization
Vita-Salute San Raffaele University, Milan, Italy Comprehensive Cancer Center/Unit of Urology; URI; IRCCS Ospedale San Raffaele, Milan, Italy · School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK · Department of Urology, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
BioFact-MoE: Biologically Factorized Mixture of Experts for Vision-Language Prognostic Modeling in Hepatocellular Carcinoma
May 25, 2026Junlin Yang, Tian Yu, Nicha C. Dvornek +6Radiology VLMs Cancer Survival Prediction
Department of Radiology & Biomedical Imaging, Yale University, New Haven, CT, 06510, USA · Department of Biomedical Engineering, Yale University, New Haven, CT, 06510, USA · Department of Electrical Engineering, Yale University, New Haven, CT, 06510, USA +1
Multimodality Stacking with Blockwise missing values and application to the PIONeeR biomarkers study for prediction of resistance to immunotherapy
May 24, 2026Mohamed Boussena, Florence Monville, Jacques Fieschi-Meric +8Missing-Modality Learning Cancer Survival Prediction
Inria – Inserm team COMPO, COMPutational pharmacology and clinical Oncology, Centre Inria Sophia Antipolis - M´editerran´ee, Centre de Recherches en Canc´erologie de Marseille, Inserm U1068, CNRS UMR7258, Institut Paoli-Calmettes, Pharmacy faculty, Aix-Marseille University · Veracyte SAS, Marseille, France · Assistance Publique-Hˆopitaux de Marseille (APHM), Marseille, France +4
Graph Mamba Survival Analysis Based on Topology-Aware ordering
May 23, 2026Yuanfang Chen, Peiqiang Yan, Yuntao Shou +2Cancer Survival Prediction Whole-Slide Image Analysis
School of Mathematics and Statistics, Xi’an Jiaotong University, West China Science and Technology Innovation Harbor, Xi’an, 710049, Shaanxi Province, China · School of Computer Science and Technology, Xi’an Jiaotong University, West China Science and Technology Innovation Harbor, Xi’an, 710049, Shaanxi Province, China
FederatedRSF : Federated Random Survival Forests for Partially Overlapping Medical Data
May 21, 2026Maryam Moradpour, Jonas Harriehausen, Amirreza Aleyasin +3Federated Learning Aggregation Cancer Survival Prediction
Institute for Predictive Deep Learning in Medicine and Healthcare, Justus Liebig University Gießen, Germany · Hessian Center for Artificial Intelligence (hessian.AI), Darmstadt, Germany · Department of Medical Informatics, University Medical Center Göttingen, Germany +1
ProtoPathway: Biologically Structured Prototype-Pathway Fusion for Multimodal Cancer Survival Prediction
May 20, 2026Amaya Gallagher-Syed, Costantino Pitzalis, Myles J. Lewis +2Cancer Survival Prediction Oncology
Queen Mary University of London
HDMoE: A Hierarchical Decoupling-Fusion Mixture-of-Experts Framework for Multimodal Cancer Survival Prediction
May 20, 2026Huayi Wang, Haochao Ying, Yuyang Xu +5Cancer Survival Prediction Survival Analysis
Zhejiang University Hangzhou, China · Xinjiang University Urumqi, China · Hangzhou City University Hangzhou, China +1
Attention-Based Multimodal Survival Prediction with Cross-Modal Bilinear Fusion
May 12, 2026Hassan Keshvarikhojasteh, Josien P. W. Pluim, Mitko VetaRepresentation Learning Cancer Survival Prediction
Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
CURE-OOD: Benchmarking Out-of-Distribution Detection for Survival Prediction
May 1, 2026Wenjie Zhao, Jia Li, Mingrui Liu +2Cancer Survival Prediction Distribution Shift
University of Texas at Dallas · George Mason University · UT Southwestern Medical Center
Benchmarking Pathology Foundation Models for Breast Cancer Survival Prediction
Apr 27, 2026Fredrik K. Gustafsson, Constance Boissin, Johan Vallon-Christersson +2Cancer Survival Prediction Survival Analysis
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden · Division of Oncology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden · Department of Engineering Science, University of Oxford, Oxford, UK +1
PathMoG: A Pathway-Centric Modular Graph Neural Network for Multi-Omics Survival Prediction
Apr 27, 2026Di Wang, Chupei Tang, Junxiao Kong +3Cancer Genomics Graph Neural Networks
1Cuiying Honors College, Lanzhou University, China · School of Mathematics and Statistics, Lanzhou University, China · School of Mathematics and Statistics, Lanzhou University, China and Shanghai Innovation Institute +1
Graph Transformer-Based Pathway Embedding for Cancer Prognosis
Apr 17, 2026Koushik Howlader, Md Tauhidul Islam, Wei LeCancer Genomics Cancer Survival Prediction
Iowa State University, Iowa, USA · Stanford University, CA, USA
Ranking XAI Methods for Head and Neck Cancer Outcome Prediction
Apr 17, 2026Baoqiang Ma, Djennifer K. Madzia-Madzou, Rosa C. J. Kraaijveld +1Gradient-Based Attribution Cancer Survival Prediction
Image Sciences Institute, University Medical Center Utrecht
Together, Then Apart: Balancing Alignment and Distinctiveness for Multimodal Survival Analysis
Nov 22, 2025Wenjing Liu, Qin Ren, Wen Zhang +2Cancer Survival Prediction Survival Analysis
Stony Brook University, Stony Brook, NY, USA · Johns Hopkins University, Baltimore, MD, USA · Brookhaven National Laboratory, Upton, NY, USA
Multimodal Feature Prototype Learning for Interpretable and Discriminative Cancer Survival Prediction
Oct 7, 2025Shuo Jiang, Zhuwen Chen, Liaoman Xu +6Computational Pathology Cancer Survival Prediction
Hangzhou Dianzi University, Hangzhou 310018, China · School of Information and Communication Technology, Griffith University, QLD 4215, Australia · Shenzhen Research Institute of Big Data, Shenzhen 518172, China +3
CrossFusion: A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction
Mar 3, 2025Rustin Soraki, Huayu Wang, Sitong Liu +2Computational Pathology Cancer Survival Prediction
University of Washington, Seattle, WA · University of California, Los Angeles, CA
PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images
Date pendingYang Luo, Shiru Wang, Jun Liu +7Computational Pathology Cancer Survival Prediction
XJLTU · Dartmouth · NUP +7

Jun 8, 2026, cs.CVJ/K move · Enter open · S save

GD-MIL: Grade-Disentangled Multiple Instance Learning for Multimodal Biochemical Recurrence Prediction in Prostate Cancer

Dasari Naga Raju

Adversarial Representation Learning Cancer Survival Prediction Survival Analysis Clinical Outcome Prediction Oncology Multimodal Survival Analysis+2

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Biochemical recurrence (BCR) after radical prostatectomy is a critical endpoint in prostate cancer, yet risk stratification relies almost entirely on variables dominated by Gleason grade. Whether H&E whole slide images (WSIs) carry prognostic signal beyond grade, and whether multiple instance learning (MIL) can recover it, remains unsettled. A key obstacle is that many pipelines select model checkpoints on the evaluation fold, artificially inflating concordance. We construct a rigorous benchmark on TCGA-PRAD (487 patients, 101 BCR events) using strict out-of-fold scoring over five-fold cross-validation repeated across five seeds. The choice of MIL aggregator (ABMIL, CLAM, TransMIL, PatchGCN) has little effect (C-index 0.61-0.64 with UNI2-h), while the feature extractor is the dominant factor (ResNet50 0.566 versus pathology foundation models up to 0.639). A clinical Cox model on grade, stage, and age reaches 0.687; no imaging-only model significantly outperforms it (p > 0.10). We introduce Grade-Disentangled MIL (GD-MIL), a gated-attention MIL encoder trained with a gradient-reversal grade adversary that encourages the slide representation to be invariant to Gleason grade before late fusion with clinical variables. GD-MIL achieves C-index 0.704, significantly outperforming both the clinical baseline (delta-c = +0.029, p = 0.0005) and the best imaging-only model (delta-c = +0.062, p = 0.039), suggesting H&E morphology contains prognostic information complementary to grade. A median risk split yields log-rank p < 0.0001 separation in BCR-free survival (~20% vs ~70% at five years).

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