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References from Towards scalable cancer prognosis by aligning semi-supervised learning with survival modeling. Local targets link to admitted publications; unresolved targets remain external evidence.
Geospatial immune variability illuminates differential evolution of lung adenocarcinoma
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10.1109/cvpr52688.2022.01567
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Towards a general-purpose foundation model for computational pathology
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2023 · External reference
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
10.1016/j.media.2019.03.009 · 2019 · External reference
MGCM: Multi-modal graph convolutional mamba for cancer survival prediction
10.1016/j.patcog.2025.111991 · 2026 · External reference
Tumour heterogeneity and resistance to cancer therapies
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Methods to analyse time-to-event data: The kaplan-meier survival curve
10.1155/2021/2290120 · 2021 · External reference
Imagenet: A large-scale hierarchical image database
2009 · External reference
Generating hypergraph-based high-order representations of whole-slide histopathological images for survival prediction
2022 · External reference
Solving the multiple instance problem with axis-parallel rectangles
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The CPTAC data portal: a resource for cancer proteomics research
10.1021/pr501254j · 2015 · External reference
A scalable discrete-time survival model for neural networks
10.7717/peerj.6257 · 2019 · External reference
Generative adversarial nets
2014 · External reference
Hover-net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images
10.1016/j.media.2019.101563 · 2019 · External reference
Endometrial carcinoma and immune escape: prognostic relevance of hla class I loss in NSMP subtype
10.1111/his.15531 · 2026 · External reference
Semi-supervised learning
2013 · External reference
Attention-based deep multiple instance learning
2018 · External reference
Deep learning applications in breast cancer histopathological imaging: diagnosis, treatment, and prognosis
10.1186/s13058-024-01895-6 · 2024 · External reference
A semi-supervised learning approach with consistency regularization for tumor histopathological images analysis
10.3389/fonc.2022.1044026 · 2023 · External reference
A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular marker discovery of gliomas
10.1038/s42256-024-00868-w · 2024 · External reference
Semi-supervised histological image segmentation via hierarchical consistency enforcement
2022 · External reference
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2024 · External reference
Distribution aligning refinery of pseudo-label for imbalanced semi-supervised learning
2020 · External reference
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2013 · External reference
10.1109/cvpr52733.2024.01083
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Multi-granularity pseudo-label collaboration for unsupervised person re-identification
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Cellular architecture and neighborhood-informed virtual spatial tumor profiling from histopathology
10.1016/j.cell.2026.05.031 · 2026 · External reference
AI-enabled virtual spatial proteomics from histopathology for interpretable biomarker discovery in lung cancer
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Interpretable classification of pathology whole-slide images using attention based context-aware graph convolutional neural network
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Data-efficient and weakly supervised computational pathology on whole-slide images
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10.1016/j.future.2024.107578 · 2025 · External reference
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Virtual adversarial training: a regularization method for supervised and semi-supervised learning
10.1109/tpami.2018.2858821 · 2018 · External reference
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2018 · External reference
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10.1109/iccv51701.2025.02059
10.1109/iccv51701.2025.02059 · External reference
Top-down attention-based multiple instance learning for whole slide image analysis
2025 · External reference
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2024 · External reference
CenTime: Event-conditional modelling of censoring in survival analysis
10.1016/j.media.2023.103016 · 2024 · External reference
Transmil: Transformer based correlated multiple instance learning for whole slide image classification
2021 · External reference
Semi-supervised object detection: A survey on progress from cnn to transformer
10.3390/s26010310 · 2026 · External reference
Semi-supervised pixel contrastive learning framework for tissue segmentation in histopathological image
10.1109/jbhi.2022.3216293 · 2022 · External reference
10.1109/cvpr52733.2024.01069
10.1109/cvpr52733.2024.01069 · External reference
Fixmatch: Simplifying semi-supervised learning with consistency and confidence
2020 · External reference
10.1109/cvpr52733.2024.01099
10.1109/cvpr52733.2024.01099 · External reference
Unresolved reference
2025 · External reference
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
2017 · External reference
A survey on semi-supervised learning
10.1007/s10994-019-05855-6 · 2020 · External reference
Attention is all you need
2017 · External reference
Interpolation consistency training for semi-supervised learning
10.1016/j.neunet.2021.10.008 · 2022 · External reference
Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images
10.1016/j.cmpb.2023.107733 · 2023 · External reference
Dual-stream multi-dependency graph neural network enables precise cancer survival analysis
10.1016/j.media.2024.103252 · 2024 · External reference
Histo-genomic knowledge association for cancer prognosis from histopathology whole slide images
10.1109/tmi.2025.3526816 · 2025 · External reference
A pathology foundation model for cancer diagnosis and prognosis prediction
10.1038/s41586-024-07894-z · 2024 · External reference
10.1109/cvpr46437.2021.01071
10.1109/cvpr46437.2021.01071 · External reference
The cancer genome atlas pan-cancer analysis project
10.1038/ng.2764 · 2013 · External reference
Learnable prototype-guided multiple instance learning for detecting tertiary lymphoid structures in multi-cancer whole-slide pathological images
10.1016/j.media.2025.103652 · 2025 · External reference
Unresolved reference
External reference
Multi-resolution consistency semi-supervised active learning framework for histopathology image classification
10.1016/j.eswa.2024.125266 · 2025 · External reference
A multimodal knowledge-enhanced whole-slide pathology foundation model
10.1038/s41467-025-66220-x · 2025 · External reference
A survey on deep semi-supervised learning
10.1109/tkde.2022.3220219 · 2022 · External reference
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks
10.1016/j.media.2020.101789 · 2020 · External reference
Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological images
10.1038/s41467-021-26643-8 · 2021 · External reference
Unresolved reference
2025 · External reference
Unresolved reference
2025 · External reference
10.1109/cvpr52734.2025.00339
10.1109/cvpr52734.2025.00339 · External reference
Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling
2021 · External reference
FedLGMatch: Federated semi-supervised learning via joint local and global pseudo labeling
10.1016/j.knosys.2025.113642 · 2025 · External reference
MW-FixMatch: A class imbalance semi-supervised learning algorithm based on re-weighting
10.1016/j.neucom.2025.129385 · 2025 · External reference
10.1109/cvpr52734.2025.01454
10.1109/cvpr52734.2025.01454 · External reference
MSMMIL: Multi-scan mamba-based multiple instance learning for whole slide image classification
10.1016/j.knosys.2025.113871 · 2025 · External reference
