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For: Yao J, Zhu X, Jonnagaddala J, Hawkins N, Huang J. Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks. Medical Image Analysis 2020;65:101789. [DOI: 10.1016/j.media.2020.101789] [Cited by in Crossref: 17] [Cited by in F6Publishing: 4] [Article Influence: 8.5] [Reference Citation Analysis]
Number Citing Articles
1 Wu Y, Cheng M, Huang S, Pei Z, Zuo Y, Liu J, Yang K, Zhu Q, Zhang J, Hong H, Zhang D, Huang K, Cheng L, Shao W. Recent Advances of Deep Learning for Computational Histopathology: Principles and Applications. Cancers 2022;14:1199. [DOI: 10.3390/cancers14051199] [Reference Citation Analysis]
2 Yao J, Shi Y, Cao K, Lu L, Lu J, Song Q, Jin G, Xiao J, Hou Y, Zhang L. DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imaging and tumor-vascular contact parsing. Med Image Anal 2021;73:102150. [PMID: 34303891 DOI: 10.1016/j.media.2021.102150] [Reference Citation Analysis]
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4 Laleh NG, Muti HS, Loeffler CML, Echle A, Saldanha OL, Mahmood F, Lu MY, Trautwein C, Langer R, Dislich B, Buelow RD, Grabsch HI, Brenner H, Chang-claude J, Alwers E, Brinker TJ, Khader F, Truhn D, Gaisa NT, Boor P, Hoffmeister M, Schulz V, Kather JN. Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Medical Image Analysis 2022. [DOI: 10.1016/j.media.2022.102474] [Reference Citation Analysis]
5 Yang H, Chen L, Cheng Z, Yang M, Wang J, Lin C, Wang Y, Huang L, Chen Y, Peng S, Ke Z, Li W. Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study. BMC Med 2021;19:80. [PMID: 33775248 DOI: 10.1186/s12916-021-01953-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Liao X, Zheng X, He J, Li Q. Computer-aided decision-making system for endometrial atypical hyperplasia based on multi-modal and multi-instance deep convolution neural networks. Soft Comput. [DOI: 10.1007/s00500-021-06576-6] [Reference Citation Analysis]
7 Wen Y, Chen L, Deng Y, Zhou C. Rethinking pre-training on medical imaging. Journal of Visual Communication and Image Representation 2021;78:103145. [DOI: 10.1016/j.jvcir.2021.103145] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 5.0] [Reference Citation Analysis]
8 Liu H, Zhao Y, Yang F, Lou X, Wu F, Li H, Xing X, Peng T, Menze B, Huang J, Zhang S, Han A, Yao J, Fan X. Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer with Deep Learning. BME Frontiers 2022;2022:1-12. [DOI: 10.34133/2022/9860179] [Reference Citation Analysis]
9 Li X, Jonnagaddala J, Yang S, Zhang H, Xu XS. A retrospective analysis using deep-learning models for prediction of survival outcome and benefit of adjuvant chemotherapy in stage II/III colorectal cancer. J Cancer Res Clin Oncol 2022. [PMID: 35332389 DOI: 10.1007/s00432-022-03976-5] [Reference Citation Analysis]
10 Liu H, Xu W, Shang Z, Wang X, Zhou H, Ma K, Zhou H, Qi J, Jiang J, Tan L, Zeng H, Cai H, Wang K, Qian Y. Breast Cancer Molecular Subtype Prediction on Pathological Images with Discriminative Patch Selection and Multi-Instance Learning. Front Oncol 2022;12:858453. [DOI: 10.3389/fonc.2022.858453] [Reference Citation Analysis]
11 Chen Z, Liu J, Zhu M, Woo PY, Yuan Y. Instance Importance-Aware Graph Convolutional Network for 3D Medical Diagnosis. Medical Image Analysis 2022. [DOI: 10.1016/j.media.2022.102421] [Reference Citation Analysis]
12 Uegami W, Bychkov A, Ozasa M, Uehara K, Kataoka K, Johkoh T, Kondoh Y, Sakanashi H, Fukuoka J. MIXTURE of human expertise and deep learning-developing an explainable model for predicting pathological diagnosis and survival in patients with interstitial lung disease. Mod Pathol 2022. [PMID: 35197560 DOI: 10.1038/s41379-022-01025-7] [Reference Citation Analysis]
13 Lin H, Chen H, Wang X, Wang Q, Wang L, Heng PA. Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis. Med Image Anal 2021;69:101955. [PMID: 33588122 DOI: 10.1016/j.media.2021.101955] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]