| For: | Jang HJ, Lee A, Kang J, Song IH, Lee SH. Prediction of genetic alterations from gastric cancer histopathology images using a fully automated deep learning approach. World J Gastroenterol 2021; 27(44): 7687-7704 [PMID: 34908807 DOI: 10.3748/wjg.v27.i44.7687] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v27/i44/7687.htm |
| Number | Citing Articles |
| 1 |
Sung Hak Lee, Hyun-Jong Jang. Deep learning-based prediction of molecular cancer biomarkers from tissue slides: A new tool for precision oncology. Clinical and Molecular Hepatology 2022; 28(4) doi: 10.3350/cmh.2021.0394
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| 2 |
Qiuyan Sun, Tan Li, Zheng Wei, Zhiyi Ye, Xu Zhao, Jingjing Jing. Integrating transcriptomic data and digital pathology for NRG-based prediction of prognosis and therapy response in gastric cancer. Annals of Medicine 2024; 56(1) doi: 10.1080/07853890.2024.2426758
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| 3 |
Heather D. Couture. Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review. Journal of Personalized Medicine 2022; 12(12) doi: 10.3390/jpm12122022
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| 4 |
Jun Hyeong Park, June Hyuck Lim, Seonhwa Kim, Chul‐Ho Kim, Jeong‐Seok Choi, Jun Hyeok Lim, Lucia Kim, Jae Won Chang, Dongil Park, Myung‐won Lee, Sup Kim, Il‐Seok Park, Seung Hoon Han, Eun Shin, Jin Roh, Jaesung Heo. Deep learning‐based analysis of EGFR mutation prevalence in lung adenocarcinoma H&E whole slide images. The Journal of Pathology: Clinical Research 2024; 10(6) doi: 10.1002/2056-4538.70004
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| 5 |
Karen Zwaenepoel, Yves Sucaet, Ali Ramadhan, Koen De Winne, Gerwin Puppels, José Oramas, Paolo Bossi, Pierre Saintigny, Marine Hella Benaissa, Vito Carlo Alberto Caponio, Merva Soluk Tekkesin, Zisis Koslakidis, Syed Ali Khurram, Senada Koljenovic. Are H&E-based computational models transforming molecular pathology diagnostics in cancer?. Academia Oncology 2025; 2(4) doi: 10.20935/AcadOnco8050
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| 6 |
Zihan Chen, Xingyu Li, Miaomiao Yang, Hong Zhang, Xu Steven Xu. Optimization of deep learning models for the prediction of gene mutations using unsupervised clustering. The Journal of Pathology: Clinical Research 2023; 9(1) doi: 10.1002/cjp2.302
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| 7 |
Muhammad Zubair, Muhammad Owais, Taimur Hassan, Malika Bendechache, Muzammil Hussain, Irfan Hussain, Naoufel Werghi. An interpretable framework for gastric cancer classification using multi-channel attention mechanisms and transfer learning approach on histopathology images. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-025-97256-0
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| 8 |
Dongheng Ma, Canfeng Fan, Tomoya Sano, Kyoka Kawabata, Hinano Nishikubo, Daiki Imanishi, Takashi Sakuma, Koji Maruo, Yurie Yamamoto, Tasuku Matsuoka, Masakazu Yashiro. Beyond Biomarkers: Machine Learning-Driven Multiomics for Personalized Medicine in Gastric Cancer. Journal of Personalized Medicine 2025; 15(5) doi: 10.3390/jpm15050166
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| 9 |
Jiefeng Gan, Hanchen Wang, Hui Yu, Zitong He, Wenjuan Zhang, Ke Ma, Lianghui Zhu, Yutong Bai, Zongwei Zhou, Alan Yullie, Xiang Bai, Mingwei Wang, Dehua Yang, Yanyan Chen, Guoan Chen, Joan Lasenby, Chao Cheng, Jia Wu, Jianjun Zhang, Xinggang Wang, Yaobing Chen, Guoping Wang, Tian Xia. Focalizing regions of biomarker relevance facilitates biomarker prediction on histopathological images. iScience 2023; 26(10) doi: 10.1016/j.isci.2023.107243
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| 10 |
Yesul Jeong, Sangjeong Ahn, Sung Hak Lee. Artificial intelligence for biomarker prediction in gastric cancer: from histopathology to multimodal integration. Frontiers in Oncology 2026; 16 doi: 10.3389/fonc.2026.1845038
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| 11 |
Sheng Chen, Ping’an Ding, Honghai Guo, Lingjiao Meng, Qun Zhao, Cong Li. Applications of artificial intelligence in digital pathology for gastric cancer. Frontiers in Oncology 2024; 14 doi: 10.3389/fonc.2024.1437252
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| 12 |
Sarah Fremond, Viktor Hendrik Koelzer, Nanda Horeweg, Tjalling Bosse. The evolving role of morphology in endometrial cancer diagnostics: From histopathology and molecular testing towards integrative data analysis by deep learning. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.928977
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| 13 |
Pei-Hang Xu, Tianqi Li, Fengmei Qu, Mingkang Tian, Jun Wang, Hualei Gan, Dingwei Ye, Fei Ren, Yijun Shen. Comprehensive Collection of Whole-Slide Images and Genomic Profiles for Patients with Bladder Cancer. Scientific Data 2024; 11(1) doi: 10.1038/s41597-024-03526-3
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| 14 |
Alanna Ebigbo, Helmut Messmann, Sung Hak Lee. Artificial Intelligence Applications in Image-Based Diagnosis of Early Esophageal and Gastric Neoplasms. Gastroenterology 2025; 169(3) doi: 10.1053/j.gastro.2025.01.253
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| 15 |
Trinh Thi Le Vuong, Boram Song, Jin T. Kwak, Kyungeun Kim. Prediction of Epstein-Barr Virus Status in Gastric Cancer Biopsy Specimens Using a Deep Learning Algorithm. JAMA Network Open 2022; 5(10) doi: 10.1001/jamanetworkopen.2022.36408
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| 16 |
Keunho Byeon, Boram Song, Seoung Wan Chae, Kyungeun Kim, Jin Tae Kwak. A robust artificial intelligence system for predicting EBV status in gastric cancer biopsy and resection specimens. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-025-18836-8
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| 17 |
Sung Hak Lee, Yujin Lee, Hyun‐Jong Jang. Deep learning captures selective features for discrimination of microsatellite instability from pathologic tissue slides of gastric cancer. International Journal of Cancer 2023; 152(2) doi: 10.1002/ijc.34251
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| 18 |
Hyun-Jong Jang, Jai-Hyang Go, Younghoon Kim, Sung Hak Lee. Deep Learning for the Pathologic Diagnosis of Hepatocellular Carcinoma, Cholangiocarcinoma, and Metastatic Colorectal Cancer. Cancers 2023; 15(22) doi: 10.3390/cancers15225389
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| 19 |
Hyun-Jong Jang, Sung Hak Lee. AI-Driven Digital Pathology: Deep Learning and Multimodal Integration for Precision Oncology. International Journal of Molecular Sciences 2025; 27(1) doi: 10.3390/ijms27010379
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| 20 |
DSNBK Prasanth, Praveen Kumar Pasala, Deepak A. Yaraguppi, Arya Lakshmi Marisetti. Drug Targeting Complexity. 2026; doi: 10.1016/B978-0-443-43846-2.00018-0
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| 21 |
Zheng Wei, Xu Zhao, Jing Chen, Qiuyan Sun, Zeyang Wang, Yanli Wang, Zhiyi Ye, Yuan Yuan, Liping Sun, Jingjing Jing. Deep Learning–Based Stratification of Gastric Cancer Patients from Hematoxylin and Eosin–Stained Whole Slide Images by Predicting Molecular Features for Immunotherapy Response. The American Journal of Pathology 2023; 193(10) doi: 10.1016/j.ajpath.2023.06.004
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| 22 |
Mai Hanh Nguyen, Ngoc Dung Tran, Nguyen Quoc Khanh Le. Big Data and Artificial Intelligence in Drug Discovery for Gastric Cancer: Current Applications and Future Perspectives. Current Medicinal Chemistry 2025; 32(10) doi: 10.2174/0929867331666230913105829
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| 23 |
Mousumi Gupta, Prasanna Dhungel, Madhab Nirola, Bidyut Krishna Goswami, Amlan Gupta. Pixel by Pixel Semantic Segmentation Approach on WSI Images for Gastric Gland Segmentation and Gastric Cancer Grade Classification Using MLP‐XAI Model. International Journal of Imaging Systems and Technology 2025; 35(5) doi: 10.1002/ima.70201
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| 24 |
Gulsum Ozlem Elpek, Betul Unal, Cumhur Ibrahim Bassorgun, Mennan Yigitcan Celik, Elif Ocak Gedik, Anil Alpsoy, Aysen Yavuz. Artificial intelligence applications in predicting the behavior of gastrointestinal cancers in pathology. Artificial Intelligence in Gastroenterology 2022; 3(5): 142-162 doi: 10.35712/aig.v3.i5.142
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