| For: | Wang YY, Liu B, Wang JH. Application of deep learning-based convolutional neural networks in gastrointestinal disease endoscopic examination. World J Gastroenterol 2025; 31(36): 111137 [PMID: 41025070 DOI: 10.3748/wjg.v31.i36.111137] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v31/i36/111137.htm |
| Number | Citing Articles |
| 1 |
Sourav Das Polok, Md Zillur Rahman Saimon, Salil Batra, Pravallika Kondapalli, Muhammad Aumlanul Abrar, Gouri Shankar Chakraborty. Comparative Analysis of Detection and Segmentation Architectures using YOLO Variants and Deep Segmentation Models for Gastrointestinal Polyp Detection and Segmentation. 2026 7th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) 2026; doi: 10.1109/ICICV68925.2026.11554723
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| 2 |
Erdener Özçetin, Begüm Karakaya. H-MOTE: A hybrid multi-task ordinal-aware ensemble framework for automated ulcerative colitis severity assessment. Biomedical Signal Processing and Control 2026; 123 doi: 10.1016/j.bspc.2026.110614
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| 3 |
Ning Wang, Jiajing Lin, Wujin Li, Yahui Lyu, Yiqing Jiang, Zhizhan Ni, Qi Huang, Hong Chen, Qiang Yan, Chenshen Huang. Deep multimodal state-space fusion of endoscopic-radiomic and clinical data for survival prediction in colorectal cancer. npj Digital Medicine 2025; 8(1) doi: 10.1038/s41746-025-02236-3
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| 4 |
Divyanshi Sood, Surbhi Dadwal, Samiksha Jain, Iqra Jabeen Mazhar, Bipasha Goyal, Chris Garapati, Sagar Patel, Zenab Muhammad Riaz, Noor Buzaboon, Ayushi Mendiratta, Avneet Kaur, Anmol Mohan, Gayathri Yerrapragada, Poonguzhali Elangovan, Mohammed Naveed Shariff, Thangeswaran Natarajan, Jayarajasekaran Janarthanan, Shreshta Agarwal, Sancia Mary Jerold Wilson, Atishya Ghosh, Shiva Sankari Karuppiah, Joshika Agarwal, Keerthy Gopalakrishnan, Swetha Rapolu, Venkata S. Akshintala, Shivaram P. Arunachalam. Prospective of Colorectal Cancer Screening, Diagnosis, and Treatment Management Using Bowel Sounds Leveraging Artificial Intelligence. Cancers 2026; 18(2) doi: 10.3390/cancers18020340
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| 5 |
Qian-Cheng Du, De-Hua Zhou, Qi-Zhi Liu, Xiao-Huang Tu, Zhi-Long Zhang, Yu Bai, Yi-Bin Wu, Hui Nian. Multimodal artificial intelligence integrates imaging, endoscopic, and omics data for intelligent decision-making in individualized gastrointestinal tumor treatment. Artificial Intelligence in Gastroenterology 2026; 7(1): 115498 doi: 10.35712/aig.v7.i1.115498
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| 6 |
Yuanyuan Xiang. Medical Image Classification Using U-KAN Architecture for Gastrointestinal Pathology Detection. 2025 4th International Conference on Image Processing, Computer Vision and Machine Learning (ICICML) 2025; doi: 10.1109/ICICML67980.2025.11333778
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| 7 |
Wanyu Qiu, Xiao Yang, Zirui Liu, Chen Qiu. Advancing Real-Time Polyp Detection in Colonoscopy Imaging: An Anchor-Free Deep Learning Framework with Adaptive Multi-Scale Perception. Sensors 2025; 25(24) doi: 10.3390/s25247524
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| 8 |
Anna Lucia Cannarozzi, Luca Massimino, Fabrizio Bossa, Federica Ungaro, Anna Laura Pia Di Brina, Francesca Tavano, Mattia Pia Di Cosmo, Alessandra Pia Bisceglia, Maria Guerra, Monica Annese, Francesco Cocomazzi, Giuseppe Biscaglia, Silvio Danese, Anna Latiano, Orazio Palmieri. Machine Learning for Colitis-Associated Cancer in Inflammatory Bowel Disease: Evidence and Future Directions Toward Precision Medicine, a Narrative Review. International Journal of Molecular Sciences 2026; 27(13) doi: 10.3390/ijms27135818
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| 9 |
Kerui Liu, Lingling Fang. Advanced Intelligent Computing Technology and Applications. Lecture Notes in Computer Science 2027; 16671 doi: 10.1007/978-981-92-3498-1_17
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| 10 |
Dan Long, Jinrong Zeng, Qiu Jianting. Artificial intelligence in endoscopic prediction of submucosal invasion in gastric neoplasms: systematic review and meta-analysis. Clinics 2026; 81 doi: 10.1016/j.clinsp.2026.101010
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| 11 |
Riza Pahlevi, E Erwin, Muhammad Fachrurrozi, Setiawan Assegaff. Improve Augmentation Techniques to Image of Blood Vessels in the Eyes. 2025 International Conference on Artificial Intelligence and Technological Solutions (ICAITech) 2025; doi: 10.1109/ICAITech66481.2025.11387717
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| 12 |
Beneilton Martins Leite, Alexandre Cesar Pinto Pessoa, Carlos Eduardo Veras Gomes, Darlan Bruno Pontes Quintanilha. Classificação Multi-Classe de Imagens Endoscópicas Gastrointestinais com GhostNetV3: Uma Abordagem Eficiente para Diagnóstico por Imagem. Anais do XXVI Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2026) 2026; doi: 10.5753/sbcas.2026.21698
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