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Cited by in CrossRef
For: Viscaino M, Torres Bustos J, Muñoz P, Auat Cheein C, Cheein FA. Artificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages and misconceptions. World J Gastroenterol 2021; 27(38): 6399-6414 [PMID: 34720530 DOI: 10.3748/wjg.v27.i38.6399]
URL: https://www.wjgnet.com/1007-9327/full/v27/i38/6399.htm
Number Citing Articles
1
Chen-Ming Hsu, Chien-Chang Hsu, Zhe-Ming Hsu, Tsung-Hsing Chen, Tony Kuo. Intraprocedure Artificial Intelligence Alert System for Colonoscopy ExaminationSensors 2023; 23(3): 1211 doi: 10.3390/s23031211
2
Siddhartha Kapuria, Tarunraj G. Mohanraj, Nethra Venkatayogi, Ozdemir Can Kara, Yuki Hirata, Patrick Minot, Ariel Kapusta, Naruhiko Ikoma, Farshid Alambeigi. Towards Reliable Colorectal Cancer Polyps Classification via Vision Based Tactile Sensing and Confidence-Calibrated Neural Networks2023 International Symposium on Medical Robotics (ISMR) 2023; : 1 doi: 10.1109/ISMR57123.2023.10130197
3
Pankaj Kumar Tripathi, Chakresh Kumar Jain. Advancements in Bio-Medical Image Processing and Authentication in TelemedicineAdvances in Medical Technologies and Clinical Practice 2023; : 54 doi: 10.4018/978-1-6684-6957-6.ch004
4
Erica Quagliarini, Luca Digiacomo, Damiano Caputo, Alessandro Coppola, Heinz Amenitsch, Giulio Caracciolo, Daniela Pozzi. Magnetic Levitation of Personalized Nanoparticle–Protein Corona as an Effective Tool for Cancer DetectionNanomaterials 2022; 12(9): 1397 doi: 10.3390/nano12091397
5
Luqing Zhao, Nan Wang, Xihan Zhu, Zhenyu Wu, Aihua Shen, Lihong Zhang, Ruixin Wang, Dianpeng Wang, Shengsheng Zhang. Establishment and validation of an artificial intelligence-based model for real-time detection and classification of colorectal adenomaScientific Reports 2024; 14(1) doi: 10.1038/s41598-024-61342-6
6
Alba Nogueira-Rodríguez, Miguel Reboiro-Jato, Daniel Glez-Peña, Hugo López-Fernández. Performance of Convolutional Neural Networks for Polyp Localization on Public Colonoscopy Image DatasetsDiagnostics 2022; 12(4): 898 doi: 10.3390/diagnostics12040898
7
Hongfei Yao, Peng Liu, Linli Yao, Xiao Li. Establishment of disulfidptosis-related LncRNA signature as biomarkers in colon adenocarcinomaCancer Cell International 2024; 24(1) doi: 10.1186/s12935-024-03374-6
8
Arcangelo Picciariello, Agnese Dezi, Leonardo Vincenti, Marcello Giuseppe Spampinato, Wenzhe Zang, Pamela Riahi, Jared Scott, Ruchi Sharma, Xudong Fan, Donato F. Altomare. Colorectal Cancer Diagnosis through Breath Test Using a Portable Breath Analyzer—Preliminary DataSensors 2024; 24(7): 2343 doi: 10.3390/s24072343
9
Adriel Abraham, Rejath Jose, Jawad Ahmad, Jai Joshi, Thomas Jacob, Aziz-ur-rahman Khalid, Hassam Ali, Pratik Patel, Jaspreet Singh, Milan Toma. Comparative Analysis of Machine Learning Models for Image Detection of Colonic Polyps vs. Resected PolypsJournal of Imaging 2023; 9(10): 215 doi: 10.3390/jimaging9100215
10
Zugang Yin, Chenhui Yao, Limin Zhang, Shaohua Qi. Application of artificial intelligence in diagnosis and treatment of colorectal cancer: A novel ProspectFrontiers in Medicine 2023; 10 doi: 10.3389/fmed.2023.1128084
11
Serlie Hartoonian, Matine Hosseini, Iman Yousefi, Mina Mahdian, Mitra Ghazizadeh Ahsaie. Applications of artificial intelligence in dentomaxillofacial imaging–a systematic reviewOral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 2024;  doi: 10.1016/j.oooo.2023.12.790
12
Nethra Venkatayogi, Qin Hu, Ozdemir Can Kara, Tarunraj G. Mohanraj, S. Farokh Atashzar, Farshid Alambeigi. On the Potentials of Surface Tactile Imaging and Dilated Residual Networks for Early Detection of Colorectal Cancer Polyps2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023; : 4655 doi: 10.1109/IROS55552.2023.10342161
13
Yangzi Ren, Shangwen He, Siyang Feng, Wei Yang. A Prognostic Model for Colon Adenocarcinoma Patients Based on Ten Amino Acid Metabolism Related GenesFrontiers in Public Health 2022; 10 doi: 10.3389/fpubh.2022.916364
14
Alba Nogueira-Rodríguez, Daniel Glez-Peña, Miguel Reboiro-Jato, Hugo López-Fernández. Negative Samples for Improving Object Detection—A Case Study in AI-Assisted Colonoscopy for Polyp DetectionDiagnostics 2023; 13(5): 966 doi: 10.3390/diagnostics13050966
15
Siddhartha Kapuria, Naruhiko Ikoma, Sandeep Chinchali, Farshid Alambeigi, Shandong Wu, Hiroyuki Yoshida. Enhancing colorectal cancer diagnosis through generative models and vision-based tactile sensing: a Sim2Real studyMedical Imaging 2024: Imaging Informatics for Healthcare, Research, and Applications 2024; : 23 doi: 10.1117/12.3006550
16
Aashna Mehta, Wireko Andrew Awuah, Sucharu Asri, Muhammad Jawad Zahid, Jyi Cheng Ng, Heli Patel, Helen Huang, Katherine Candelario, Ayush Anand, Toufik-Abdul Rahman, Vladyslav Sikora, Arda Isik. Exploration of Artificial Intelligence and Blockchain Technology in Smart and Secure HealthcareAdvances in Computing Communications and Informatics 2024; 7: 111 doi: 10.2174/9789815165432124070008
17
Jothiraj Selvaraj, A. K. Jayanthy. Design and development of artificial intelligence‐based application programming interface for early detection and diagnosis of colorectal cancer from wireless capsule endoscopy imagesInternational Journal of Imaging Systems and Technology 2024; 34(2) doi: 10.1002/ima.23034
18
Nethra Venkatayogi, Ozdemir Can Kara, Jeff Bonyun, Naruhiko Ikoma, Farshid Alambeigi. Classification of Colorectal Cancer Polyps via Transfer Learning and Vision-Based Tactile Sensing2022 IEEE Sensors 2022; : 1 doi: 10.1109/SENSORS52175.2022.9967308
19
Marco Spadaccini, Joel Troya, Kareem Khalaf, Antonio Facciorusso, Roberta Maselli, Alexander Hann, Alessandro Repici. Artificial Intelligence-assisted colonoscopy and colorectal cancer screening: Where are we going?Digestive and Liver Disease 2024;  doi: 10.1016/j.dld.2024.01.203