BPG is committed to discovery and dissemination of knowledge
Cited by in CrossRef
For: Chu Y, Huang F, Gao M, Zou DW, Zhong J, Wu W, Wang Q, Shen XN, Gong TT, Li YY, Wang LF. Convolutional neural network-based segmentation network applied to image recognition of angiodysplasias lesion under capsule endoscopy. World J Gastroenterol 2023; 29(5): 879-889 [PMID: PMC9932427 DOI: 10.3748/wjg.v29.i5.879]
URL: https://www.wjgnet.com/1007-9327/full/v29/i5/879.htm
Number Citing Articles
1
Ahmmad Musha, Rehnuma Hasnat, Abdullah Al Mamun, Em Poh Ping, Tonmoy Ghosh. Computer-Aided Bleeding Detection Algorithms for Capsule Endoscopy: A Systematic ReviewSensors 2023; 23(16): 7170 doi: 10.3390/s23167170
2
Francisco Mendes, Miguel Mascarenhas, Tiago Ribeiro, João Afonso, Pedro Cardoso, Miguel Martins, Hélder Cardoso, Patrícia Andrade, João P. S. Ferreira, Miguel Mascarenhas Saraiva, Guilherme Macedo. Artificial Intelligence and Panendoscopy—Automatic Detection of Clinically Relevant Lesions in Multibrand Device-Assisted EnteroscopyCancers 2024; 16(1): 208 doi: 10.3390/cancers16010208
3
Joana Mota, Maria João Almeida, Francisco Mendes, Miguel Martins, Tiago Ribeiro, João Afonso, Pedro Cardoso, Helder Cardoso, Patrícia Andrade, João Ferreira, Miguel Mascarenhas, Guilherme Macedo. From Data to Insights: How Is AI Revolutionizing Small-Bowel Endoscopy?Diagnostics 2024; 14(3): 291 doi: 10.3390/diagnostics14030291
4
Yaoqi Yu, Jirui Niu, Yin Yu, Silong Xia, Shiheng Sun. AI predictive modeling of survival outcomes for renal cancer patients undergoing targeted therapyScientific Reports 2024; 14(1) doi: 10.1038/s41598-024-77638-6
5
Rui-Ya Zhang, Peng-Peng Qiang, Ling-Jun Cai, Tao Li, Yan Qin, Yu Zhang, Yi-Qing Zhao, Jun-Ping Wang. Automatic detection of small bowel lesions with different bleeding risks based on deep learning modelsWorld Journal of Gastroenterology 2024; 30(2): 170-183 doi: 10.3748/wjg.v30.i2.170
6
Mladen Maksić, Irfan Corović, Isidora Stanisavljević, Dušan Radojević, Tijana Veljković, Željko Todorović, Marina Jovanović, Nataša Zdravković, Bojan Stojanović, Bojana Simović Marković, Ivan Jovanović. Heyde Syndrome Unveiled: A Case Report with Current Literature Review and Molecular InsightsInternational Journal of Molecular Sciences 2024; 25(20): 11041 doi: 10.3390/ijms252011041
7
Ashwin A. George, Jin Lin Tan, Joshua G. Kovoor, Alvin Lee, Brandon Stretton, Aashray K. Gupta, Stephen Bacchi, Biju George, Rajvinder Singh. Artificial intelligence in capsule endoscopy: development status and future expectationsMini-invasive Surgery 2024;  doi: 10.20517/2574-1225.2023.102
8
Miguel Mascarenhas, Francisco Mendes, Tiago Ribeiro, João Afonso, Pedro Marílio Cardoso, Miguel Martins, Hélder Cardoso, Patrícia Andrade, João Ferreira, Miguel Mascarenhas Saraiva, Guilherme Macedo. Deep Learning and Minimally Invasive Endoscopy: Panendoscopic Detection of Pleomorphic LesionsGE - Portuguese Journal of Gastroenterology 2024; 31(6): 408 doi: 10.1159/000539837
9
Said Charfi, Mohamed EL Ansari, Lahcen Koutti, Ilyas ELjaafari, Ayoub ELLahyani. Feature Pyramid Network Based Spatial Attention and Cross‐Level Semantic Similarity for Diseases Segmentation From Capsule Endoscopy ImagesInternational Journal of Imaging Systems and Technology 2024; 34(6) doi: 10.1002/ima.23194
10
Karam Al-Bayati, James K. Stone, Tyler M. Berzin. The Use of Artificial Intelligence for Endoscopic Evaluation of the Small BowelGastrointestinal Endoscopy Clinics of North America 2025;  doi: 10.1016/j.giec.2024.12.001
11
Ashley Bond, Kevin Mccay, Simon Lal. Artificial intelligence & clinical nutrition: What the future might have in storeClinical Nutrition ESPEN 2023; 57: 542 doi: 10.1016/j.clnesp.2023.07.082
12
Said Charfi, Mohamed El Ansari, Lahcen Koutti, Ayoub Ellahyani, Ilyas Eljaafari. Modified residual attention network for abnormalities segmentation and detection in WCE imagesSoft Computing 2024; 28(9-10): 6923 doi: 10.1007/s00500-023-09576-w