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	1	Interpretable MRI Subregional Radiomics-Deep Learning Model for Preoperative Lymphovascular Invasion Prediction in Rectal Cancer: A Dual-Center Study Enthalten in Journal of imaging informatics in medicine 11.7.2025: 1-12
	2	Diagnostic accuracy of the muscle-retracting sign for determining deep submucosal invasion in early rectal cancer: a prospective observational study Enthalten in Endoscopy 10.06.2025
	3	The value of deep learning and radiomics models in predicting preoperative serosal invasion in gastric cancer: a dual-center study Enthalten in Abdominal radiology 26.4.2025: 1-13
	4	The value of radiomics and deep learning based on PET/CT in predicting perineural nerve invasion in rectal cancer Enthalten in Abdominal radiology 7.3.2025: 1-10
	5	Preoperative discrimination of absence or presence of myometrial invasion in endometrial cancer with an MRI-based multimodal deep learning radiomics model Enthalten in Abdominal radiology 2.1.2025: 1-12
	6	Multiparametric MRI-based radiomics combined with 3D deep transfer learning to predict cervical stromal invasion in patients with endometrial carcinoma Enthalten in Abdominal radiology 14.9.2024: 1-12
	7	Ultra-high resolution computed tomography with deep-learning-reconstruction: diagnostic ability in the assessment of gastric cancer and the depth of invasion Enthalten in Abdominal radiology 28.6.2024: 1-7
	8	Preoperative evaluation of visceral pleural invasion in peripheral lung cancer utilizing deep learning technology Enthalten in Surgery today 23.5.2024: 1-11
	9	Predicting microvascular invasion in hepatocellular carcinoma with a CT- and MRI-based multimodal deep learning model Enthalten in Abdominal radiology 3.3.2024: 1-14
	10	Predicting muscle invasion in bladder cancer by deep learning analysis of MRI: comparison with vesical imaging–reporting and data system Enthalten in European radiology 25.11.2022: 1-11

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