J. Wang

Faculteit Medische Wetenschappen/UMCG

Telefoon:

E-mail:

j.wang02 umcg.nl

ORCID Research Portal

Publicaties

A comparison of an integrated and image-only deep learning model for predicting the disappearance of indeterminate pulmonary nodules

Wang, J., Cai, J., Tang, W., Dudurych, I., van Tuinen, M., Vliegenthart, R. & van Ooijen, P., jul.-2025, In: Computerized medical imaging and graphics. 123, 13 blz., 102553.

Onderzoeksoutput › › peer review

Artificial Intelligence to Predict Nodule Disappearance in Lung Cancer Screening

Wang, J., 2025, [Groningen]: University of Groningen. 184 blz.

Onderzoeksoutput

Explainable machine learning model based on clinical factors for predicting the disappearance of indeterminate pulmonary nodules

Wang, J., Sourlos, N., Heuvelmans, M., Prokop, M., Vliegenthart, R. & van Ooijen, P., feb.-2024, In: Computers in biology and medicine. 169, 10 blz., 107871.

Onderzoeksoutput › › peer review

Feature selection and prediction of resolving indeterminate lung nodules based on random forest

Wang, J., van der Velden, N. G., Pelgrim, G. J., Van Ooijen, P. M. A. & Vliegenthart, R., 21-dec.-2023, In: Insights into Imaging. 14, Supplement 4, blz. 35 1 blz., RPS 405-4.

Onderzoeksoutput ›

Predicting the disappearance of indeterminate pulmonary nodules on CT scans based on CNN

Wang, J., okt.-2023.

Onderzoeksoutput ›

Preparing CT imaging datasets for deep learning in lung nodule analysis: Insights from four well-known datasets

Wang, J., Sourlos, N., Zheng, S., van der Velden, N., Pelgrim, G. J., Vliegenthart, R. & van Ooijen, P., jun.-2023, In: Heliyon. 9, 6, 14 blz., e17104.

Onderzoeksoutput › › peer review

Possible Bias in Supervised Deep Learning Algorithms for CT Lung Nodule Detection and Classification

Sourlos, N., Wang, J., Nagaraj, Y., van Ooijen, P. & Vliegenthart, R., aug.-2022, In: Cancers. 14, 16, 15 blz., 3867.

Onderzoeksoutput › peer review

Alle (7) publicaties

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