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BJU International|May 18, 2018
Computer-aided diagnosis of prostate cancer on magnetic resonance imaging using a convolutional neural network algorithmJunichiro Ishioka, Yoh Matsuoka, Sho Uehara, et al.
Urology|December 7, 2010
A novel repeat biopsy nomogram based on three-dimensional extended biopsyMizuaki Sakura, Satoru Kawakami, Junichiro Ishioka, et al.
Urology|January 30, 2022
Improving Accuracy, Reliability, and Efficiency of the RENAL Nephrometry Score With 3D Reconstructed Virtual ImagingKasumi Kaneko Yoshitomi, Yoshinobu Komai, Tatsuya Yamamoto, et al.
International Urology and Nephrology|March 27, 2013
Diagnostic performance of initial transperineal 14-core prostate biopsy to detect significant cancerHideki Takeshita, Noboru Numao, Toshiki Kijima, et al.
Cancer Immunology, Immunotherapy : CII|September 3, 2020
Early C-reactive protein kinetics predict survival of patients with advanced urothelial cancer treated with pembrolizumabToshiki Kijima, Hina Yamamoto, Kazutaka Saito, et al.
Japanese Journal of Clinical Oncology|March 12, 2026
Real-world insights from comprehensive genomic profiling in patients with metastatic castration-resistant prostate cancerYosuke Yasuda, Soichiro Yoshida, Sadakatsu Ikeda, et al.
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