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World Journal of Hepatology|June 8, 2017
Image quality and diagnostic performance of free-breathing diffusion-weighted imaging for hepatocellular carcinomaYukihisa Takayama, Akihiro Nishie, Yoshiki Asayama, et al.Journal of Gastroenterology and Hepatology|October 1, 2008
Biliary phenotype of hepatocellular carcinoma after preoperative transcatheter arterial chemoembolizationYunosuke Nishihara, Shinichi Aishima, Yousuke Kuroda, et al.European Radiology|July 27, 2014
Hepatocellular carcinoma: clinical significance of signal heterogeneity in the hepatobiliary phase of gadoxetic acid-enhanced MR imagingNobuhiro Fujita, Akihiro Nishie, Yuichiro Kubo, et al.Clinical Imaging|July 19, 2014
Hepatocellular adenoma showing high uptake of (18)F-fluorodeoxyglucose (FDG) via an increased expression of glucose transporter 2 (GLUT-2)Takaaki Nakashima, Yukihisa Takayama, Akihiro Nishie, et al.Radiographics : a Review Publication of the Radiological Society of North America, Inc|December 14, 2019
Hyperintense Liver Masses at Hepatobiliary Phase Gadoxetic Acid-enhanced MRI: Imaging Appearances and Clinical ImportanceNobuhiro Fujita, Akihiro Nishie, Yoshiki Asayama, et al.AJR. American Journal of Roentgenology|March 22, 2002
Sequential hemodynamic change in hepatocellular carcinoma and dysplastic nodules: CT angiography and pathologic correlationTsuyoshi Tajima, Hiroshi Honda, Kenichi Taguchi, et al.Journal of Magnetic Resonance Imaging : JMRI|February 4, 2006
Papillary renal carcinoma: diagnostic approach by chemical shift gradient-echo and echo-planar MR imagingKengo Yoshimitsu, Daisuke Kakihara, Hiroyuki Irie, et al.CVIR Endovascular|November 2, 2021
Angiographic features and transarterial embolization of retained placenta with abnormal vaginal bleedingRyo Takaji, Hiro Kiyosue, Miyuki Maruno, et al.Biomed Research International|November 27, 2015
MR Prediction of Liver Function and Pathology Using Gd-EOB-DTPA: Effect of Liver Volume ConsiderationDai Shimamoto, Akihiro Nishie, Yoshiki Asayama, et al.Journal of Applied Clinical Medical Physics|November 24, 2025
An exploratory study of explainable deep learning for predicting bone mineral density using clavicle features on chest radiographs: A multi-task approach with regression and segmentationYoshiyuki Iwao, Kenshi Shiotsuki, Fumio Hashimoto, et al.Pageof 18