T. Kaga

发表

Unenhanced abdominal low-dose CT reconstructed with deep learning-based image reconstruction: image quality and anatomical structure depiction

Y. Noda, H. Kato, M. Matsuo, 2022, Japanese Journal of Radiology.

Deep-learning image-reconstruction algorithm for dual-energy CT angiography with reduced iodine dose: preliminary results.

Y. Noda, H. Kato, M. Matsuo, 2021, Clinical radiology.

Can MRI features differentiate ovarian mucinous carcinoma from mucinous borderline tumor?

Y. Hatano, H. Kato, M. Matsuo, 2020, European journal of radiology.

Low-dose whole-body CT using deep learning image reconstruction: image quality and lesion detection.

A. Kambadakone, Y. Noda, M. Matsuo, 2021, The British journal of radiology.

Determination of arterial invasion in pancreatic ductal adenocarcinoma: what is the best diagnostic criterion on CT?

A. Kambadakone, Y. Noda, H. Kato, 2023, European Radiology.

Diffusion-weighted imaging of the abdomen using echo planar imaging with compressed SENSE: Feasibility, image quality, and ADC value evaluation.

Y. Noda, H. Kato, M. Matsuo, 2021, European Journal of Radiology.

Radiation and iodine dose reduced thoraco-abdomino-pelvic dual-energy CT at 40 keV reconstructed with deep learning image reconstruction.

Y. Noda, H. Kato, M. Matsuo, 2022, The British journal of radiology.

Non-invasive regional cerebral blood flow quantification in the 123I-IMP autoradiography using artificial neural network

T. Iwama, Y. Noda, H. Kato, 2023, PloS one.

Comparison of image quality, arterial depiction, and radiation dose between two rapid kVp-switching dual-energy CT scanners in CT angiography at 40-keV.

Y. Noda, H. Kato, T. Miyoshi, 2023, Japanese journal of radiology.

Vascular involvement and resectability of pancreatic ductal adenocarcinoma on contrast-enhanced MRI: comparison with pancreatic protocol CT

A. Kambadakone, Y. Noda, H. Kato, 2022, Abdominal Radiology.

Virtual monochromatic image at lower energy level for assessing pancreatic ductal adenocarcinoma in fast kV-switching dual-energy CT.

S. Goshima, Y. Noda, M. Matsuo, 2019, Clinical radiology.

Deep-learning-based image reconstruction in dynamic contrast-enhanced abdominal CT: image quality and lesion detection among reconstruction strength levels.

Y. Noda, M. Matsuo, T. Miyoshi, 2021, Clinical radiology.

Prediction of overall survival in patients with pancreatic ductal adenocarcinoma: histogram analysis of ADC value and correlation with pathological intratumoral necrosis

H. Tomita, A. Kambadakone, Y. Noda, 2022, BMC Medical Imaging.

Comparison of image quality and pancreatic ductal adenocarcinoma conspicuity between the low-kVp and dual-energy CT reconstructed with deep-learning image reconstruction algorithm.

Y. Noda, H. Kato, T. Miyoshi, 2022, European journal of radiology.

Radiomics Features Using Dual-energy CT for Lymph Nodes After Preoperative Chemotherapy for Esophageal Cancer

Y. Noda, T. Miyoshi, N. Matsuhashi, 2024, AntiCancer Research.

Delayed diagnosis of Lemierre’s syndrome in a patient with severe coronavirus disease 2019: importance of comprehensive oral and neck examination – a case report

Shinji Ogura, Hideshi Okada, S. Yoshida, 2023, BMC Infectious Diseases.