1. A multiparametric MRI-based machine learning to distinguish between uterine sarcoma and benign leiomyoma: comparison with 18F-FDG PET/CT. Issue 2 (February 2019) Authors: Nakagawa, M.; Nakaura, T.; Namimoto, T.; Iyama, Y.; Kidoh, M.; Hirata, K.; Nagayama, Y.; Oda, S.; Sakamoto, F.; Shiraishi, S.; Yamashita, Y. Journal: Clinical radiology Issue: Volume 74:Issue 2(2019) Page Start: 167.e1 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Applying patient characteristics, stent-graft selection, and pre-operative computed tomographic angiography data to a machine learning algorithm: Is endoleak prediction possible?. Issue 4 (November 2022) Authors: Masuda, T.; Baba, Y.; Nakaura, T.; Funama, Y.; Sato, T.; Masuda, S.; Gotanda, R.; Arao, K.; Imaizumi, H.; Arao, S.; Ono, A.; Hiratsuka, J.; Awai, K. Journal: Radiography Issue: Volume 28:Issue 4(2022) Page Start: 906 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Corrigendum to "Deep learning with convolutional neural network for estimation of the characterisation of coronary plaques: Validation using IB-IVUS" [Radiography 28 (2022) 61–67]. Issue 3 (August 2022) Authors: Masuda, T.; Nakaura, T.; Funama, Y.; Oda, S.; Okimoto, T.; Sato, T.; Noda, N.; Yoshiura, T.; Baba, Y.; Arao, S.; Hiratsuka, J.; Awai, K. Journal: Radiography Issue: Volume 28:Issue 3(2022) Page Start: 661 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Deep learning with convolutional neural network for estimation of the characterisation of coronary plaques: Validation using IB-IVUS. Issue 1 (February 2022) Authors: Masuda, T.; Nakaura, T.; Funama, Y.; Oda, S.; Okimoto, T.; Sato, T.; Noda, N.; Yoshiura, T.; Baba, Y.; Arao, S.; Hiratsuka, J.; Awai, K. Journal: Radiography Issue: Volume 28:Issue 1(2022) Page Start: 61 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Diagnostic performance of computed tomography digital subtraction angiography of the lower extremities during haemodialysis in patients with suspected peripheral artery disease. Issue 3 (August 2021) Authors: Masuda, T.; Funama, Y.; Nakaura, T.; Sato, T.; Okimoto, T.; Masuda, S.; Yamashita, Y.; Yoshiura, T.; Noda, N.; Baba, Y.; Awai, K. Journal: Radiography Issue: Volume 27:Issue 3(2021) Page Start: 888 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Dual-layer detector CT of chest, abdomen, and pelvis with a one-third iodine dose: image quality, radiation dose, and optimal monoenergetic settings. Issue 12 (December 2018) Authors: Nagayama, Y.; Nakaura, T.; Oda, S.; Taguchi, N.; Utsunomiya, D.; Funama, Y.; Kidoh, M.; Namimoto, T.; Sakabe, D.; Hatemura, M.; Yamashita, Y. Journal: Clinical radiology Issue: Volume 73:Issue 12(2018) Page Start: 1058.e21 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Effect of injection duration on contrast enhancement during cardiac computed tomography angiography in newborns and infants. Issue 2 (May 2022) Authors: Masuda, T.; Funama, Y.; Nakaura, T.; Sato, T.; Tahara, M.; Masuda, S.; Yoshiura, T.; Gotanda, R.; Arao, K.; Imaizumi, H.; Arao, S.; Hiratsuka, J.; Awai, K. Journal: Radiography Issue: Volume 28:Issue 2(2022) Page Start: 440 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Efficacy of the spiral flow generating extended tube during paediatric CCTA. Issue 2 (May 2022) Authors: Masuda, T.; Funama, Y.; Nakaura, T.; Sato, T.; Tahara, M.; Yamashita, Y.; Yoshiura, T.; Masuda, S.; Gotanda, R.; Arao, K.; Imaizumi, H.; Arao, S.; Hiratsuka, J.; Awai, K. Journal: Radiography Issue: Volume 28:Issue 2(2022) Page Start: 420 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Enhancement rate of venous phase to portal venous phase computed tomography and its correlation with ultrasound elastography determination of liver fibrosis. Issue 2 (May 2022) Authors: Masuda, T.; Nakaura, T.; Funama, Y.; Sato, T.; Arataki, K.; Oku, T.; Yoshiura, T.; Masuda, S.; Gotanda, R.; Arao, K.; Imaizumi, H.; Arao, S.; Hiratsuka, J.; Awai, K. Journal: Radiography Issue: Volume 28:Issue 2(2022) Page Start: 412 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Machine learning to identify lymph node metastasis from thyroid cancer in patients undergoing contrast-enhanced CT studies. Issue 3 (August 2021) Authors: Masuda, T.; Nakaura, T.; Funama, Y.; Sugino, K.; Sato, T.; Yoshiura, T.; Baba, Y.; Awai, K. Journal: Radiography Issue: Volume 27:Issue 3(2021) Page Start: 920 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗