Hiromu Nishitani

Masako Minato Taki, Masafumi Harada, Kenji Mori, Hitoshi Kubo, Ayumi Nose, Tsuyoshi Matsuda, Hiromu Nishitani: High gamma-aminobutyric acid level in cortical tubers in epileptic infants with tuberous sclerosis complex measured with the MEGA-editing J-difference method and a three-Tesla clinical MRI Instrument. NeuroImage 47(4): 1207-1214 (2009)

Shuichi Toyoda, Noboru Niki, Hiromu Nishitani: SAKURA-Viewer: Intelligent Order History Viewer Based on Two-Viewpoint Architecture. IEEE Transactions on Information Technology in Biomedicine 11(2): 141-152 (2007)

Shuichi Toyoda, Noboru Niki, Hiromu Nishitani: A Test-Data Management Function for Chronic Condition Patients. CBMS 2007: 707-712

Shuichi Toyoda, Noboru Niki, Tetsuya Uemura, Hiromu Nishitani: Clinical support system using information aggregation and visualization for order data. Systems and Computers in Japan 36(1): 12-24 (2005)

Kiyonari Inamura, Junji Konishi, Hiromu Nishitani, Susumu Kousaka, Yasushi Matsumura, Hiroshi Takeda, Hiroshi Kondoh: Status of PACS and technology assessment in Japan. Computer Methods and Programs in Biomedicine 66(1): 5-15 (2001)

Hiroshi Kondoh, Hiromu Nishitani, Takeshi Washiashi: Users' behavior and performance of general-purpose color CRT monitors of PACS in the wards. CARS 2001: 785-790

Rachid Sammouda, Noboru Niki, Hiromu Nishitani: Hopfield neural network for the multichannel segmentation of magnetic resonance cerebral images. Pattern Recognition 30(6): 921-927 (1997)

Rachid Sammouda, Noboru Niki, Hiromu Nishitani, S. Nakamura, S. Mori: Segmentation of Sputum Color Image for Lung Cancer Diagnosis Based on Neural Networks. ICIAP (2) 1997: 461-468

Rachid Sammouda, Noboru Niki, Hiromu Nishitani, S. Nakamura, S. Mori: Segmentation of Sputum Color Image for Lung Cancer Diagnosis. ICIP (1) 1997: 243-246

Rachid Sammouda, Noboru Niki, Hiromu Nishitani: Multichannel segmentation of magnetic resonance cerebral images based on neural networks. ICIP 1995: 484-487

Rachid Sammouda, Noboru Niki, Hiromu Nishitani: Neural Networks for the Segmentation of Magnetic Resonance Images. ICSC 1995: 339-346