Takeshi Yoshikawa

发表

Computerized implementation of higher‐order electron‐correlation methods and their linear‐scaling divide‐and‐conquer extensions

Masahiko Nakano, Takeshi Yoshikawa, So Hirata, 2017, J. Comput. Chem..

Application of reinforcement learning to the card game Wizard

Masanori Sugimoto, Takeshi Yoshikawa, Jana Cathrin Backhus, 2013, 2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE).

Surface Reaction of Blast Furnace Slag under Hydrothermal Conditions

Takeshi Yoshikawa, Nakamichi Yamasaki, Toshihiro Tanaka, 2014 .

An Acquiring Method of Macro-Actions in Reinforcement Learning

Takeshi Yoshikawa, Masahito Kurihara, M. Kurihara, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Finding Communities Using User Preference in Web Structure Mining

Takeshi Yoshikawa, Hidetoshi Nonaka, 2011, J. Adv. Comput. Intell. Intell. Informatics.

Efficient pole‐search algorithm for dynamic polarizability: Toward alternative excited‐state calculation for large systems

Takeshi Yoshikawa, Hiromi Nakai, Yutaro Nonaka, 2017, J. Comput. Chem..

Linear‐scaling self‐consistent field calculations based on divide‐and‐conquer method using resolution‐of‐identity approximation on graphical processing units

Takeshi Yoshikawa, Hiromi Nakai, H. Nakai, 2015, J. Comput. Chem..

Use of highly accurate GPS in network-based barrier-free street map creation system

Takeshi Yoshikawa, Masahito Kurihara, Hidetoshi Nonaka, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

Adaptive Kanban control systems for two-stage production lines

Takeshi Yoshikawa, Katsuhiko Takahashi, Katsumi Morikawa, 2010, Int. J. Manuf. Technol. Manag..

Characteristic Analysis of Agents in Adaptive Consensus Formation Models

Takeshi Yoshikawa, Masahito Kurihara, Tamotsu Mitamura, 2005, WSTST.

Analysis of Connectedness of the Fixed Radius Random Graph Model in One-dimensional Space

Takeshi Yoshikawa, Masahito Kurihara, Ai Noshiro, 2005, WSTST.

Supervised Learning for Agent Positioning by using Self-organizing Map

Takeshi Yoshikawa, Hidetoshi Nonaka, Kazuma Moriyasu, 2010, ICEIS.

RAQET: Large‐scale two‐component relativistic quantum chemistry program package

Masahiko Nakano, Takeshi Yoshikawa, So Hirata, 2018, J. Comput. Chem..

Image Overlay Support with 3DCG Organ Model for Robot-Assisted Laparoscopic Partial Nephrectomy

Masanao Koeda, Katsuhiko Onishi, Hiroshi Noborio, 2016, HCI.

Focal liver lesions: Breathhold gradient‐ and spin‐echo T2‐weighted imaging for detection and characterization

Takeshi Yoshikawa, Shozo Hirota, Yoshiharu Ohno, 2006, Journal of magnetic resonance imaging : JMRI.

Adaptive iterative dose reduction using 3D processing for reduced- and low-dose pulmonary CT: comparison with standard-dose CT for image noise reduction and radiological findings.

Takeshi Yoshikawa, Sumiaki Matsumoto, Naoki Sugihara, 2012, AJR. American journal of roentgenology.

ADC measurement of abdominal organs and lesions using parallel imaging technique.

Takeshi Yoshikawa, Yoshiharu Ohno, Kazuro Sugimura, 2006, AJR. American journal of roentgenology.

Clinical utility of apparent diffusion coefficient values obtained using high b‐value when diagnosing prostate cancer using 3 tesla MRI: Comparison between ultra‐high b‐value (2000 s/mm2) and standard high b‐value (1000 s/mm2)

Takeshi Yoshikawa, Yoshiharu Ohno, Makoto Obara, 2012, Journal of magnetic resonance imaging : JMRI.

Unenhanced and Contrast-Enhanced MR Angiography and Perfusion Imaging for Suspected Pulmonary Thromboembolism.

Takeshi Yoshikawa, Yoshiharu Ohno, Yuji Kishida, 2017, AJR. American journal of roentgenology.

Dynamic contrast-enhanced perfusion area-detector CT assessed with various mathematical models: Its capability for therapeutic outcome prediction for non-small cell lung cancer patients with chemoradiotherapy as compared with that of FDG-PET/CT.

Takeshi Yoshikawa, Naoki Sugihara, Yasuko Fujisawa, 2017, European journal of radiology.

Emphysema quantification by low-dose CT: potential impact of adaptive iterative dose reduction using 3D processing.

Takeshi Yoshikawa, Mizuho Nishio, Sumiaki Matsumoto, 2012, AJR. American journal of roentgenology.

Emphysema Quantification Using Ultralow-Dose CT With Iterative Reconstruction and Filtered Back Projection.

Takeshi Yoshikawa, Mizuho Nishio, Yoshiharu Ohno, 2016, AJR. American journal of roentgenology.

Magnetic Resonance Imaging for Lung Cancer

Takeshi Yoshikawa, Mizuho Nishio, Sumiaki Matsumoto, 2013, Journal of thoracic imaging.

Emphysema quantification on low-dose CT using percentage of low-attenuation volume and size distribution of low-attenuation lung regions: effects of adaptive iterative dose reduction using 3D processing.

Takeshi Yoshikawa, Mizuho Nishio, Sumiaki Matsumoto, 2014, European journal of radiology.

Hepatic CT perfusion measurements: a feasibility study for radiation dose reduction using new image reconstruction method.

Takeshi Yoshikawa, Tohru Murakami, Naoki Sugihara, 2012, European journal of radiology.