| Static and dynamic neural networks: from fundamentals to advanced theory M Gupta, L Jin, N Homma John Wiley & Sons, 2004 | 1346 | 2004 |
| Mass detection using deep convolutional neural network for mammographic computer-aided diagnosis S Suzuki, X Zhang, N Homma, K Ichiji, N Sugita, Y Kawasumi, T Ishibashi, ... 2016 55th Annual conference of the society of instrument and control …, 2016 | 110 | 2016 |
| Techniques for estimating blood pressure variation using video images N Sugita, K Obara, M Yoshizawa, M Abe, A Tanaka, N Homma 2015 37th annual international conference of the IEEE engineering in …, 2015 | 72 | 2015 |
| Contactless technique for measuring blood-pressure variability from one region in video plethysmography N Sugita, M Yoshizawa, M Abe, A Tanaka, N Homma, T Yambe Journal of Medical and Biological Engineering 39, 76-85, 2019 | 54 | 2019 |
| Fundamentals of higher order neural networks for modeling and simulation MM Gupta, I Bukovsky, N Homma, AMG Solo, ZG Hou Artificial Higher Order Neural Networks for Modeling and Simulation, 103-133, 2013 | 53 | 2013 |
| A hybrid image filtering method for computer-aided detection of microcalcification clusters in mammograms X Zhang, N Homma, S Goto, Y Kawasumi, T Ishibashi, M Abe, N Sugita, ... Journal of Medical Engineering 2013, 2013 | 41 | 2013 |
| A fast neural network approach to predict lung tumor motion during respiration for radiation therapy applications I Bukovsky, N Homma, K Ichiji, M Cejnek, M Slama, PM Benes, J Bila BioMed research international 2015, 2015 | 37 | 2015 |
| Diagnosis of influenza by means of fluorescent antibody technique. I Tateno, S Suzuki, A Kawamura Jr, H Kawashima, N Kusano, Y Aoyama, ... Jikken Igaku Zasshi= Japanese Journal of Experimental Medicine 32 (6), 531-59, 1962 | 29 | 1962 |
| Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications I Bukovsky, N Homma, L Smetana, R Rodriguez, M Mironovova, S Vrana 9th IEEE International Conference on Cognitive Informatics (ICCI'10), 556-560, 2010 | 28 | 2010 |
| < Original Papers> A General Second-order Neural Unit N HOMMA, MM GUPTA 東北大学医療技術短期大学部紀要= Bulletin of College of Medical Sciences …, 2002 | 28 | 2002 |
| An approach to stable gradient-descent adaptation of higher order neural units I Bukovsky, N Homma IEEE transactions on neural networks and learning systems 28 (9), 2022-2034, 2016 | 26 | 2016 |
| A kernel-based method for markerless tumor tracking in kV fluoroscopic images X Zhang, N Homma, K Ichiji, M Abe, N Sugita, Y Takai, Y Narita, ... Physics in Medicine & Biology 59 (17), 4897, 2014 | 26 | 2014 |
| Quantitative activation-induced manganese-enhanced MRI reveals severity of Parkinson’s disease in mice S Kikuta, Y Nakamura, Y Yamamura, A Tamura, N Homma, Y Yanagawa, ... Scientific reports 5 (1), 12800, 2015 | 25 | 2015 |
| Solving convex optimization problems using recurrent neural networks in finite time L Cheng, ZG Hou, N Homma, M Tan, MM Gupta 2009 International Joint Conference on Neural Networks, 538-543, 2009 | 23 | 2009 |
| A deep learning aided drowning diagnosis for forensic investigations using post-mortem lung CT images N Homma, X Zhang, A Qureshi, T Konno, Y Kawasumi, A Usui, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 22 | 2020 |
| Higher order neural networks: fundamental theory and applications MM Gupta, N Homma, ZG Hou, AMG Solo, I Bukovsky Artificial higher order neural networks for computer science and engineering …, 2010 | 22 | 2010 |
| Tracking tumor boundary in MV‐EPID images without implanted markers: A feasibility study X Zhang, N Homma, K Ichiji, Y Takai, M Yoshizawa Medical physics 42 (5), 2510-2523, 2015 | 21 | 2015 |
| Potentials of quadratic neural unit for applications R Rodriguez, I Bukovsky, N Homma International Journal of Software Science and Computational Intelligence …, 2011 | 17 | 2011 |
| A new motion management method for lung tumor tracking radiation therapy N Homma, M Sakai, H Endo, M Mitsuya, Y Takai, M Yoshizawa WSEAS Transactions on Systems 8 (4), 471-480, 2009 | 17 | 2009 |
| Classification of mammographic masses by deep learning X Zhang, T Sasaki, S Suzuki, Y Takane, Y Kawasumi, T Ishibashiz, ... 2017 56th Annual Conference of the Society of Instrument and Control …, 2017 | 15 | 2017 |
