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ORCIDDaisuke Fujita
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2020 – today
- 2023
[c17]Tatsuya Mori, Daisuke Fujita, Tomokazu Hayashi, Takashi Mizobe, Hideo Aihara, Syoji Kobashi:
Radiomics Based Prediction of Symptomatic Carotid Plaque in MR Images. ICMLC 2023: 315-320- [c16]Ryunosuke Maeda, Daisuke Fujita, Kosuke Tanaka, Jyunichi Ozawa, Mitsuhiro Haga, Naoyuki Miyahara, Fumihiko Nanba, Syoji Kobashi:
Predicting the Development of Chronic Lung Disease in Neonataes from Chest X-ray Images Using Deep Learning. ISMVL 2023: 48-53 - [c15]Kenta Sasaki, Daisuke Fujita, Kenta Takatsuji, Yoshihiro Kotoura, Tsuyoshi Sukenari, Masataka Minami, Yusuke Kobayashi, Yoshikazu Kida, Kenji Takahashi, Syoji Kobashi:
Detection of osteochondritis dissecans using convolutional neural networks for computer-aided diagnosis of baseball elbow. ISMVL 2023: 59-63 - [c14]Noriyasu Kondo, Daisuke Fujita, Syoji Kobashi, Takayuki Fujita:
Prediction of Bed-Leaving Behaviors Using Edge AI to Prevent Medical Accidents. SMC 2023: 1652-1657 - 2022
- [j7]Kohei Nakatsu, Rashedur Rahman
, Kento Morita, Daisuke Fujita, Syoji Kobashi:
Automatic Carpal Site Detection Method for Evaluation of Rheumatoid Arthritis Using Deep Learning. J. Adv. Comput. Intell. Intell. Informatics 26(1): 42-50 (2022) - [c13]Kazunori Oka, Anas Ali, Daisuke Fujita, Syoji Kobashi:
Tooth Recognition in X-Ray Dental Panoramic Images with Prosthetic Detection. ICMLC 2022: 109-114 - [c12]Naoto Yamamoto, Daisuke Fujita, Md. Rashedur Rahman, Naomi Yagi, Keigo Hayashi, Akihiro Maruo, Hirotsugu Muratsu, Syoji Kobashi:
The challenge of detecting impact fracture of the pelvis in CT images using the CNN model. LifeTech 2022: 170-171 - [c11]Ren Morita, Saya Ando, Daisuke Fujita, Sho Ishikawa, Koji Onoue, Kumiko Ando, Reiichi Ishikura, Syoji Kobashi:
Quantification of Pediatric Brain Development with X-ray CT Images using 3D-CNN. SCIS/ISIS 2022: 1-3 - [c10]Yamato Muroi, Daisuke Fujita, Kazumi Takahama, Syoji Kobashi, Takayuki Fujita:
Medical Tubing Self-Extraction Trouble Avoidance Support System Using Flexible Sensor and IoT. SCIS/ISIS 2022: 1-5 - [c9]Kenta Sasaki, Daisuke Fujita, Kenta Takatsuji, Yoshihiro Kotoura, Masataka Minami, Yusuke Kobayashi, Tsuyoshi Sukenari, Yoshikazu Kida, Kenji Takahashi, Syoji Kobashi:
Detection of osteochondritis dissecans in ultrasound images for computer-aided diagnosis of baseball elbow. SMC 2022: 1537-1542 - [c8]Ryunosuke Maeda, Daisuke Fujita, Kosuke Tanaka, Jyunichi Ozawa, Mitsuhiro Haga, Haoyuki Miyahara, Fumihiko Nanba, Syoji Kobashi:
Predicting the severity of Neonatal Chronic Lung Disease from chest X-ray images using deep learning. SMC 2022: 1543-1547 - [c7]Ren Morita, Saya Ando, Daisuke Fujita, Sho Ishikawa, Koji Onoue, Kumiko Ando, Reiichi Ishikura, Syoji Kobashi:
Pediatric Brain CT Image Segmentation Methods for Effective Age Prediction Models. WAC 2022: 408-412 - 2021
- [c6]Ren Morita, Saya Ando, Daisuke Fujita, Manabu Nii, Kumiko Ando, Reiichi Ishikura, Syoji Kobashi:
Brain Devlopment Age Prediction Using Convolutnal Neural Network on Pediatrics Brain Ct Mages. ICMLC 2021: 1-6 - [c5]Kazunori Oka, Daisuke Fujita, Yasunobu Nohara, Sozo Inoue, Koichi Arimura, Koji Iihara, Syoji Kobashi:
CNN Based Hierarchical Intracerebral Hematoma Region Extraction Method in Head Thick-Slice CT Images. ICMLC 2021: 1-5 - [c4]Naoto Yamamoto, Daisuke Fujita, Md. Rashedur Rahman, Naomi Yagi, Keigo Hayashi, Akihiro Maruo, Hirotsugu Muratsu, Shoji Kobashi:
Boring Survey Based Fracture Detection (BSFD) for Fragility Fracture of the Pelvis in CT Images. ICMLC 2021: 1-5 - [c3]Kohei Nakatsu, Kento Morita, Daisuke Fujita, Syoji Kobashi:
Comparison of Machine Learning Methods for Predicting Modified Total Shape Score in X-ray Radiography. WAC 2021: 86-91 - 2020
- [j6]Pushpendra Singh, Komal Saxena, Anup Singhania, Pathik Sahoo, Subrata Ghosh, Rutuja Chhajed, Kanad Ray, Daisuke Fujita, Anirban Bandyopadhyay:
A Self-Operating Time Crystal Model of the Human Brain: Can We Replace Entire Brain Hardware with a 3D Fractal Architecture of Clocks Alone? Inf. 11(5): 238 (2020)
2010 – 2019
- 2019
- [j5]Daisuke Fujita, Arata Suzuki:
Evaluation of the Possible Use of PPG Waveform Features Measured at Low Sampling Rate. IEEE Access 7: 58361-58367 (2019) - 2018
- [j4]Hongchao Liu, Daisuke Fujita, Ling Zhang, Arata Suzuki:
Real-Time Pulse Waveform Profiling Algorithm for Wearable Applications. IEEE Access 6: 59296-59306 (2018) - 2014
- [j3]Subrata Ghosh, Krishna Aswani, Surabhi Singh, Satyajit Sahu, Daisuke Fujita, Anirban Bandyopadhyay:
Design and Construction of a Brain-Like Computer: A New Class of Frequency-Fractal Computing Using Wireless Communication in a Supramolecular Organic, Inorganic System. Inf. 5(1): 28-100 (2014) - [i2]Subrata Ghosh, Krishna Aswani, Surabhi Singh, Satyajit Sahu, Daisuke Fujita, Anirban Bandyopadhyay:
Design and Construction of a Brain-Like Computer: A New Class of Frequency-Fractal Computing Using Wireless Communication in a Supramolecular Organic, Inorganic System. CoRR abs/1401.7411 (2014) - 2012
- [j2]Satyajit Sahu, Hiroshi Oono, Subrata Ghosh, Anirban Bandyopadhyay, Daisuke Fujita, Ferdinand Peper, Teijiro Isokawa, Ranjit Pati:
On Cellular Automata rules of molecular arrays. Nat. Comput. 11(2): 311-321 (2012) - 2011
- [i1]Anirban Bandyopadhyay, Ranjit Pati, Satyajit Sahu, Ferdinand Peper, Daisuke Fujita:
Massively parallel computing on an organic molecular layer. CoRR abs/1110.5844 (2011) - 2010
- [c2]Satyajit Sahu, Hiroshi Oono, Subrata Ghosh, Anirban Bandyopadhyay, Daisuke Fujita, Ferdinand Peper, Teijiro Isokawa, Ranjit Pati:
Molecular Implementations of Cellular Automata. ACRI 2010: 650-659
2000 – 2009
- 2009
- [j1]Anirban Bandyopadhyay, Daisuke Fujita, Ranjit Pati:
Architecture of a Massively Parallel Processing Nano-Brain Operating 100 Billion Molecular Neurons Simultaneously. Int. J. Nanotechnol. Mol. Comput. 1(1): 50-80 (2009) - [c1]Anirban Bandyopadhyay, Rishi Bhartiya, Satyajit Sahu, Daisuke Fujita:
Investigating Universal Computability of Conventional Cellular Automata Problems on an Organic Molecular Matrix. IWNC 2009: 1-12
Coauthor Index
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