Investigating Universal Computability of Conventional Cellular Automata Problems on an Organic Molecular Matrix. - Anirban Bandyopadhyay; Rishi Bhartiya; Satyajit Sahu; Daisuke Fujita (IWNC, 2009)

Architecture of a Massively Parallel Processing Nano-Brain Operating 100 Billion Molecular Neurons Simultaneously. - Anirban Bandyopadhyay; Daisuke Fujita; Ranjit Pati (Int. J. Nanotechnol. Mol. Comput., 2009)

Molecular Implementations of Cellular Automata. - Satyajit Sahu; Hiroshi Oono; Subrata Ghosh; Anirban Bandyopadhyay; Daisuke Fujita; Ferdinand Peper; Teijiro Isokawa; Ranjit Pati (ACRI, 2010)

Massively parallel computing on an organic molecular layer - Anirban Bandyopadhyay; Ranjit Pati; Satyajit Sahu; Ferdinand Peper; Daisuke Fujita (CoRR, 2011)

On Cellular Automata rules of molecular arrays. - Satyajit Sahu; Hiroshi Oono; Subrata Ghosh; Anirban Bandyopadhyay; Daisuke Fujita; Ferdinand Peper; Teijiro Isokawa; Ranjit Pati (Nat. Comput., 2012)

Design and Construction of a Brain-Like Computer: A New Class of Frequency-Fractal Computing Using Wireless Communication in a Supramolecular Organic, Inorganic System. - Subrata Ghosh; Krishna Aswani; Surabhi Singh; Satyajit Sahu; Daisuke Fujita; Anirban Bandyopadhyay (Inf., 2014)

Real-Time Pulse Waveform Profiling Algorithm for Wearable Applications. - Hongchao Liu; Daisuke Fujita; Ling Zhang; Arata Suzuki (IEEE Access, 2018)

Evaluation of the Possible Use of PPG Waveform Features Measured at Low Sampling Rate. - Daisuke Fujita; Arata Suzuki (IEEE Access, 2019)

A Self-Operating Time Crystal Model of the Human Brain: Can We Replace Entire Brain Hardware with a 3D Fractal Architecture of Clocks Alone? - Pushpendra Singh 003; Komal Saxena; Anup Singhania; Pathik Sahoo; Subrata Ghosh; Rutuja Chhajed; Kanad Ray; Daisuke Fujita; Anirban Bandyopadhyay (Inf., 2020)

Brain Devlopment Age Prediction Using Convolutnal Neural Network on Pediatrics Brain Ct Mages. - Ren Morita; Saya Ando; Daisuke Fujita; Manabu Nii; Kumiko Ando; Reiichi Ishikura; Syoji Kobashi (ICMLC, 2021)

CNN Based Hierarchical Intracerebral Hematoma Region Extraction Method in Head Thick-Slice CT Images. - Kazunori Oka; Daisuke Fujita; Yasunobu Nohara; Sozo Inoue; Koichi Arimura; Koji Iihara; Syoji Kobashi (ICMLC, 2021)

Boring Survey Based Fracture Detection (BSFD) for Fragility Fracture of the Pelvis in CT Images. - Naoto Yamamoto; Daisuke Fujita; Md. Rashedur Rahman; Naomi Yagi; Keigo Hayashi; Akihiro Maruo; Hirotsugu Muratsu; Shoji Kobashi (ICMLC, 2021)

Comparison of Machine Learning Methods for Predicting Modified Total Shape Score in X-ray Radiography. - Kohei Nakatsu; Kento Morita 001; Daisuke Fujita; Syoji Kobashi (WAC, 2021)

Tooth Recognition in X-Ray Dental Panoramic Images with Prosthetic Detection. - Kazunori Oka; Anas Ali; Daisuke Fujita; Syoji Kobashi (ICMLC, 2022)

The challenge of detecting impact fracture of the pelvis in CT images using the CNN model. - Naoto Yamamoto; Daisuke Fujita; Md. Rashedur Rahman; Naomi Yagi; Keigo Hayashi; Akihiro Maruo; Hirotsugu Muratsu; Syoji Kobashi (LifeTech, 2022)

Quantification of Pediatric Brain Development with X-ray CT Images using 3D-CNN. - Ren Morita; Saya Ando; Daisuke Fujita; Sho Ishikawa; Koji Onoue; Kumiko Ando; Reiichi Ishikura; Syoji Kobashi (SCIS/ISIS, 2022)

Medical Tubing Self-Extraction Trouble Avoidance Support System Using Flexible Sensor and IoT. - Yamato Muroi; Daisuke Fujita; Kazumi Takahama; Syoji Kobashi; Takayuki Fujita (SCIS/ISIS, 2022)

Predicting the severity of Neonatal Chronic Lung Disease from chest X-ray images using deep learning. - Ryunosuke Maeda; Daisuke Fujita; Kosuke Tanaka; Jyunichi Ozawa; Mitsuhiro Haga; Haoyuki Miyahara; Fumihiko Nanba; Syoji Kobashi (SMC, 2022)

Detection of osteochondritis dissecans in ultrasound images for computer-aided diagnosis of baseball elbow. - Kenta Sasaki; Daisuke Fujita; Kenta Takatsuji; Yoshihiro Kotoura; Masataka Minami; Yusuke Kobayashi; Tsuyoshi Sukenari; Yoshikazu Kida; Kenji Takahashi; Syoji Kobashi (SMC, 2022)

Pediatric Brain CT Image Segmentation Methods for Effective Age Prediction Models. - Ren Morita; Saya Ando; Daisuke Fujita; Sho Ishikawa; Koji Onoue; Kumiko Ando; Reiichi Ishikura; Syoji Kobashi (WAC, 2022)

Automatic Carpal Site Detection Method for Evaluation of Rheumatoid Arthritis Using Deep Learning. - Kohei Nakatsu; Rashedur Rahman; Kento Morita 001; Daisuke Fujita; Syoji Kobashi (J. Adv. Comput. Intell. Intell. Informatics, 2022)

Radiomics Based Prediction of Symptomatic Carotid Plaque in MR Images. - Tatsuya Mori; Daisuke Fujita; Tomokazu Hayashi; Takashi Mizobe; Hideo Aihara; Syoji Kobashi (ICMLC, 2023)

Predicting the Development of Chronic Lung Disease in Neonataes from Chest X-ray Images Using Deep Learning. - Ryunosuke Maeda; Daisuke Fujita; Kosuke Tanaka; Jyunichi Ozawa; Mitsuhiro Haga; Naoyuki Miyahara; Fumihiko Nanba; Syoji Kobashi (ISMVL, 2023)

Detection of osteochondritis dissecans using convolutional neural networks for computer-aided diagnosis of baseball elbow. - Kenta Sasaki; Daisuke Fujita; Kenta Takatsuji; Yoshihiro Kotoura; Tsuyoshi Sukenari; Masataka Minami; Yusuke Kobayashi; Yoshikazu Kida; Kenji Takahashi; Syoji Kobashi (ISMVL, 2023)

Prediction of Bed-Leaving Behaviors Using Edge AI to Prevent Medical Accidents. - Noriyasu Kondo; Daisuke Fujita; Syoji Kobashi; Takayuki Fujita (SMC, 2023)

Advanced YOLOv7-Based Detection and Enumeration of Teeth and Restorations in Panoramic X-Rays. - Md. Anas Ali; Daisuke Fujita; Syoji Kobashi (ICMLC, 2024)

Automated Detection and Classification of Mandibular Third Molar Impactions in Panoramic X-Rays. - Md. Anas Ali; Daisuke Fujita; Syoji Kobashi (SCIS/ISIS, 2024)

Automated Depth-Level Classification of Impacted Mandibular Third Molars Using Deep Learning on Panoramic X-Rays. - Md. Anas Ali; Daisuke Fujita; Yuna Makihara; Kazuma Noguchi; Syoji Kobashi (SCIS/ISIS, 2024)

ESWL Outcome Prediction with SMOTE and Stratified Sampling. - Soya Kobayashi; Daisuke Fujita; Hironobu Shibutani; Shinsuke Gohara; Syoji Kobashi (SCIS/ISIS, 2024)

Differentiating Idiopathic Normal Pressure Hydrocephalus Using Multi-Head Attention CNN with Diversify-Loss in Brain MRI. - Fubuki Sawa; Daisuke Fujita; Kenichi Shimada; Kazunari Ishii; Syoji Kobashi (SCIS/ISIS, 2024)

Advancing ESWL Outcome Predictions in X-Ray and CT Through Sophisticated Feature Selection. - Soya Kobayashi; Daisuke Fujita; Hironobu Shibutani; Shinsuke Gohara; Syoji Kobashi (SMC, 2024)

Deep learning-based osteochondritis dissecans detection in ultrasound images with humeral capitellum localization. - Kenta Sasaki; Daisuke Fujita; Kenta Takatsuji; Yoshihiro Kotoura; Masataka Minami; Yusuke Kobayashi; Tsuyoshi Sukenari; Yoshikazu Kida; Kenji Takahashi; Syoji Kobashi (Int. J. Comput. Assist. Radiol. Surg., 2024)

Automated Impaction Angulation Measurement of Mandibular Third Molars for Winter's Classification Using Deep Learning. - Md. Anas Ali; Daisuke Fujita; Hiromitsu Kishimoto; Yuna Makihara; Kazuma Noguchi; Syoji Kobashi (J. Adv. Comput. Intell. Intell. Informatics, 2025)

Early prediction of bronchopulmonary dysplasia in preterm infants using chest X-rays through a comparative analysis of 13 CNN models across different post-birth days. - Md. Anas Ali; Ryunosuke Maeda; Daisuke Fujita; Naoyuki Miyahara; Fumihiko Namba; Syoji Kobashi (Discov. Comput., 2025)