Motoki Fukuda

2.1k citations

45 papers · 1.6k indexed · 1 hit paper · h-index 18

Oral Surgery top 0.5%
Biomedical Engineering top 10%
Radiology, Nuclear Medicine and Imaging top 5%
Artificial Intelligence top 5%
Health Informatics top 0.5%

Co-authors: Eiichiro Ariji Yoshiko Ariji Akitoshi Katsumata Hiroshi Fujita Yoshitaka Kise Michihito Nozawa Chiaki Kuwada Kazuhiko Nakata
Topics: Dental Radiography and Imaging (25 papers)Oral and Maxillofacial Pathology (10 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)
Cited by: Health Informatics Oral Surgery General Dentistry
Journals: Scientific Reports Cancers Dentomaxillofacial Radiology
Partner nations: Japan South Korea

In The Last Decade

Motoki Fukuda

40 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography

2018 215 citations Yoshiko Ariji, Motoki Fukuda et al. Dentomaxillofacial Radiology profile →

Peers

Countries citing papers authored by Motoki Fukuda

Since Specialization

Citations

This map shows the geographic impact of Motoki Fukuda's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Motoki Fukuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Motoki Fukuda more than expected).

Fields of papers citing papers by Motoki Fukuda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Motoki Fukuda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Motoki Fukuda. The network helps show where Motoki Fukuda may publish in the future.

Co-authorship network of co-authors of Motoki Fukuda

This figure shows the co-authorship network connecting the top 25 collaborators of Motoki Fukuda. A scholar is included among the top collaborators of Motoki Fukuda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Motoki Fukuda. Motoki Fukuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Preliminary approach to creation of a prediction model for diagnosis of Sjögren's syndrome using radiomics and machine learning techniques on computed tomography images of the parotid glands 2025 ·Imaging Science in Dentistry ·Yoshitaka Kise,Motoki Fukuda,(unknown),Takuma Funakoshi,Yoshiko Ariji,Eiichiro Ariji	0
2	Metastatic Lymph Node Detection on Ultrasound Images Using YOLOv7 in Patients with Head and Neck Squamous Cell Carcinoma 2024 ·Cancers ·Sato Eida,Motoki Fukuda,Ikuo Katayama,Yukinori Takagi,Miho Sasaki,Hiroki Mori,(unknown),T Nishino,Yoshiko Ariji,Misa Sumi	9
3	Limitations of panoramic radiographs in predicting mandibular wisdom tooth extraction and the potential of deep learning models to overcome them 2024 ·Scientific Reports ·Atsushi Danjo,Chiaki Kuwada,Reona Aijima,(unknown),Motoki Fukuda,Yoshiko Ariji,Eiichiro Ariji,Yoshio Yamashita	1
4	A cycle generative adversarial network for generating synthetic contrast-enhanced computed tomographic images from non-contrast images in the internal jugular lymph node-bearing area 2024 ·Odontology ·Motoki Fukuda,(unknown),Michihito Nozawa,Chiaki Kuwada,Yoshitaka Kise,Eiichiro Ariji,Yoshiko Ariji	3
5	An attempt to generate panoramic radiographs including jaw cysts using StyleGAN3 2024 ·Dentomaxillofacial Radiology ·Motoki Fukuda,(unknown),Michihito Nozawa,(unknown),Masahiro Watanabe,Hironori Akiyama,Yoshiko Ariji	1
6	Deep learning classification performance for diagnosing condylar osteoarthritis in patients with dentofacial deformities using panoramic temporomandibular joint projection images 2024 ·Oral Radiology ·Yukiko Iwase,(unknown),Yoshitaka Kise,(unknown),Michihito Nozawa,Motoki Fukuda,Yoshiko Ariji,Eiichiro Ariji	0
7	Improved soft-tissue visibility on cone-beam computed tomography with an image-generating artificial intelligence model using a cyclic generative adversarial network 2024 ·Oral Radiology ·Motoki Fukuda,Michihito Nozawa,Hironori Akiyama,Eiichiro Ariji,Yoshiko Ariji	1
8	Deep learning system for distinguishing between nasopalatine duct cysts and radicular cysts arising in the midline region of the anterior maxilla on panoramic radiographs 2023 ·Imaging Science in Dentistry ·Yoshitaka Kise,Chiaki Kuwada,(unknown),Motoki Fukuda,Yoshiko Ariji,Eiichiro Ariji	3
9	Effects of the combined use of segmentation or detection models on the deep learning classification performance for cyst‐like lesions of the jaws on panoramic radiographs: Preliminary research 2023 ·Oral Science International ·Yoshiko Ariji,Kazuyuki Araki,Motoki Fukuda,Michihito Nozawa,Chiaki Kuwada,Yoshitaka Kise,Eiichiro Ariji	7
10	Differences in the panoramic appearance of cleft alveolus patients with or without a cleft palate 2023 ·Imaging Science in Dentistry ·T. Fujii,Chiaki Kuwada,Yoshitaka Kise,Motoki Fukuda,(unknown),(unknown),Michihito Nozawa,Munetaka Naitoh,Yoshiko Ariji,Eiichiro Ariji	2
11	Detection of unilateral and bilateral cleft alveolus on panoramic radiographs using a deep-learning system 2022 ·Dentomaxillofacial Radiology ·Chiaki Kuwada,Yoshiko Ariji,Yoshitaka Kise,Motoki Fukuda,Jun Ota,(unknown),Norinaga Kojima,Eiichiro Ariji	9
12	Deep-learning systems for diagnosing cleft palate on panoramic radiographs in patients with cleft alveolus 2022 ·Oral Radiology ·Chiaki Kuwada,Yoshiko Ariji,Yoshitaka Kise,Motoki Fukuda,(unknown),Takuma Funakoshi,(unknown),(unknown),Norinaga Kojima,Eiichiro Ariji	13
13	A preliminary deep learning study on automatic segmentation of contrast-enhanced bolus in videofluorography of swallowing 2022 ·Scientific Reports ·Yoshiko Ariji,Masakazu Gotoh,Motoki Fukuda,(unknown),(unknown),Akitoshi Katsumata,Eiichiro Ariji	10
14	Automatic visualization of the mandibular canal in relation to an impacted mandibular third molar on panoramic radiographs using deep learning segmentation and transfer learning techniques 2022 ·Oral Surgery Oral Medicine Oral Pathology and Oral Radiology ·Yoshiko Ariji,(unknown),Motoki Fukuda,Akitoshi Katsumata,Eiichiro Ariji	23
15	Automatic detection of cervical lymph nodes in patients with oral squamous cell carcinoma using a deep learning technique: a preliminary study 2020 ·Oral Radiology ·Yoshiko Ariji,Motoki Fukuda,Michihito Nozawa,Chiaki Kuwada,Mitsuo Goto,Kenichiro Ishibashi,Atsushi Nakayama,Yoshihiko Sugita,Toru Nagao,Eiichiro Ariji	35
16	Deep learning object detection of maxillary cyst-like lesions on panoramic radiographs: preliminary study 2020 ·Oral Radiology ·Hirofumi Watanabe,Yoshiko Ariji,Motoki Fukuda,Chiaki Kuwada,Yoshitaka Kise,Michihito Nozawa,Yoshihiko Sugita,Eiichiro Ariji	52
17	Automatic detection and classification of radiolucent lesions in the mandible on panoramic radiographs using a deep learning object detection technique 2019 ·Oral Surgery Oral Medicine Oral Pathology and Oral Radiology ·Yoshiko Ariji,(unknown),(unknown),Chisako Muramatsu,Motoki Fukuda,Yoshitaka Kise,Michihito Nozawa,Chiaki Kuwada,Hiroshi Fujita,Akitoshi Katsumata,Eiichiro Ariji	136
18	Evaluation of an artificial intelligence system for detecting vertical root fracture on panoramic radiography 2019 ·Oral Radiology ·Motoki Fukuda,Kyoko Inamoto,Naoki Shibata,Yoshiko Ariji,(unknown),(unknown),Kazuhiko Nakata,Akitoshi Katsumata,Hiroshi Fujita,Eiichiro Ariji	205
19	Deep-learning classification using convolutional neural network for evaluation of maxillary sinusitis on panoramic radiography 2018 ·Oral Radiology ·(unknown),Yoshiko Ariji,(unknown),Taisuke Kawai,Motoki Fukuda,Takuma Funakoshi,Yoshitaka Kise,Michihito Nozawa,Akitoshi Katsumata,Hiroshi Fujita,Eiichiro Ariji	154
20	Utilization of computer-aided detection system in diagnosing unilateral maxillary sinusitis on panoramic radiographs 2016 ·Dentomaxillofacial Radiology ·(unknown),Yoshiko Ariji,Akitoshi Katsumata,Hiroshi Fujita,(unknown),Motoki Fukuda,Michihito Nozawa,Eiichiro Ariji	35

About Motoki Fukuda

Motoki Fukuda is a scholar working on Oral Surgery, Otorhinolaryngology and Complementary and Manual Therapy, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Dental Radiography and Imaging (25 papers), Oral and Maxillofacial Pathology (10 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). The work is most often cited by research in Health Informatics (226 citations), Oral Surgery (1.2k citations) and General Dentistry (188 citations). Motoki Fukuda has collaborated with scholars based in Japan and South Korea. Frequent co-authors include Eiichiro Ariji, Yoshiko Ariji, Akitoshi Katsumata, Hiroshi Fujita, Yoshitaka Kise, Michihito Nozawa, Chiaki Kuwada, Kazuhiko Nakata, Chisako Muramatsu and Takuma Funakoshi. Their work appears in journals such as Scientific Reports, Cancers and Dentomaxillofacial Radiology.

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