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Naonori Ueda

Naonori Ueda

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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
48
Citations
9635
World Ranking
6163
National Ranking
86

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Naonori Ueda is affiliated with RIKEN in Japan and has contributed extensively to medical research, particularly in the fields of oncology, surgery, and otorhinolaryngology. Their scientific work spans diverse topics related to cancer diagnosis and treatment, head and neck cancer, bone health and treatments, and oral health in cancer treatment.

Their research has extensively covered areas including:

  • Cancer Diagnosis and Treatment
  • Head and Neck Cancer Studies
  • Bone health and treatments
  • Bone and Joint Diseases
  • Oral health in cancer treatment
  • Reconstructive Surgery and Microvascular Techniques
  • Head and Neck Surgical Oncology

Published work by Naonori Ueda appears frequently in medical journals such as the Journal of Oral and Maxillofacial Surgery Medicine and Pathology, the Japanese Journal of Oral & Maxillofacial Surgery, Osteoporosis International, Journal of Dental Sciences, and Medicine.

Some of the recent papers authored or coauthored by Ueda include:

  • Regularized Three-Dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction in Head and Neck CT Images, 2020, IEEE Access
  • Prevalence of and risk factors for postoperative complications after lower third molar extraction: A multicenter prospective observational study in Japan, 2022, Medicine
  • Denosumab-related osteonecrosis of the jaw after tooth extraction and the effects of a short drug holiday in cancer patients: a multicenter retrospective study, 2021, Osteoporosis International
  • Oral risk factors associated with medication-related osteonecrosis of the jaw in patients with cancer, 2021, Journal of Bone and Mineral Metabolism
  • Risk factors for osteoradionecrosis of the jaw in patients with oral or oropharyngeal cancer: Verification of the effect of tooth extraction before radiotherapy using propensity score matching analysis, 2021, Journal of Dental Sciences

Naonori Ueda has collaborated with several frequent coauthors, highlighting key partnerships within their research network. These coauthors include:

  • Tadaaki Kirita
  • Hiroshi Kurita
  • Nobuhiro Yamakawa
  • Shin-ichi Yamada
  • Takumi Hasegawa

Their main field of study is medicine, with 70 publications, and subfields include oncology and surgery with 19 publications each, otorhinolaryngology with 11, pulmonary and respiratory medicine with 6, and oral surgery with 5 publications.

Best Publications

  • Learning systems of concepts with an infinite relational model

    Charles Kemp;Joshua B. Tenenbaum;Thomas L. Griffiths;Takeshi Yamada

  • Deterministic annealing EM algorithm

    Naonori Ueda;Ryohei Nakano

  • SMEM Algorithm for Mixture Models

    Naonori Ueda;Ryohei Nakano;Zoubin Ghahramani;Geoffrey E. Hinton

  • Parametric Mixture Models for Multi-Labeled Text

    Naonori Ueda;Kazumi Saito

  • Generalization error of ensemble estimators

    N. Ueda;R. Nakano

  • Multichannel Extensions of Non-Negative Matrix Factorization With Complex-Valued Data

    H. Sawada;H. Kameoka;S. Araki;N. Ueda

  • Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling

    Daichi Mochihashi;Takeshi Yamada;Naonori Ueda

  • Optimal linear combination of neural networks for improving classification performance

    N. Ueda

  • Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates

    Naonori Ueda;Ryohei Nakano;Zoubin Ghahramani;Geoffrey E. Hinton

  • Land cover classification from fused DSM and UAV images using convolutional neural networks

    Husam Abdulrasool H. Al-Najjar;Bahareh Kalantar;Biswajeet Pradhan;Vahideh Saeidi

  • Topic tracking model for analyzing consumer purchase behavior

    Tomoharu Iwata;Shinji Watanabe;Takeshi Yamada;Naonori Ueda

  • Bayesian model search for mixture models based on optimizing variational bounds

    Naonori Ueda;Zoubin Ghahramani

  • Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data

    Bahareh Kalantar;Naonori Ueda;Mohammed Oludare Idrees;Saeid Janizadeh

  • A hybrid generative/discriminative approach to semi-supervised classifier design

    Akinori Fujino;Naonori Ueda;Kazumi Saito

  • Online multiscale dynamic topic models

    Tomoharu Iwata;Takeshi Yamada;Yasushi Sakurai;Naonori Ueda

  • Landslide susceptibility mapping: Machine and ensemble learning based on remote sensing big data

    Bahareh Kalantar;Naonori Ueda;Vahideh Saeidi;Kourosh Ahmadi

  • Higher-order factorization machines

    Mathieu Blondel;Akinori Fujino;Naonori Ueda;Masakazu Ishihata

  • Learning visual models from shape contours using multiscale convex/concave structure matching

    N. Ueda;S. Suzuki

  • A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers

    Naonori Ueda;Ryohei Nakano

  • Probabilistic latent semantic visualization: topic model for visualizing documents

    Tomoharu Iwata;Takeshi Yamada;Naonori Ueda

  • Variational bayesian estimation and clustering for speech recognition

    S. Watanabe;Y. Minami;A. Nakamura;N. Ueda

Frequent Co-Authors

Hiroshi Sawada
Hiroshi Sawada NTT (Japan)
Masaomi Tanaka
Masaomi Tanaka Tohoku University
Naoki Yoshida
Naoki Yoshida University of Tokyo
Nozomu Tominaga
Nozomu Tominaga Konan University
Naoki Yasuda
Naoki Yasuda Kavli Institute for the Physics and Mathematics of the Universe
Tomoki Morokuma
Tomoki Morokuma Chiba Institute of Technology
Hisashi Kashima
Hisashi Kashima Kyoto University
Zoubin Ghahramani
Zoubin Ghahramani University of Cambridge
Shinji Watanabe
Shinji Watanabe Carnegie Mellon University
Geoffrey E. Hinton
Geoffrey E. Hinton University of Toronto

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