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Fumiya Uchiyama
Observed names:
F. Uchiyama,
Uchiyama, Fumiya
Institution:
The University of Tokyo
Observed institutions:
Tokai University Hachioji Hospital,
National Center for Global Health and Medicine,
Japanese Red Cross Medical Center,
Center Hospital of National Center for Global Health and Medicine,
The University of Tokyo
OpenAlex ID:
A5079445397
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images
2019
·
Han, Changhee
, Murao, Kohei
, et al.
·
arXiv (Cornell University)
·
93
PDF
Learning More with Less
2019
·
Han, Changhee
, Murao, Kohei
, et al.
·
Apollo (University of Cambridge)
·
55
PDF
Artificial intelligence using neural network architecture for radiology (AINNAR): classification of MR imaging sequences
2018
·
Tomoyuki Noguchi
, Daichi Higa
, et al.
·
Japanese Journal of Radiology
·
35
The safety and efficacy of percutaneous vertebroplasty for patients over 90 years old
2018
·
Shunsuke Kamei
, Tomoyuki Noguchi
, et al.
·
Japanese Journal of Radiology
·
20
A Fundamental Study Assessing the Diagnostic Performance of Deep Learning for a Brain Metastasis Detection Task
2019
·
Tomoyuki Noguchi
, Fumiya Uchiyama
, et al.
·
Magnetic Resonance in Medical Sciences
·
9
PDF
Safety and Efficacy of Percutaneous Vertebroplasty in Lateral Decubitus Position: A Retrospective Evaluation
2018
·
Tomoyuki Noguchi
, Yoshitaka Shida
, et al.
·
Interventional Radiology
·
4
PDF
Learning More with Less
2019
·
Changhee Han
, Kohei Murao
, et al.
·
ACM International Conference on Information and Knowledge Management (CIKM)
·
3
Risk of radiation pneumonitis in patients with emphysema after stereotactic body radiotherapy for non‑small cell lung cancer assessed by quantitative CT
2020
·
Fumiya Uchiyama
, Hidetsugu Nakayama
, et al.
·
Molecular and Clinical Oncology
·
2
PDF
A breathing movement sensor for chest radiography during inspiration in children aged less than 3 years: a prospective randomized controlled study
2020
·
Mari Honda
, Rei Haruyama
, et al.
·
BioScience Trends
·
2
PDF
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?
2024
·
Fumiya Uchiyama
, Takeshi Kojima
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
1
PDF
The usefulness of vertebral needle targeting simulation training system using ray-summation imaging: experimental study
2022
·
Fumiya Uchiyama
, Tomoyuki Noguchi
, et al.
·
Japanese Journal of Radiology
·
1
PDF
Steering Recurrent Reasoners at Inference Time with Readout Feedback
2026
·
Kamiya, Shunsuke
, Koyama, Masanori
, et al.
·
arXiv (Cornell University)
PDF
Crypto-LLM: Two-Stage Language Model Pre-training with Ciphered and Natural Language Data
2025
·
Association for Computational Linguistics 2025
, Cao, Qi
, et al.
·
Underline Science Inc.
CLIP-like Model as a Foundational Density Ratio Estimator
2025
·
Uchiyama, Fumiya
, Yanagi, Rintaro
, et al.
·
arXiv (Cornell University)
PDF
Crypto-LLM: Two-Stage Language Model Pre-training with Ciphered and Natural Language Data
2025
·
Yohei Kobashi
, Fumiya Uchiyama
, et al.
·
International Joint Conference on Natural Language Processing and Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL)
PDF
Dose Discrepancy between the Gross Tumor Volume and the Planning Target Volume By Surrounding Density in Stereotactic Body Radiotherapy for Stage I Non-Small Cell Lung Cancer
2019
·
F. Uchiyama
, H. Nakayama
, et al.
·
International Journal of Radiation Oncology*Biology*Physics
The Relationship with Radiation Pneumonitis Followed By Stereotactic Body Radiotherapy and Emphysema Evaluated By CT
2019
·
F. Uchiyama
, H. Nakayama
, et al.
·
International Journal of Radiation Oncology*Biology*Physics
PDF
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Works count:
18
Citation count:
225
H-index:
5
I10-index:
4
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