Kobayashi K - Search Results

1

Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine.

Hamamoto R, Takasawa K, Machino H, Kobayashi K, Takahashi S, Bolatkan A, Shinkai N, Sakai A, Aoyama R, Yamada M, Asada K, Komatsu M, Okamoto K, Kameoka H, Kaneko S. Hamamoto R, et al. Among authors: kobayashi k. Brief Bioinform. 2022 Jul 18;23(4):bbac246. doi: 10.1093/bib/bbac246. Brief Bioinform. 2022. PMID: 35788277 Free PMC article. Review.

2

Local Radiotherapy or Chemotherapy for Oligo-recurrent Cervical Cancer in Patients With Prior Pelvic Irradiation.

Kobayashi K, Murakami N, Takahashi K, Inaba K, Hamamoto R, Itami J. Kobayashi K, et al. In Vivo. 2019 Sep-Oct;33(5):1659-1665. doi: 10.21873/invivo.11652. In Vivo. 2019. PMID: 31471420 Free PMC article.

3

A Population-based Statistical Model for Investigating Heterogeneous Intraprostatic Sensitivity to Radiation Toxicity After ¹²⁵I Seed Implantation.

Kobayashi K, Murakami N, Takahashi K, Inaba K, Igaki H, Hamamoto R, Itami J. Kobayashi K, et al. In Vivo. 2019 Nov-Dec;33(6):2103-2111. doi: 10.21873/invivo.11710. In Vivo. 2019. PMID: 31662544 Free PMC article.

4

Uncovering Prognosis-Related Genes and Pathways by Multi-Omics Analysis in Lung Cancer.

Asada K, Kobayashi K, Joutard S, Tubaki M, Takahashi S, Takasawa K, Komatsu M, Kaneko S, Sese J, Hamamoto R. Asada K, et al. Among authors: kobayashi k. Biomolecules. 2020 Mar 30;10(4):524. doi: 10.3390/biom10040524. Biomolecules. 2020. PMID: 32235589 Free PMC article.

5

Fully-Connected Neural Networks with Reduced Parameterization for Predicting Histological Types of Lung Cancer from Somatic Mutations.

Kobayashi K, Bolatkan A, Shiina S, Hamamoto R. Kobayashi K, et al. Biomolecules. 2020 Aug 28;10(9):1249. doi: 10.3390/biom10091249. Biomolecules. 2020. PMID: 32872133 Free PMC article.

6

Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array Data.

Takahashi S, Asada K, Takasawa K, Shimoyama R, Sakai A, Bolatkan A, Shinkai N, Kobayashi K, Komatsu M, Kaneko S, Sese J, Hamamoto R. Takahashi S, et al. Among authors: kobayashi k. Biomolecules. 2020 Oct 19;10(10):1460. doi: 10.3390/biom10101460. Biomolecules. 2020. PMID: 33086649 Free PMC article.

7

Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine.

Hamamoto R, Suvarna K, Yamada M, Kobayashi K, Shinkai N, Miyake M, Takahashi M, Jinnai S, Shimoyama R, Sakai A, Takasawa K, Bolatkan A, Shozu K, Dozen A, Machino H, Takahashi S, Asada K, Komatsu M, Sese J, Kaneko S. Hamamoto R, et al. Among authors: kobayashi k. Cancers (Basel). 2020 Nov 26;12(12):3532. doi: 10.3390/cancers12123532. Cancers (Basel). 2020. PMID: 33256107 Free PMC article. Review.

8

Tensor Regression-based Model to Investigate Heterogeneous Spatial Radiosensitivity After I-125 Seed Implantation for Prostate Cancer.

Kobayashi K, Murakami N, Takahashi K, Inaba K, Igaki H, Hamamoto R, Itami J. Kobayashi K, et al. In Vivo. 2021 Jan-Feb;35(1):489-497. doi: 10.21873/invivo.12283. In Vivo. 2021. PMID: 33402501 Free PMC article.

9

Fine-Tuning Approach for Segmentation of Gliomas in Brain Magnetic Resonance Images with a Machine Learning Method to Normalize Image Differences among Facilities.

Takahashi S, Takahashi M, Kinoshita M, Miyake M, Kawaguchi R, Shinojima N, Mukasa A, Saito K, Nagane M, Otani R, Higuchi F, Tanaka S, Hata N, Tamura K, Tateishi K, Nishikawa R, Arita H, Nonaka M, Uda T, Fukai J, Okita Y, Tsuyuguchi N, Kanemura Y, Kobayashi K, Sese J, Ichimura K, Narita Y, Hamamoto R. Takahashi S, et al. Among authors: kobayashi k. Cancers (Basel). 2021 Mar 19;13(6):1415. doi: 10.3390/cancers13061415. Cancers (Basel). 2021. PMID: 33808802 Free PMC article.

10

Observing deep radiomics for the classification of glioma grades.

Kobayashi K, Miyake M, Takahashi M, Hamamoto R. Kobayashi K, et al. Sci Rep. 2021 May 25;11(1):10942. doi: 10.1038/s41598-021-90555-2. Sci Rep. 2021. PMID: 34035410 Free PMC article.

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