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Seiya Imoto

University of Tokyo - Division of Health Medical Intelligence

Tokyo

Japan

SCHOLARLY PAPERS

4

DOWNLOADS

339

TOTAL CITATIONS

2

Scholarly Papers (4)

1.

Surformer: An Interpretable Pattern-Perceptive Survival Transformer for Cancer Survival Prediction from Histopathology Whole Slide Images

Number of pages: 12 Posted: 26 Apr 2023
Monash University, Central South University - Xiangya Hospital, Central South University - Xiangya Hospital, Monash University, Monash University - Climate, Air Quality Research Unit, Monash University, University of Cambridge, Monash University, Victorian Institute of Forensic Medicine, Monash University - Department of Epidemiology and Preventive Medicine, Monash University - Department of Epidemiology and Preventive Medicine, University of Tokyo - Division of Health Medical Intelligence, Tencent AI Lab, Monash University - Department of Biochemistry and Molecular Biology and Monash University - Department of Biochemistry and Molecular Biology
Downloads 107 (654,668)

Abstract:

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Survival analysis, multiple instance learning, whole slide image, deep learning interpretation.

2.

Clinical Clustering with Prognostic Implications in Japanese COVID-19 Patients: Report from Japan COVID-19 Task Force, a Nation-Wide Consortium to Investigate COVID-19 Host Genetics

Number of pages: 31 Posted: 31 Dec 2021
Keio University - Division of Pulmonary Medicine, Keio University - Division of Pulmonary Medicine, Keio University - Division of Pulmonary Medicine, Keio University - Division of Pulmonary Medicine, Keio University - Division of Pulmonary Medicine, Keio University - Division of Pulmonary Medicine, Keio University - Division of Pulmonary Medicine, Keio University - Division of Pulmonary Medicine, Keio University - Division of Pulmonary Medicine, Keio University - Division of Pulmonary Medicine, Keio University - Division of Pulmonary Medicine, Keio University - Division of Pulmonary Medicine, Keio University - Division of Pulmonary Medicine, Keio University, School of Medicine, Center for Infectious Diseases and Infection Control, Juntendo University - Department of Respiratory Medicine, Osaka Saiseikai Nakatsu Hospital - Department of Respiratory Medicine, Saitama City Hospital - Department of Internal Medicine, Saitama Cardiovascular and Respiratory Center - Department of Respiratory Medicine, Tokyo Women's Medical University - Department of Respiratory Medicine, Kansai Medical University - Department of Emergency and Critical Care Medicine, Fukujuji Hospital - Department of Respiratory Medicine, Kawasaki Municipal Ida Hospital - Department of Internal Medicine, Tosei General Hospital - Department of Infectious Diseases, Kitasato University - Department of Respiratory Medicine, Tohoku University - Department of Respiratory Medicine, The University of Osaka - Department of Statistical Genetics, Tokyo Medical and Dental University - Medical Innovation Promotion Center, Keio University - Department of Surgery, Tokyo Medical and Dental University - Medical Research Institute, University of Tokyo - Division of Health Medical Intelligence, Tokyo Medical and Dental University - M&D Data Science Center, Kyoto University - Department of Pathology and Tumor Biology, Keio University - Division of Gastroenterology and Hepatology, Keio University - Division of Pulmonary Medicine and Independent
Downloads 82 (790,029)
Citation 2

Abstract:

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COVID-19, pneumonia, phenotype, Cluster Analysis, Japan

3.

Quantitative Association of Sars-Cov-2 in Wastewater and Clinically Confirmed Cases in Different Areas of the Tokyo 2020 Olympic and Paralympic Village

Number of pages: 21 Posted: 12 Sep 2024
Hokkaido University - Faculty of Engineering, The University of Osaka - Center for Infectious Disease Education and Research, Independent, National Institute of Public Health, Shionogi & Co. Ltd., Shionogi & Co. Ltd., University of Tokyo, Shionogi & Co. Ltd., Hokkaido University - Faculty of Engineering, University of Tokyo and University of Tokyo - Division of Health Medical Intelligence
Downloads 75 (837,727)

Abstract:

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wastewater-based epidemiology, Wastewater surveillance, COVID-19, passive sampling, mass gathering, receiver operating characteristic curve analysis

4.

The Detectability and Removal Efficiency of SARS-CoV-2 in a Large-Scale Septic Tank of a COVID-19 Quarantine Facility in Japan

Number of pages: 29 Posted: 27 May 2022 Last Revised: 23 Sep 2022
Shionogi & Co. Ltd., University of Tokyo, University of Tokyo - Division of Health Medical Intelligence, Hokkaido University - Faculty of Engineering, University of Yamanashi, Shionogi & Co. Ltd., University of Tokyo, National Institute of Infectious Diseases - Antimicrobial Resistance Research Center, London School of Hygiene & Tropical Medicine, The University of Osaka - Center for Infectious Disease Education and Research, University of Tokyo, Shionogi & Co. Ltd., Hokkaido University - Faculty of Engineering, University of Tokyo - Division of Health Medical Intelligence and Hokkaido University - Faculty of Engineering
Downloads 75 (837,727)

Abstract:

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SARS-CoV-2, wastewater-based epidemiology, wastewater treatment, activated sludge, quantification method