Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Satoshi Kasai

Professor

Fujita Health University

Japan

Research Interests

Explore related searches

Professors in Japan Professors in Medical Imaging Medical Imaging professors in Japan

Articles (20)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Collaborators (15)

Stefanie Speidel

Prof

GERMANY

View details

Naoki Kodama

Niigata University of Health and Welfare

JAPAN

View details

Maxime Lafarge

University of Basel

SWITZERLAND

View details

Satoshi Kondo

Muroran Institute of Technology

JAPAN

View details

Xia Li

Associate Professor

Shanghai Jiao Tong University

CHINA

View details

Gustavo Carneiro

Professor of AI and Machine Learning

University of Surrey

UNITED KINGDOM

View details

Marc Aubreville

Professor

Technische Hochschule Ingolstadt

GERMANY

View details

Ye Zhang

Scientist (tenured)

Paul Scherrer Institut

SWITZERLAND

View details

Víctor Manuel Campello

Valencian International University

SPAIN

View details

Danyal Zaman Khan

University College London

UNITED KINGDOM

View details

Bas H. M. van der Velden

Head of Data Science

University Medical Center Groningen

NETHERLANDS

View details

Tom Vercauteren

Professor of Interventional Image Computing

King’s College London

UNITED KINGDOM

View details

Michele Aizenberg

Professor

University of Nebraska Medical Center

UNITED STATES

View details

Chelsea Sargeant

The University of Manchester

UNITED KINGDOM

View details

Zhen Chen

Assistant Professor

The Hong Kong Polytechnic University

HONG KONG

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Satoshi Kasai

Research Interests

Explore related searches

Articles (20)

Feasibility of opportunistic screening for preserved ratio impaired spirometry using chest radiography-based deep learning models

Glioma Segmentation on Multicenter 2D-Based Magnetic Resonance Imaging Using Low-Rank Adaptation Tuning of a Foundation Model: An External Test Evaluation

Transformer imputation in CTG: a length-dependent evaluation of reconstruction methods

Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge

Identification of Brain Activation Areas in Response to Active Tactile Stimulation by Gripping a Stress Ball

PitVis-2023 challenge: Workflow recognition in videos of endoscopic pituitary surgery

ACOUSLIC-AI challenge report: Fetal abdominal circumference measurement on blind-sweep ultrasound data from low-income countries

A Community Benchmark for the Automated Segmentation of Pediatric Neuroblastoma on Multi-Modal MRI: Design and Results of the SPPIN Challenge at MICCAI 2023

Estimating the Amount of Air Inside the Stomach for Detecting Cancers on Gastric Radiographs Using Artificial Intelligence: an Observational, Cross-sectional Study

Classifying abnormalities in chest radiographs from Vietnam using deep learning for early detection of cardiopulmonary diseases

Classifying the molecular subtype of breast cancer using vision transformer and convolutional neural network features

Comparison and verification of detection accuracy for late deceleration with and without uterine contractions signals using convolutional neural networks

Reducing the acquisition time for magnetic resonance imaging using super-resolution image generation and evaluating the accuracy of hippocampal volumes for diagnosing Alzheimer’s disease

Utility of osteoporosis screening based on estimation of bone mineral density using bidirectional chest radiographs with deep learning models

AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge

Development of a Subtraction Processing Technology for Assistance in the Comparative Interpretation of Mammograms

Domain generalization across tumor types, laboratories, and species — Insights from the 2022 edition of the Mitosis Domain Generalization Challenge

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report

Evaluation of Subtraction Processing for Mammograms Analyzed by Breast Density and Thickness

Extracting fetal heart signals from Doppler using semi-supervised convolutional neural networks

Collaborators (15)

Stefanie Speidel

Naoki Kodama

Maxime Lafarge

Satoshi Kondo

Xia Li

Gustavo Carneiro

Marc Aubreville

Ye Zhang

Víctor Manuel Campello

Danyal Zaman Khan

Bas H. M. van der Velden

Tom Vercauteren

Michele Aizenberg

Chelsea Sargeant

Zhen Chen

Make your next move.