Yohan Kondo

Niigata University

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Recent Grants

Grant: Close

Delta-radiomicsを応用したVMAT患者個別QAシステムの開発

Open Date: 2022-04-01

Close Date: 2025-03-01

Grant: Close

ディープラーニングを用いたマンモグラム時系列解析による対側乳癌予測システムの開発

Open Date: 2021-01-01

Close Date: 2024-01-01

Grant: Close

災害時や在宅ケア用の下肢静脈塞栓症リスク自動評価ツールの開発

Open Date: 2020-01-01

Close Date: 2023-01-01

Grant: Close

抗がん剤脱毛時の頭皮悪化が予測できるウィッグ装着型ウェアラブル端末の開発

Open Date: 2019-01-01

Close Date: 2022-01-01

Grant: Close

Development of computer-aided diagnosis system for ultrasonic images of infant hip joint

Open Date: 2016-01-01

Close Date: 2019-01-01

Articles (19)

Collaborators (3)

Shota Ichikawa

Assistant Professor

Niigata University

Mitsutaka Nemoto

Kindai University

Akifumi Yoshida

Niigata University of Health and Welfare

Yohan Kondo

Research Interests

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Contact this professor

Recent Grants

Articles (19)

Collaborators (3)

Shota Ichikawa

Mitsutaka Nemoto

Akifumi Yoshida

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Yohan Kondo

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (19)

Effect of frame rate on image quality in cardiology evaluated using an indirect conversion dynamic flat-panel detector.

Development and validation of the surmising model for volumetric breast density using X-ray exposure conditions in digital mammography

Auto-evaluation of skull radiograph accuracy using unsupervised anomaly detection

Deep learning-based correction for time truncation in cerebral computed tomography perfusion.

Contactless Operation System Development for Radiographic Consoles using a Motion Controller to Prevent Unknown Viruses: Proof of Concept

Automated angular measurement for puncture angle using a computer-aided method in ultrasound-guided peripheral insertion

Development of a new body weight estimation method using head CT scout images.

Quality control system for mammographic breast positioning using deep learning.

Usefulness of copper filters in digital chest radiography based on the relationship between effective detective quantum efficiency and deep learning-based segmentation accuracy of the tumor area.

Deep learning-based classification of adequate sonographic images for self-diagnosing deep vein thrombosis

Performance evaluation of pocket echo using an ultrasonic accuracy control phantom

Performance evaluation of pocket echo using an ultrasonic accuracy control phantom

Automated Classification of Abdominal Coronal CT Images for Presence/Absence of Traumatic Hematoma using DCNN

Development of a computer-aided quality assurance support system for identifying hand X-ray image direction using deep convolutional neural network.

Utility of U-Net for the objective segmentation of the fibroglandular tissue region on clinical digital mammograms.

Use of deep learning to predict postoperative recurrence of lung adenocarcinoma from preoperative CT.

A deep convolutional neural network to predict the curve progression of adolescent idiopathic scoliosis: a pilot study.

Development of a contactless operation system for radiographic consoles using an eye tracker for severe acute respiratory syndrome coronavirus 2 infection control: a feasibility study

U-Net-based image segmentation of the whole heart and four chambers on pediatric X-ray computed tomography

Collaborators (3)

Shota Ichikawa

Mitsutaka Nemoto

Akifumi Yoshida

How do I reach out?

Meet Kite AI