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Ren Togo

Showing results (1-10 of 35) with videos related to

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International Journal of Computer Assisted Radiology and Surgery|December 20, 2022
COVID-19 detection based on self-supervised transfer learning using chest X-ray imagesGuang Li, Ren Togo, Takahiro Ogawa, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 22, 2025
Exponential Dissimilarity-Dispersion Family for Domain-Specific Representation LearningRen Togo, Nao Nakagawa, Takahiro Ogawa, et al.
Computer Methods and Programs in Biomedicine|November 2, 2022
Compressed gastric image generation based on soft-label dataset distillation for medical data sharingGuang Li, Ren Togo, Takahiro Ogawa, et al.
International Journal of Computer Assisted Radiology and Surgery|April 11, 2023
Self-supervised learning for gastritis detection with gastric X-ray imagesGuang Li, Ren Togo, Takahiro Ogawa, et al.
Computers in Biology and Medicine|April 5, 2023
Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensemblingGuang Li, Ren Togo, Takahiro Ogawa, et al.
Sensors (Basel, Switzerland)|May 13, 2023
Off-Screen Sound Separation Based on Audio-visual Pre-training Using Binaural AudioMasaki Yoshida, Ren Togo, Takahiro Ogawa, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 3, 2024
ConcVAE: Conceptual Representation LearningRen Togo, Nao Nakagawa, Takahiro Ogawa, et al.
Sensors (Basel, Switzerland)|May 28, 2022
Controllable Music Playlist Generation Based on Knowledge Graph and Reinforcement LearningKeigo Sakurai, Ren Togo, Takahiro Ogawa, et al.
Computers in Biology and Medicine|July 14, 2020
Deep convolutional neural network-based anomaly detection for organ classification in gastric X-ray examinationRen Togo, Haruna Watanabe, Takahiro Ogawa, et al.
Medical & Biological Engineering & Computing|March 30, 2020
Chronic gastritis classification using gastric X-ray images with a semi-supervised learning method based on tri-trainingZongyao Li, Ren Togo, Takahiro Ogawa, et al.
Pageof 4

Showing results (1-10 of 35) with videos related to

Sort By:
Pageof 4
International Journal of Computer Assisted Radiology and Surgery|December 20, 2022
COVID-19 detection based on self-supervised transfer learning using chest X-ray imagesGuang Li, Ren Togo, Takahiro Ogawa, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 22, 2025
Exponential Dissimilarity-Dispersion Family for Domain-Specific Representation LearningRen Togo, Nao Nakagawa, Takahiro Ogawa, et al.
Computer Methods and Programs in Biomedicine|November 2, 2022
Compressed gastric image generation based on soft-label dataset distillation for medical data sharingGuang Li, Ren Togo, Takahiro Ogawa, et al.
International Journal of Computer Assisted Radiology and Surgery|April 11, 2023
Self-supervised learning for gastritis detection with gastric X-ray imagesGuang Li, Ren Togo, Takahiro Ogawa, et al.
Computers in Biology and Medicine|April 5, 2023
Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensemblingGuang Li, Ren Togo, Takahiro Ogawa, et al.
Sensors (Basel, Switzerland)|May 13, 2023
Off-Screen Sound Separation Based on Audio-visual Pre-training Using Binaural AudioMasaki Yoshida, Ren Togo, Takahiro Ogawa, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 3, 2024
ConcVAE: Conceptual Representation LearningRen Togo, Nao Nakagawa, Takahiro Ogawa, et al.
Sensors (Basel, Switzerland)|May 28, 2022
Controllable Music Playlist Generation Based on Knowledge Graph and Reinforcement LearningKeigo Sakurai, Ren Togo, Takahiro Ogawa, et al.
Computers in Biology and Medicine|July 14, 2020
Deep convolutional neural network-based anomaly detection for organ classification in gastric X-ray examinationRen Togo, Haruna Watanabe, Takahiro Ogawa, et al.
Medical & Biological Engineering & Computing|March 30, 2020
Chronic gastritis classification using gastric X-ray images with a semi-supervised learning method based on tri-trainingZongyao Li, Ren Togo, Takahiro Ogawa, et al.
Pageof 4