Kento Morita

Evaluating tubulointerstitial compartments in renal biopsy specimens using a deep learning-based approach for classifying normal and abnormal tubules

M. Kawano, T. Zoshima, R. Nishioka, 2022, PloS one.

Automatic benign and malignant estimation of bone tumors using deep learning

Tetsushi Wakabayashi, Tomoki Nakamura, Kento Morita, 2021, 2021 5th IEEE International Conference on Cybernetics (CYBCONF).

CNN Based survivability prediction Using Pathological Image of Soft Tissue Tumor

K. Asanuma, K. Uchida, T. Hagi, 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Investigating the Learning Progress of CNNs in Script Identification Using Gradient Values

T. Wakabayashi, W. Ohyama, Nobu C. Shirai, 2019, 2019 4th International Conference on Information Technology Research (ICITR).

Automatic Osteomyelitis Area Estimation in Head CT Using Contrastive Learning

T. Wakabayashi, D. Takeda, Kento Morita, 2022, 2022 World Automation Congress (WAC).

Comparison of RNN-LSTM and Kalman Filter Based Time Series Human Motion Prediction

Andi Prademon Yunus, T. Wakabayashi, Nobu C. Shirai, 2022, Journal of Physics: Conference Series.

Human Motion Prediction by 2D Human Pose Estimation using OpenPose

Tetsushi Wakabayashi, Kento Morita, Andi Prademon Yunus, 2020 .

Time Series Human Motion Prediction Using RGB Camera and OpenPose

Tetsushi Wakabayashi, Kento Morita, Yunus Andi Prademon, 2020 .

Chart-Type Classification Using Convolutional Neural Network for Scholarly Figures

Wataru Ohyama, Tetsushi Wakabayashi, Kento Morita, 2019, ACPR.

Temporal-Spatial Time Series Self-Attention 2D & 3D Human Motion Forecasting

Andi Prademon Yunus, Nobu C. Shirai, Kento Morita, 2023, 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT).

Time Series Self-Attention Approach for Human Motion Forecasting: A Baseline 2D Pose Forecasting

Andi Prademon Yunus, Nobu C. Shirai, Kento Morita, 2023, J. Adv. Comput. Intell. Intell. Informatics.

Neonatal Brain MRI Segmentation Using Fine-Tuned Convolutional Neural Networks

T. Wakabayashi, Syoji Kobashi, K. Ando, 2019 .