Takeyuki Watadani

According to our database, Takeyuki Watadani authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Super-Efficient Lung Nodule Classification Using Massive-Training Artificial Neural Network (MTANN) Compact Model on LIDC-IDRI Database.

Shogo Kodera, Wahyu Rahmaniar, Hiroko Oshibe, Ze Jin, Takeyuki Watadani, Osamu Abe, Kenji Suzuki

Proceedings of the 2024 6th International Conference on Image, Video and Signal Processing, 2024

2021

Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers.

Yuta Nakamura, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Soichiro Miki, Takeyuki Watadani, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe

BMC Medical Informatics Decis. Mak., 2021

Unsupervised Deep Anomaly Detection in Chest Radiographs.

Takahiro Nakao, Shouhei Hanaoka, Yukihiro Nomura, Masaki Murata, Tomomi Takenaga, Soichiro Miki, Takeyuki Watadani, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe

J. Digit. Imaging, 2021

Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning.

Yukihiro Nomura, Shouhei Hanaoka, Tomomi Takenaga, Takahiro Nakao, Hisaichi Shibata, Soichiro Miki, Takeharu Yoshikawa, Takeyuki Watadani, Naoto Hayashi, Osamu Abe

Int. J. Comput. Assist. Radiol. Surg., 2021

Extremely imbalanced subarachnoid hemorrhage detection based on DenseNet-LSTM network with class-balanced loss and transfer learning.

Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Tao Hu, Hayato Itoh, Takeyuki Watadani, Osamu Abe, Masahiro Hashimoto, Masahiro Jinzaki, Kensaku Mori

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021