( en | de | ru )

 

Disambiguation of "Kim, Kwang-Ju"

Author of the publication

copydeleteadd this publication to your clipboard
Collaborative multi-modal deep learning and radiomic features for classification of strokes within 6 h.

, , , , and . Expert Syst. Appl., (October 2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Kwang-Soo Kim

Kwang-Hyon Kim

Kwang Soo Kim

Kwang-Woo Kim

Kwang-Sik Kim

 

Other publications of authors with the same name

Histological Image Segmentation and Classification Using Entropy-Based Convolutional Module., , , and . IEEE Access, (2021)SurgT challenge: Benchmark of soft-tissue trackers for robotic surgery., , , , , , , , , and 16 other author(s). Medical Image Anal., (January 2024)SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery., , , , , , , , , and 17 other author(s). CoRR, (2023)REET: Region-Enhanced Transformer for Person Re-Identification., , , and . AVSS, page 1-8. IEEE, (2022)Colorectal Cancer Image Segmentation and Classification with Deep Neural Network Based on Information Theory., , , and . BIBM, page 2968-2970. IEEE, (2020)Real-Time Drowsiness Detection Algorithm for Driver State Monitoring Systems., , , , and . ICUFN, page 73-75. IEEE, (2018)Learning Temporal Attention Based Keypoint-Guided Embedding for Gait Recognition., , , , , and . IEEE J. Sel. Top. Signal Process., 17 (3): 689-698 (May 2023)Collaborative multi-modal deep learning and radiomic features for classification of strokes within 6 h., , , , and . Expert Syst. Appl., (October 2023)GAITTAKE: Gait Recognition by Temporal Attention and Keypoint-Guided Embedding., , , , , and . ICIP, page 2546-2550. IEEE, (2022)Low-Cost Real-time Driver Drowsiness Detection based on Convergence of IR Images and EEG Signals., , , and . ICAIIC, page 438-443. IEEE, (2021)