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Bumshik Lee

Showing results (1-10 of 17) with videos related to

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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 16, 2016
A CU-Level Rate and Distortion Estimation Scheme for RDO of Hardware-Friendly HEVC Encoders Using Low-Complexity Integer DCTsBumshik Lee, Munchurl Kim
Computers in Biology and Medicine|August 24, 2021
A novel M-SegNet with global attention CNN architecture for automatic segmentation of brain MRINagaraj Yamanakkanavar, Bumshik Lee
Sensors (Basel, Switzerland)|January 8, 2023
NG-GAN: A Robust Noise-Generation Generative Adversarial Network for Generating Old-Image NoiseSadat Hossain, Bumshik Lee
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 26, 2019
Fast Computation of Integer DCT-V, DCT-VIII, and DST-VII for Video CodingWoonsung Park, Bumshik Lee, Munchurl Kim
Sensors (Basel, Switzerland)|July 27, 2022
SM-SegNet: A Lightweight Squeeze M-SegNet for Tissue Segmentation in Brain MRI ScansNagaraj Yamanakkanavar, Jae Young Choi, Bumshik Lee
Sensors (Basel, Switzerland)|June 11, 2020
MRI Segmentation and Classification of Human Brain Using Deep Learning for Diagnosis of Alzheimer's Disease: A SurveyNagaraj Yamanakkanavar, Jae Young Choi, Bumshik Lee
Sensors (Basel, Switzerland)|May 20, 2022
Multiscale and Hierarchical Feature-Aggregation Network for Segmenting Medical ImagesNagaraj Yamanakkanavar, Jae Young Choi, Bumshik Lee
Plos One|August 4, 2020
Automatic segmentation of brain MRI using a novel patch-wise U-net deep architectureBumshik Lee, Nagaraj Yamanakkanavar, Jae Young Choi
Plos One|October 16, 2025
BONE-Net: A novel hybrid deep-learning model for effective osteoporosis detectionIshaq Muhammad, Routhu Srinivasa Rao, Bumshik Lee
Sensors (Basel, Switzerland)|June 2, 2021
Multi-Scale Squeeze U-SegNet with Multi Global Attention for Brain MRI SegmentationChaitra Dayananda, Jae-Young Choi, Bumshik Lee
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 16, 2016
A CU-Level Rate and Distortion Estimation Scheme for RDO of Hardware-Friendly HEVC Encoders Using Low-Complexity Integer DCTsBumshik Lee, Munchurl Kim
Computers in Biology and Medicine|August 24, 2021
A novel M-SegNet with global attention CNN architecture for automatic segmentation of brain MRINagaraj Yamanakkanavar, Bumshik Lee
Sensors (Basel, Switzerland)|January 8, 2023
NG-GAN: A Robust Noise-Generation Generative Adversarial Network for Generating Old-Image NoiseSadat Hossain, Bumshik Lee
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 26, 2019
Fast Computation of Integer DCT-V, DCT-VIII, and DST-VII for Video CodingWoonsung Park, Bumshik Lee, Munchurl Kim
Sensors (Basel, Switzerland)|July 27, 2022
SM-SegNet: A Lightweight Squeeze M-SegNet for Tissue Segmentation in Brain MRI ScansNagaraj Yamanakkanavar, Jae Young Choi, Bumshik Lee
Sensors (Basel, Switzerland)|June 11, 2020
MRI Segmentation and Classification of Human Brain Using Deep Learning for Diagnosis of Alzheimer's Disease: A SurveyNagaraj Yamanakkanavar, Jae Young Choi, Bumshik Lee
Sensors (Basel, Switzerland)|May 20, 2022
Multiscale and Hierarchical Feature-Aggregation Network for Segmenting Medical ImagesNagaraj Yamanakkanavar, Jae Young Choi, Bumshik Lee
Plos One|August 4, 2020
Automatic segmentation of brain MRI using a novel patch-wise U-net deep architectureBumshik Lee, Nagaraj Yamanakkanavar, Jae Young Choi
Plos One|October 16, 2025
BONE-Net: A novel hybrid deep-learning model for effective osteoporosis detectionIshaq Muhammad, Routhu Srinivasa Rao, Bumshik Lee
Sensors (Basel, Switzerland)|June 2, 2021
Multi-Scale Squeeze U-SegNet with Multi Global Attention for Brain MRI SegmentationChaitra Dayananda, Jae-Young Choi, Bumshik Lee
Pageof 2