Using a Patch-Wise M-Net Convolutional Neural Network for Tissue Segmentation in Brain MRI Images. - Nagaraj Yamanakkanavar; Bumshik Lee (IEEE Access, 2020)

MRI Segmentation and Classification of Human Brain Using Deep Learning for Diagnosis of Alzheimer's Disease: A Survey. - Nagaraj Yamanakkanavar; Jae Young Choi; Bumshik Lee (Sensors, 2020)

A novel M-SegNet with global attention CNN architecture for automatic segmentation of brain MRI. - Nagaraj Yamanakkanavar; Bumshik Lee (Comput. Biol. Medicine, 2021)

MF2-Net: A multipath feature fusion network for medical image segmentation. - Nagaraj Yamanakkanavar; Bumshik Lee (Eng. Appl. Artif. Intell., 2022)

Multiscale and Hierarchical Feature-Aggregation Network for Segmenting Medical Images. - Nagaraj Yamanakkanavar; Jae Young Choi; Bumshik Lee (Sensors, 2022)

SM-SegNet: A Lightweight Squeeze M-SegNet for Tissue Segmentation in Brain MRI Scans. - Nagaraj Yamanakkanavar; Jae Young Choi; Bumshik Lee (Sensors, 2022)

AMCC-Net: An asymmetric multi-cross convolution for skin lesion segmentation on dermoscopic images. - Chaitra Dayananda; Nagaraj Yamanakkanavar; Truong Nguyen 001; Bumshik Lee (Eng. Appl. Artif. Intell., 2023)