Patching Weak Convolutional Neural Network Models through Modularization and Composition

- Qi, Binhang, Sun, Hailong, Gao, Xiang, Zhang, Hongyu

Accurate multiple sclerosis detection and prediction using advanced image processing and deep learning

- Afzal, Hafiz Muhammad Rehan

Automatic and robust segmentation of multiple sclerosis lesions with convolutional neural networks

- Afzal, H. M. Rehan, Luo, Suhuai, Ramadan, Saadallah, Lechner-Scott, Jeanette, Amin, Mohammad Ruhul, Li, Jiaming, Afzal, M. Kamran

Cattle counting in the wild with geolocated aerial images in large pasture areas

- Soares, V. H. A, Ponti, M. A., Gonçalves, R. A., Campello, R. J. G. B.

Convolutional neural networks for image segmentation in clinical applications

- Astono, Indriani Puspitasari

Application of Deep Learning in Automated Meal Recognition

- Mao, Jiaxiang, Tran, Dat, Ma, Wanli, Naumovski, Nenad, Kellett, Jane, Martinez-Marroquin, Elisa, Slattery, Andrew

Automatic prediction of the conversion of clinically isolated syndrome to multiple sclerosis using deep learning

- Afzal, H. M. Rehan, Luo, Suhuai, Ramadan, Saadallah, Lechner-Scott, Jeannette, Li, Jiaming

Automatic Alzheimer's disease recognition from MRI data using deep learning method

- Luo, Suhuai, Li, Xuechen, Li, Jiaming