A machine learning based system for multichannel fluorescence analysis in pancreatic tissue bioimages. - Julia Herold; Sylvie Abouna; Luxian Zhou; Stella Pelengaris; David B. A. Epstein; Michael Khan; Tim W. Nattkemper (BIBE, 2008)

A way toward analyzing high-content bioimage data by means of semantic annotation and visual data mining. - Julia Herold; Sylvie Abouna; Luxian Zhou; Stella Pelengaris; David B. A. Epstein; Michael Khan; Tim W. Nattkemper (Image Processing, 2009)

Integrating semantic annotation and information visualization for the analysis of multichannel fluorescence micrographs from pancreatic tissue. - Julia Herold; Luxian Zhou; Sylvie Abouna; Stella Pelengaris; David B. A. Epstein; Michael Khan; Tim W. Nattkemper (Comput. Medical Imaging Graph., 2010)

MIMO-Net: A multi-input multi-output convolutional neural network for cell segmentation in fluorescence microscopy images. - Shan-E-Ahmed Raza; Linda Cheung; David B. A. Epstein; Stella Pelengaris; Michael Khan; Nasir M. Rajpoot (ISBI, 2017)

MIMONet: Gland Segmentation Using Multi-Input-Multi-Output Convolutional Neural Network. - Shan E Ahmed Raza; Linda Cheung; David B. A. Epstein; Stella Pelengaris; Michael Khan; Nasir M. Rajpoot (MIUA, 2017)

Micro-Net: A unified model for segmentation of various objects in microscopy images. - Shan E Ahmed Raza; Linda Cheung; Muhammad Shaban; Simon Graham; David B. A. Epstein; Stella Pelengaris; Michael Khan; Nasir M. Rajpoot (Medical Image Anal., 2019)