Stella Pelengaris

Publication Activity (10 Years)

Years Active: 2008-2019
Publications (10 Years): 4

Top Topics

Cell Segmentation

Microscopy Images

Convolutional Neural Network

Top Venues

Medical Image Anal.

Publications

Shan e Ahmed Raza, Linda Cheung, Muhammad Shaban, Simon Graham, David B. A. Epstein, Stella Pelengaris, Michael Khan, Nasir M. Rajpoot
Micro-Net: A unified model for segmentation of various objects in microscopy images. Medical Image Anal. 52 (2019)
Shan-e-Ahmed Raza, Linda Cheung, Muhammad Shaban, Simon Graham, David B. A. Epstein, Stella Pelengaris, Michael Khan, Nasir M. Rajpoot
Micro-Net: A unified model for segmentation of various objects in microscopy images. CoRR (2018)
Shan-e-Ahmed Raza, Linda Cheung, David B. A. Epstein, Stella Pelengaris, Michael Khan, Nasir M. Rajpoot
MIMO-Net: A multi-input multi-output convolutional neural network for cell segmentation in fluorescence microscopy images. ISBI (2017)
Shan e Ahmed Raza, Linda Cheung, David B. A. Epstein, Stella Pelengaris, Michael Khan, Nasir M. Rajpoot
MIMONet: Gland Segmentation Using Multi-Input-Multi-Output Convolutional Neural Network. MIUA (2017)
Julia Herold, Luxian Zhou, Sylvie Abouna, Stella Pelengaris, David B. A. Epstein, Michael Khan, Tim W. Nattkemper
Integrating semantic annotation and information visualization for the analysis of multichannel fluorescence micrographs from pancreatic tissue. Comput. Medical Imaging Graph. 34 (6) (2010)
Julia Herold, Sylvie Abouna, Luxian Zhou, Stella Pelengaris, David B. A. Epstein, Michael Khan, Tim W. Nattkemper
A way toward analyzing high-content bioimage data by means of semantic annotation and visual data mining. Medical Imaging: Image Processing (2009)
Julia Herold, Sylvie Abouna, Luxian Zhou, Stella Pelengaris, David B. A. Epstein, Michael Khan, Tim W. Nattkemper
A machine learning based system for multichannel fluorescence analysis in pancreatic tissue bioimages. BIBE (2008)