Heba Sailem

According to our database, Heba Sailem authored at least 8 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data.

Mark Eastwood, Silviu Tudor Marc, Xiaohong Gao, Heba Sailem, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Fayyaz Minhas, Jan Lukas Robertus

Artif. Intell. Medicine, September, 2023

MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images.

Mark Eastwood, Heba Sailem, Silviu Tudor Marc, Xiaohong Gao, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Fayyaz ul Amir Afsar Minhas, Jan Lukas Robertus

CoRR, 2023

2022

Efficient Bayesian inference for mechanistic modelling with high-throughput data.

Simon Martina Perez, Heba Sailem, Ruth E. Baker

PLoS Comput. Biol., 2022

ShapoGraphy: A User-Friendly Web Application for Creating Bespoke and Intuitive Visualisation of Biomedical Data.

Muhammed Khawatmi, Yoann Steux, Saddam Zourob, Heba Sailem

Frontiers Bioinform., 2022

A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples.

Natalia Garcia Martin, Stefano Malacrino, Marta Wojciechowska, Leticia Campo, Helen Jones, David C. Wedge, Chris Holmes, Korsuk Sirinukunwattana, Heba Sailem, Clare Verrill, Jens Rittscher

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Malignant Mesothelioma Subtyping of Tissue Images via Sampling Driven Multiple Instance Prediction.

Mark Eastwood, Silviu Tudor Marc, Xiaohong Gao, Heba Sailem, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Fayyaz A. Minhas, Jan Lukas Robertus

Proceedings of the Artificial Intelligence in Medicine, 2022

2020

DeepSplit: Segmentation of Microscopy Images Using Multi-task Convolutional Networks.

Andrew Torr, Berke Doga Basaran, Julia Sero, Jens Rittscher, Heba Sailem

Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

2017

Discovery of Rare Phenotypes in Cellular Images Using Weakly Supervised Deep Learning.

Heba Sailem, Mar Arias-Garcia, Chris Bakal, Andrew Zisserman, Jens Rittscher

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017