Mark Eastwood

29 papers B 5Journal 13Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beer-Lambert Autoencoder for Unsupervised Stain Representation Learning and Deconvolution in Multi-immunohistochemical Brightfield Histology Images.
CoRR
Mark Eastwood, Thomas Alexander McKee, Zedong Hu, Sabine Tejpar, Fayyaz Minhas
2025 J jnl
CORE - A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment.
CoRR
Esha Sadia Nasir, Behnaz Elhaminia, Mark Eastwood, Catherine King, Owen Cain, Lorraine Harper, Paul Moss, Dimitrios Chanouzas, David R. J. Snead, Nasir M. Rajpoot, Adam J. Shephard, Shan-E-Ahmed Raza
2025 J jnl
INSIGHT: Spatially resolved survival modelling from routine histology crosslinked with molecular profiling reveals prognostic epithelial-immune axes in stage II/III colorectal cancer.
CoRR
Piotr Keller, Mark Eastwood, Zedong Hu, Aimée Selten, Ruqayya Awan, Gertjan Rasschaert, Sara Verbandt, Vlad Popovici, Hubert Piessevaux, Hayley T. Morris, Petros Tsantoulis, Thomas Alexander McKee, André D'Hoore, Cédric Schraepen, Xavier Sagaert, Gert De Hertogh, Sabine Tejpar, Fayyaz Minhas
2025 — conf
Leveraging Pathology Foundation Models for Panoptic Segmentation of Melanoma in H&E Images.
MIUA (1)
Jiaqi Lv, Yijie Zhu, Carmen Guadalupe Colin Tenorio, Brinder Singh Chohan, Mark Eastwood, Shan E Ahmed Raza
2025 J jnl
Leveraging Pathology Foundation Models for Panoptic Segmentation of Melanoma in H&E Images.
CoRR
Jiaqi Lv, Yijie Zhu, Carmen Guadalupe Colin Tenorio, Brinder Singh Chohan, Mark Eastwood, Shan E Ahmed Raza
2024 J jnl
Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer.
Medical Image Anal.
Neda Zamanitajeddin, Mostafa Jahanifar, Mohsin Bilal, Mark Eastwood, Nasir M. Rajpoot
2024 J jnl
TIAViz: A Browser-based Visualization Tool for Computational Pathology Models.
CoRR
Mark Eastwood, John Pocock, Mostafa Jahanifar, Adam Shephard, Skiros Habib, Ethar Alzaid, Abdullah Alsalemi, Jan Lukas Robertus, Nasir M. Rajpoot, Shan E Ahmed Raza, Fayyaz Minhas
2023 J jnl
An aggregation of aggregation methods in computational pathology.
Medical Image Anal.
Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, Hammam M. AlGhamdi, Amina Asif, Mark Eastwood, Nasir M. Rajpoot
2023 J jnl
Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data.
Artif. Intell. Medicine
Mark Eastwood, Silviu Tudor Marc, Xiaohong W. Gao, Heba Sailem, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Fayyaz Minhas, Jan Lukas Robertus
2023 J jnl
MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images.
CoRR
Mark Eastwood, Heba Sailem, Silviu Tudor Marc, Xiaohong W. Gao, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Fayyaz ul Amir Afsar Minhas, Jan Lukas Robertus
2022 J jnl
An Aggregation of Aggregation Methods in Computational Pathology.
CoRR
Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, Hammam M. AlGhamdi, Amina Asif, Mark Eastwood, Nasir M. Rajpoot
2022 B conf
Malignant Mesothelioma Subtyping of Tissue Images via Sampling Driven Multiple Instance Prediction.
AIME
Mark Eastwood, Silviu Tudor Marc, Xiaohong W. Gao, Heba Sailem, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Fayyaz A. Minhas, Jan Lukas Robertus
2022 — conf
Neural Graph Modelling of Whole Slide Images for Survival Ranking.
LoG
Callum Christopher Mackenzie, Muhammad Dawood, Simon Graham, Mark Eastwood, Fayyaz ul Amir Afsar Minhas
2018 B conf
Deep CNNs with Rotational Filters for Rotation Invariant Character Recognition.
IJCNN
Erik Barrow, Mark Eastwood, Chrisina Jayne
2018 — conf
Deep Learning for Real Time Facial Expression Recognition in Social Robots.
ICONIP (5)
Ariel Ruiz-Garcia, Nicola Webb, Vasile Palade, Mark Eastwood, Mark Elshaw
2018 — conf
Unifying and Analysing Activities of Daily Living in Extra Care Homes.
DASC/PiCom/DataCom/CyberSciTech
Alexandros Konios, Yanguo Jing, Mark Eastwood, Bo Tan
2017 — conf
An intelligent well-being monitoring system for residents in extra care homes.
IML
Yanguo Jing, Mark Eastwood, Bo Tan, Alexandros Konios, Abdul Hamid, Mark Collinson
2016 — conf
Selective Dropout for Deep Neural Networks.
ICONIP (3)
Erik Barrow, Mark Eastwood, Chrisina Jayne
2015 — conf
Deep Dropout Artificial Neural Networks for Recognising Digits and Characters in Natural Images.
ICONIP (4)
Erik Barrow, Chrisina Jayne, Mark Eastwood
2014 B conf
Dual Deep Neural Network approach to matching data in different modes.
IJCNN
Mark Eastwood, Chrisina Jayne
2014 J jnl
Evaluation of hyperbox neural network learning for classification.
Neurocomputing
Mark Eastwood, Chrisina Jayne
2014 B conf
From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors.
IDA
Marcin Budka, Mark Eastwood, Bogdan Gabrys, Petr Kadlec, Manuel Martin Salvador, Stephanie Schwan, Athanasios Tsakonas, Indre Zliobaite
2013 B conf
Restricted Boltzmann machines for pre-training deep Gaussian networks.
IJCNN
Mark Eastwood, Chrisina Jayne
2012 J jnl
Generalised bottom-up pruning: A model level combination of decision trees.
Expert Syst. Appl.
Mark Eastwood, Bogdan Gabrys
2011 — conf
Interpretable, Online Soft-Sensors for Process Control.
ICDM Workshops
Mark Eastwood, Petr Kadlec
2011 — conf
Model level combination of tree ensemble hyperboxes via GFMM.
FSKD
Mark Eastwood, Bogdan Gabrys
2010 — —
Building well-performing classifier ensembles : model and decision level combination.
Mark Eastwood
2009 — conf
A Non-sequential Representation of Sequential Data for Churn Prediction.
KES (1)
Mark Eastwood, Bogdan Gabrys
2007 J jnl
The Dynamics of Negative Correlation Learning.
J. VLSI Signal Process.
Mark Eastwood, Bogdan Gabrys