Nikolay Burlutskiy

According to our database, Nikolay Burlutskiy authored at least 11 papers between 2014 and 2023.

Collaborative distances:

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

2023

Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning.

Ricardo Mokhtari, Azam Hamidinekoo, Daniel James Sutton, Arthur Lewis, Bastian Angermann, Ulf Gehrmann, Pål Lundin, Hibret Adissu, Junmei Cairns, Jessica Neisen, Emon Khan, Daniel Marks, Nia Khachapuridze, Talha Qaiser, Nikolay Burlutskiy

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Genomics Data.

Sophie Peacock, Etai Jacob, Nikolay Burlutskiy

CoRR, 2022

Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Omics Data.

Sophie Peacock, Etai Jacob, Nikolay Burlutskiy

Proceedings of the International Joint Conference on Neural Networks, 2022

2019

Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data.

Nikolay Burlutskiy, Nicolas Pinchaud, Feng Gu, Daniel Hägg, Mats Andersson, Lars Björk, Kristian Eurén, Cristina Svensson, Lena Kajland Wilén, Martin Hedlund

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2018

A Deep Learning Framework for Automatic Diagnosis in Lung Cancer.

Nikolay Burlutskiy, Feng Gu, Lena Kajland Wilen, Max Backman, Patrick Micke

CoRR, 2018

Multi-resolution Networks for Semantic Segmentation in Whole Slide Images.

Feng Gu, Nikolay Burlutskiy, Mats Andersson, Lena Kajland Wilén

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2017

Prediction of user behaviour on the Web.

Nikolay Burlutskiy

PhD thesis, 2017

2016

An Investigation on Online Versus Batch Learning in Predicting User Behaviour.

Nikolay Burlutskiy, Miltos Petridis, Andrew Fish, Alexey Chernov, Nour Ali

Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

2015

Prediction of Users' Response Time in Q&A Communities.

Nikolay Burlutskiy, Andrew Fish, Nour Ali, Miltos Petridis

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Design and evaluation of euler diagram and treemap for social network visualisation.

Mithileysh Sathiyanarayanan, Nikolay Burlutskiy

Proceedings of the 7th International Conference on Communication Systems and Networks, 2015

2014

Enabling the visualization for reasoning about temporal data.

Nikolay Burlutskiy, Miltos Petridis, Andrew Fish, Nour Ali

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2014