Nikolay Burlutskiy

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 11

Top Venues

CoRR

MIDL

VL/HCC

COMPAY/OMIA@MICCAI

University of Brighton, Eastbourne, Hastings, UK (PHD)

Education History

University of Brighton, Eastbourne, Hastings, UK

PHD

Publications

Irina Zhang, Jim Denholm, Azam Hamidinekoo, Oskar Ålund, Christopher Bagnall, Joana Palés Huix, Michal Sulikowski, Ortensia Vito, Arthur Lewis, Robert Unwin, Magnus Söderberg, Nikolay Burlutskiy, Talha Qaiser
Utilizing Weak-to-Strong Consistency for Semi-Supervised Glomeruli Segmentation. CoRR (2024)
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
Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning. MIDL (2023)
Ricardo Mokhtari, Azam Hamidinekoo, Daniel Sutton, Arthur Lewis, Bastian Angermann, Ulf Gehrmann, Pal Lundin, Hibret Adissu, Junmei Cairns, Jessica Neisen, Emon Khan, Daniel Marks, Nia Khachapuridze, Talha Qaiser, Nikolay Burlutskiy
Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning. CoRR (2023)
Sophie Peacock, Etai Jacob, Nikolay Burlutskiy
Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Genomics Data. CoRR (2022)
Sophie Peacock, Etai Jacob, Nikolay Burlutskiy
Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Omics Data. IJCNN (2022)
Nikolay Burlutskiy, Nicolas Pinchaud, Feng Gu, Daniel Hägg, Mats Andersson, Lars Björk, Kristian Eurén, Cristina Svensson, Lena Kajland Wilén, Martin Hedlund
Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data. CoRR (2019)
Nikolay Burlutskiy, Nicolas Pinchaud, Feng Gu, Daniel Hägg, Mats Andersson, Lars Björk, Kristian Eurén, Cristina Svensson, Lena Kajland Wilén, Martin Hedlund
Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data. MIDL (2019)
Feng Gu, Nikolay Burlutskiy, Mats Andersson, Lena Kajland Wilen
Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images. CoRR (2018)
Nikolay Burlutskiy, Feng Gu, Lena Kajland Wilen, Max Backman, Patrick Micke
A Deep Learning Framework for Automatic Diagnosis in Lung Cancer. CoRR (2018)
Feng Gu, Nikolay Burlutskiy, Mats Andersson, Lena Kajland Wilén
Multi-resolution Networks for Semantic Segmentation in Whole Slide Images. COMPAY/OMIA@MICCAI (2018)
Nikolay Burlutskiy, Miltos Petridis, Andrew Fish, Alexey Chernov, Nour Ali
An Investigation on Online Versus Batch Learning in Predicting User Behaviour. SGAI Conf. (2016)
Mithileysh Sathiyanarayanan, Nikolay Burlutskiy
Design and evaluation of euler diagram and treemap for social network visualisation. COMSNETS (2015)
Nikolay Burlutskiy, Andrew Fish, Nour Ali, Miltos Petridis
Prediction of Users' Response Time in Q&A Communities. ICMLA (2015)
Nikolay Burlutskiy, Miltos Petridis, Andrew Fish, Nour Ali
Enabling the visualization for reasoning about temporal data. VL/HCC (2014)

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Publication Activity (10 Years)

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Nikolay Burlutskiy