Enabling the visualization for reasoning about temporal data. - Nikolay Burlutskiy; Miltos Petridis; Andrew Fish; Nour Ali (VL/HCC, 2014)

Design and evaluation of euler diagram and treemap for social network visualisation. - Mithileysh Sathiyanarayanan; Nikolay Burlutskiy (COMSNETS, 2015)

Prediction of Users' Response Time in Q&A Communities. - Nikolay Burlutskiy; Andrew Fish; Nour Ali; Miltos Petridis (ICMLA, 2015)

An Investigation on Online Versus Batch Learning in Predicting User Behaviour. - Nikolay Burlutskiy; Miltos Petridis; Andrew Fish; Alexey Chernov; Nour Ali (SGAI Conf., 2016)

Prediction of user behaviour on the Web. - Nikolay Burlutskiy (2017)

Multi-resolution Networks for Semantic Segmentation in Whole Slide Images. - Feng Gu; Nikolay Burlutskiy; Mats Andersson; Lena Kajland Wilén (COMPAY/OMIA@MICCAI, 2018)

A Deep Learning Framework for Automatic Diagnosis in Lung Cancer. - Nikolay Burlutskiy; Feng Gu; Lena Kajland Wilen; Max Backman; Patrick Micke (CoRR, 2018)

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 (MIDL, 2019)

Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Omics Data. - Sophie Peacock; Etai Jacob; Nikolay Burlutskiy (IJCNN, 2022)

Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Genomics Data. - Sophie Peacock; Etai Jacob; Nikolay Burlutskiy (CoRR, 2022)

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; et al. (MIDL, 2023)

Utilizing Weak-to-Strong Consistency for Semi-Supervised Glomeruli Segmentation. - 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; et al. (CoRR, 2024)

Lung tumor segmentation in MRI mice scans using 3D nnU-Net with minimum annotations. - Piotr Kaniewski; Fariba Yousefi; Yeman Brhane Hagos; Talha Qaiser; Nikolay Burlutskiy (CoRR, 2024)

Leveraging Transfer Learning and Multiple Instance Learning for HER2 Automatic Scoring of H&E Whole Slide Images. - Rawan S. Abdulsadig; Bryan M. Williams 001; Nikolay Burlutskiy (CoRR, 2024)

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans. - Nikolay Burlutskiy; Marija Kekic; Jordi de La Torre; Philipp Plewa; Mehdi Boroumand; Julia Jurkowska; Borjan Venovski; Maria Chiara Biagi; Yeman Brhane Hagos; Roksana Malinowska-Traczyk; Yibo Wang; Jacek Zalewski; et al. (CoRR, 2024)

Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? - Che Liu; Zhongwei Wan; Haozhe Wang 002; Yinda Chen; Talha Qaiser; Chen Jin; Nikolay Burlutskiy; Fariba Yousefi; Rossella Arcucci (ACL (Findings), 2025)

Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation. - Zhihua Liu; Amrutha Saseendran; Lei Tong; Xilin He; Fariba Yousefi; Nikolay Burlutskiy; Dino Oglic; Tom Diethe; Philip Teare; Huiyu Zhou 001; Chen Jin (CoRR, 2025)