Nikolay Burlutskiy

24 papers A* 1B 2C 1Misc 1Journal 11Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? ACL (Findings) Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Nikolay Burlutskiy, Fariba Yousefi, Rossella Arcucci
2025	A*	`conf`	Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation. ICML Zhihua Liu, Amrutha Saseendran, Lei Tong, Xilin He, Fariba Yousefi, Nikolay Burlutskiy, Dino Oglic, Tom Diethe, Philip Alexander Teare, Huiyu Zhou, Chen Jin
2025	J	`jnl`	Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation. CoRR Zhihua Liu, Amrutha Saseendran, Lei Tong, Xilin He, Fariba Yousefi, Nikolay Burlutskiy, Dino Oglic, Tom Diethe, Philip Teare, Huiyu Zhou, Chen Jin
2024	J	`jnl`	Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? CoRR Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Fariba Yousefi, Nikolay Burlutskiy, Rossella Arcucci
2024	J	`jnl`	Leveraging Transfer Learning and Multiple Instance Learning for HER2 Automatic Scoring of H&E Whole Slide Images. CoRR Rawan S. Abdulsadig, Bryan M. Williams, Nikolay Burlutskiy
2024	J	`jnl`	Lung tumor segmentation in MRI mice scans using 3D nnU-Net with minimum annotations. CoRR Piotr Kaniewski, Fariba Yousefi, Yeman Brhane Hagos, Talha Qaiser, Nikolay Burlutskiy
2024	J	`jnl`	MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans. CoRR 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, Paula Sawczuk, Karlo Pintaric, Fariba Yousefi, Leif Hultin
2024	—	`ed.`	Proceedings of the MICCAI Workshop on Computational Pathology, Marrakesh, Morocco, 6 October 2024. COMPAY@MICCAI Francesco Ciompi, Nadieh Khalili, Linda Studer, Milda Poceviciute, Amjad Khan, Mitko Veta, Yiping Jiao, Neda Haj-Hosseini, Hao Chen, Shan Raza, Fayyaz Minhas, Inti Zlobec, Nikolay Burlutskiy, Veronica Vilaplana, Biagio Brattoli, Henning Müller, Manfredo Atzori
2024	J	`jnl`	Utilizing Weak-to-Strong Consistency for Semi-Supervised Glomeruli Segmentation. CoRR 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
2023	—	`conf`	Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning. MIDL 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
2023	J	`jnl`	Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning. CoRR 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
2022	J	`jnl`	Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Genomics Data. CoRR Sophie Peacock, Etai Jacob, Nikolay Burlutskiy
2022	B	`conf`	Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Omics Data. IJCNN Sophie Peacock, Etai Jacob, Nikolay Burlutskiy
2021	—	`ed.`	MICCAI Workshop on Computational Pathology, COMPAY@MICCAI 2021, 27 September 2021, Virtual Event COMPAY@MICCAI Manfredo Atzori, Nikolay Burlutskiy, Francesco Ciompi, Zhang Li, Fayyaz A. Minhas, Henning Müller, Tingying Peng, Nasir M. Rajpoot, Ben Torben-Nielsen, Jeroen van der Laak, Mitko Veta, Yinyin Yuan, Inti Zlobec
2019	—	`conf`	Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data. MIDL Nikolay Burlutskiy, Nicolas Pinchaud, Feng Gu, Daniel Hägg, Mats Andersson, Lars Björk, Kristian Eurén, Cristina Svensson, Lena Kajland Wilén, Martin Hedlund
2019	J	`jnl`	Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data. CoRR Nikolay Burlutskiy, Nicolas Pinchaud, Feng Gu, Daniel Hägg, Mats Andersson, Lars Björk, Kristian Eurén, Cristina Svensson, Lena Kajland Wilén, Martin Hedlund
2018	J	`jnl`	A Deep Learning Framework for Automatic Diagnosis in Lung Cancer. CoRR Nikolay Burlutskiy, Feng Gu, Lena Kajland Wilen, Max Backman, Patrick Micke
2018	J	`jnl`	Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images. CoRR Feng Gu, Nikolay Burlutskiy, Mats Andersson, Lena Kajland Wilen
2018	—	`conf`	Multi-resolution Networks for Semantic Segmentation in Whole Slide Images. COMPAY/OMIA@MICCAI Feng Gu, Nikolay Burlutskiy, Mats Andersson, Lena Kajland Wilén
2017	—	`—`	Prediction of user behaviour on the Web. Nikolay Burlutskiy
2016	—	`conf`	An Investigation on Online Versus Batch Learning in Predicting User Behaviour. SGAI Conf. Nikolay Burlutskiy, Miltos Petridis, Andrew Fish, Alexey Chernov, Nour Ali
2015	Misc	`conf`	Design and evaluation of euler diagram and treemap for social network visualisation. COMSNETS Mithileysh Sathiyanarayanan, Nikolay Burlutskiy
2015	C	`conf`	Prediction of Users' Response Time in Q&A Communities. ICMLA Nikolay Burlutskiy, Andrew Fish, Nour Ali, Miltos Petridis
2014	B	`conf`	Enabling the visualization for reasoning about temporal data. VL/HCC Nikolay Burlutskiy, Miltos Petridis, Andrew Fish, Nour Ali