Nikolay Burlutskiy

4 papers · 2019–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

🚀 Conference Pioneer ❓ The Questioner

Venues

MIDL (2) ACL (1) ICML (1)

Top co-authors

Fariba Yousefi (2) Chen Jin (2) Talha Qaiser (2) Cristina Svensson (1) Azam Hamidinekoo (1) Zhongwei Wan (1) Jessica Neisen (1) Philip Alexander Teare (1) Che Liu (1) Pål Lundin (1)

Research topics

Computer Vision (3) Machine Learning (3) Learning Types · Machine Learning (3) Artificial Intelligence (2) Deep Learning (2) Analysis (2) Core AI (2) Domain-Specific (2) Models (2) Learning Types · Deep Learning (1) Processing (1)

Keywords

diffusion model (2) semantic segmentation (2) medical imaging (1) weakly supervised learning (1) deep learning (1) synthetic data generation (1) visual concept (1) synthetic data (1) vision-language model (1) vision-language pre-training (1) zero-shot classification (1) whole slide image (1) attention map (1) cross-attention map (1) chest x-ray (1) radiology report (1) medical image understanding (1) cancer detection (1) ground truth generation (1) prostate biopsy (1)

Papers

Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? ACL 2025 Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation ICML 2025 Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning MIDL 2023 Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data MIDL 2019