Veronika Cheplygina

5 papers · 2021–2024 · 4 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

Jump to papers ↓

+1 more ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 👥 Mega-Team · Civilization ❓ The Questioner (2)

🚀 Conference Pioneer

Venues

MIDL (2) CVPR (1) MICCAI (1) NeurIPS (1)

Top co-authors

Dovile Juodelyte (2) Théo Sourget (2) Caroline Petitjean (2) Lena Maier-Hein (2) Paul F. Jäger (2) Amelia Jiménez-Sánchez (2) Minu D. Tizabi (2) Annika Reinke (2) Annette Kopp-Schneider (2) Carole H. Sudre (2)

Research topics

Computer Vision (3) Machine Learning (3) Domain-Specific (3) Application Areas (2) Deep Learning (1) Healthcare & Medicine (1) Clinical (1) Learning Types (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1) Processing (1) Research (1) Techniques (1)

Keywords

semantic segmentation (1) multi-task learning (1) data augmentation (1) medical image segmentation (1) image analysis (1) biomedical imaging (1) convolutional network (1) dataset quality (1) organ segmentation (1) boundary loss (1) data documentation (1) multi-stage pipeline (1) dataset governance (1) benchmark competition (1) benchmarking competition (1) participation strategy (1) medical imaging dataset (1) community platform (1) dataset (1) citation practices (1)

Papers

[Citation needed] Data usage and citation practices in medical imaging conferences MIDL 2024 Confidence intervals uncovered: Are we ready for real-world medical imaging AI? MICCAI 2024 Copycats: the many lives of a publicly available medical imaging dataset NeurIPS 2024 Why Is the Winner the Best? CVPR 2023 A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation MIDL 2021