Papers matching “deep learning training data” 641
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Self-supervised Semantic Segmentation: Consistency over Transformation2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) conference-paper Computer Science Medical Image Segmentation Techniques Open access
Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulaş Bağcı, Dorit Merhof
6citations -
CellSium: versatile cell simulator for microcolony ground truth generation2022 Bioinformatics Advances article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
Christian Carsten Sachs, Karina Ruzaeva, Johannes Seiffarth, Wolfgang Wiechert, Benjamin Berkels, Katharina Nöh
3citations -
Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression?2023 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Joe Harrison, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
8citations -
Recognition of tenogenic differentiation using convolutional neural network2020 Current Directions in Biomedical Engineering article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
Gözde Dursun, Saurabh Balkrishna Tandale, Jörg Eschweiler, Mersedeh Tohidnezhad, Bernd A. Markert, Marcus Stoffel
7citations -
Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-Guided Radiotherapy2025 Lecture notes in computer science conference-paper Computer Science Medical Image Segmentation Techniques Open access
Nikoo Moradi, André Filipe Ferreira, Behrus Puladi, Jens Kleesiek, Emad Fatemizadeh, Gijs Luijten, +2 more
4citations -
Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Nikoo Moradi, André Filipe Ferreira, Behrus Puladi, Jens Kleesiek, Emad Fatemizadeh, Gijs Luijten, +2 more
0citations -
Rapid Augmentations for Time Series (RATS): A High-Performance Library for Time Series Augmentation2026 arXiv (Cornell University) preprint Computer Science Time Series Analysis and Forecasting Open access
Wadie Skaf, Felix Kern, Aryamaan Basu Roy, Tejas Pradhan, Roman Kalkreuth, Holger H. Hoos
0citations -
Uncertainty Calibration of Multi-Label Bird Sound Classifiers2026 International Conference on Agents and Artificial Intelligence (ICAART) conference-paper Computer Science Music and Audio Processing Open access
Raphael Schwinger, Ben McEwen, Vincent S. Kather, René Heinrich, Lukas Rauch, Sven Tomforde
0citations