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Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction2021 arXiv (Cornell University) preprint Biochemistry, Genetics and Molecular Biology Biomedical Text Mining and Ontologies Open access
Marc-André Schulz, Bertrand Thirion, Alexandre Gramfort, Gaël Varoquaux, Danilo Bzdok
1citations -
Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions2024 BMC Bioinformatics software-paper Computer Science Machine Learning and Data Classification Open access
Moein E. Samadi, Hedieh Mirzaieazar, Alexander Mitsos, Andreas Schuppert
5citations -
Deep Regularized Waveform Learning for Beam Prediction With Limited Samples in Non-Cooperative mmWave Systems2023 IEEE Transactions on Vehicular Technology article Engineering Millimeter-Wave Propagation and Modeling
Hao Huang, Guan Gui, Haris Gacanin, Chau Yuen, Hikmet Sari, Fumiyuki Adachi
30citations -
A hybrid model combining evolutionary probability and machine learning leverages data-driven protein engineering2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Evolutionary Algorithms and Applications Open access
Alexander-Maurice Illig, Niklas E. Siedhoff, Ulrich Schwaneberg, Mehdi D. Davari
11citations -
Evolutionary Probability and Stacked Regressions Enable Data-Driven Protein Engineering with Minimized Experimental Effort2024 Journal of Chemical Information and Modeling article Computer Science Evolutionary Algorithms and Applications
Alexander-Maurice Illig, Niklas E. Siedhoff, Mehdi D. Davari, Ulrich Schwaneberg
3citations -
Transfer Learning for Semi-Supervised Automatic Modulation Classification in ZF-MIMO Systems2020 IEEE Journal on Emerging and Selected Topics in Circuits and Systems article Computer Science Wireless Signal Modulation Classification
Yu Wang, Guan Gui, Haris Gacanin, Tomoaki Otsuki Ohtsuki, Hikmet Sari, Fumiyuki Adachi
115citations -
Anomaly Detection for the Automated Visual Inspection of PET Preform Closures2021 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) conference-paper Engineering Industrial Vision Systems and Defect Detection
Oliver Rippel, Peter Haumering, Johannes Brauers, Dorit Merhof
4citations -
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation2024 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Medicine Retinal Imaging and Analysis
Yuli Wu, Weidong He, Dennis Eschweiler, Ningxin Dou, Zixin Fan, Shengli Mi, +2 more
7citations -
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI2025 SIAM/ASA Journal on Uncertainty Quantification article Medicine Cardiac Imaging and Diagnostics Open access
Felix Terhag, Philipp Knechtges, Achim Basermann, Raul F. Tempone
1citations -
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI2023 arXiv (Cornell University) preprint Medicine Cardiovascular Function and Risk Factors Open access
Felix Terhag, Philipp Knechtges, Achim Basermann, Raul F. Tempone
0citations -
The Aachen Protocol for Deep Learning Histopathology: A hands-on guide for data preprocessing2020 Zenodo (CERN European Organization for Nuclear Research) article Computer Science AI in cancer detection Open access
Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Lara Rosaline Heij, Roman David Buelow, Jeremias Krause, +8 more
29citations