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Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening2026 arXiv (Cornell University) preprint Environmental Science Atmospheric and Environmental Gas Dynamics Open access
Solomiia Kurchaba, Joannes D. Maasakkers, Berend J. Schuit, Ilse Aben
0citations -
A combination of convergent extension and differential adhesion explains the shapes of elongating gastruloids2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Developmental Biology and Gene Regulation Open access
Martijn A. de Jong, Esmée Adegeest, Noémie M. L. P. Bérenger-Currias, Maria Mircea, Roeland M. H. Merks, Stefan Semrau
2citations -
An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease2023 arXiv (Cornell University) preprint Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Bo Li, Janne M. Papma, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, +6 more
1citations -
MSA$^2$Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Sina Ghorbani Kolahi, S. Kamal Chaharsooghi, Toktam Khatibi, Afshin Bozorgpour, Reza Azad, Moein Heidari, +2 more
6citations -
A Hybrid Knowledge- and Data-driven Model for Automatic Assessment of Induced Spiking Patterns in C-fiber Microneurography: Methodological Development2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Neuroscience and Neural Engineering Open access
Alina Troglio, Andrea Fiebig, Anna Maxion, Ekaterina Kutafina, Barbara Namer
0citations -
GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease2025 arXiv (Cornell University) preprint Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Huiberdina L. Koek, Jurgen A.H.R. Claassen, +5 more
0citations -
A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing2021 Genome Research preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Brian D. Aevermann, Yun Zhang, Mark A. Novotny, Mohamed Keshk, Trygve E. Bakken, Jeremy A. Miller, +4 more
96citations -
NS-Forest: A machine learning method for the objective identification of minimum marker gene combinations for cell type determination from single cell RNA sequencing2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Brian D. Aevermann, Yun Zhang, Mark A. Novotny, Trygve E. Bakken, Jeremy A. Miller, Rebecca D. Hodge, +3 more
12citations -
WALDO: community-Wide Annotation of γδ Lymphocytes in single-cell Data, Openly benchmarked2026 Zenodo (CERN European Organization for Nuclear Research) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Farid Keramati, Moosa Rezwani, Likai Tan, David Hamilton, Zheng Song, Tao Yang, +10 more
0citations