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Supplementary dara for "Genome-inspired cultivation of bacteria from deep-sea sponge Geodia barretti"2026 Zenodo (CERN European Organization for Nuclear Research) supplementary-materials Biochemistry, Genetics and Molecular Biology Marine Sponges and Natural Products Open access
Pavlo Hrab, M Muller, Sophie Elise Smit, Michelle Schorn, Catarina Loureiro, Marnix H. Medema, +1 more
0citations -
Diagnosing small fiber neuropathy in clinical practice: a deep phenotyping study2021 Therapeutic Advances in Neurological Disorders article Neuroscience Hereditary Neurological Disorders Open access
Nadine Egenolf, Caren Meyer zu Altenschildesche, Luisa Kreß, Katja Eggermann, Barbara Namer, Franziska Gross, +7 more
71citations -
Forecasting the potential of weak lensing magnification to enhance LSST large-scale structure analyses2022 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Cosmology and Gravitation Theories Open access
Constance Mahony, Maria Cristina Fortuna, Benjamin Joachimi, Andreas J. Korn, Henk Hoekstra, Samuel J. Schmidt, +1 more
18citations -
Adaptation and Engine Validation of an FTIR Exhaust Gas Analysis Method for C1-Based Potential GHG-Neutral Synthetic Fuels/Gasoline-Blends Containing Dimethyl Carbonate and Methyl Formate2022 SAE technical papers on CD-ROM/SAE technical paper series conference-paper Chemical Engineering Advanced Combustion Engine Technologies
Philip J. Jakubec, Sanket Girhe, Felix Fellner, Martin Härtl, Malte Jaensch, Georg Wachtmeister, +1 more
17citations -
Bimodal nanobody agents for cancer imaging and potential intraoperative guidance: a systematic review2026 Journal of Nanobiotechnology review Medicine Radiopharmaceutical Chemistry and Applications Open access
Najaf Mammadbayli, Betül Altunay, Quim Peña, Dmytro Kobzev, Agnieszka Morgenroth, Masoud Sadeghzadeh, +4 more
3citations -
Bimodal nanobody agents for cancer imaging and potential intraoperative guidance: a systematic review2026 Figshare supplementary-materials Medicine Radiopharmaceutical Chemistry and Applications Open access
Najaf Mammadbayli, Betül Altunay, Quim Peña, Dmytro Kobzev, Agnieszka Morgenroth, Masoud Sadeghzadeh, +4 more
0citations -
A Deep Study of Resistance Switching Phenomena in TaOx ReRAM Cells: System‐Theoretic Dynamic Route Map Analysis and Experimental Verification2022 Advanced Electronic Materials article Engineering Advanced Memory and Neural Computing Open access cited by 1 patent
Alon Ascoli, Stephan Menzel, Vikas Rana, Tim Kempen, Ioannis Messaris, Ahmet Şamil Demirkol, +3 more
37citations -
Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney2024 Scientific Reports article Computer Science Medical Image Segmentation Techniques Open access cited by 1 patent
Ekin Yağış, Shahab Aslani, Yashvardhan Jain, Yang Zhou, Shahrokh Rahmani, Joseph Brunet, +7 more
25citations -
Particulate impurities in cell-based medicinal products traced by flow imaging microscopy combined with deep learning for image analysis2020 Cytotherapy article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access cited by 2 patents
Adam Grabarek, Enes Senel, Tim Menzen, Karin H. Hoogendoorn, Karin Pike‐Overzet, Andrea Hawe, +1 more
24citations -
Deep mining of the Sequence Read Archive reveals bipartite coronavirus genomes and inter-family Spike glycoprotein recombination2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Agricultural and Biological Sciences Animal Virus Infections Studies Open access
Chris Lauber, Josef Vaas, Franziska Klingler, Pascal Mutz, Alexander E. Gorbalenya, Ralf F. W. Bartenschlager, +1 more
10citations -
Auxiliaries’ power and energy demand prediction of battery electric vehicles using system identification and deep learning2023 IET Intelligent Transport Systems article Engineering Electric and Hybrid Vehicle Technologies Open access
Lukas Schäfers, Kai Franke, René Savelsberg, Stefan Pischinger
8citations -
Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials2026 Computational Materials Science article Materials Science Machine Learning in Materials Science Open access
G. Laskaris, D. Morozov, D. Tarpanov, A. Seth, J. Procelewska, Gopalakrishnan Sai Gautam, +3 more
2citations