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Jannis Born
Jannis Born
IBM Research Europe
Dirección de correo verificada de zurich.ibm.com
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Año
POCOVID-Net: automatic detection of COVID-19 from a new lung ultrasound imaging dataset (POCUS)
J Born, G Brändle, M Cossio, M Disdier, J Goulet, J Roulin, N Wiedemann
ISMB TransMed (arXiv preprint 2004.12084), 2020
212*2020
Accelerating detection of lung pathologies with explainable ultrasound image analysis
J Born, N Wiedemann, M Cossio, C Buhre, G Brändle, K Leidermann, ...
Applied Sciences 11 (2), 672, 2021
190*2021
Toward explainable anticancer compound sensitivity prediction via multimodal attention-based convolutional encoders
M Manica*, A Oskooei*, J Born*, V Subramanian, J Sáez-Rodríguez, ...
Molecular Pharmaceutics 16 (12), 4797-4806, 2019
1362019
CogMol: Target-specific and Selective Drug Design for COVID-19 using Deep Generative Models
V Chenthamarakshan, P Das, S Hoffman, H Strobelt, I Padhi, KW Lim, ...
Advances in Neural Information Processing Systems, NeurIPS 2020, 2020
135*2020
TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention Networks
A Weber, J Born, MR Martínez
Bioinformatics 37 (ISMB Proceedings), 2021
1292021
Covid-19 control by computer vision approaches: A survey
A Ulhaq, J Born, A Khan, DPS Gomes, S Chakraborty, M Paul
IEEE Access 8, 179437-179456, 2020
1202020
Regression transformer enables concurrent sequence regression and generation for molecular language modelling
J Born, M Manica
Nature Machine Intelligence / Spotlight @ ICLR Workshop on ML for Drug …, 2023
101*2023
PaccMannRL: De novo Generation of Hit-like Anticancer Molecules from Transcriptomic Data via Reinforcement Learning
J Born*, M Manica*, A Oskooei*, J Cadow, G Markert, MR Martínez
iScience, 2021
93*2021
On the Role of Artificial Intelligence in Medical Imaging of COVID-19
J Born, D Beymer, D Rajan, A Coy, VV Mukherjee, M Manica, P Prasanna, ...
Patterns 2 (6), 100269, 2021
842021
Unifying Molecular and Textual Representations via Multi-task Language Modelling
D Christofidellis, G Giannone, J Born, O Winther, T Laino, M Manica
International Conference on Machine Learning, ICML 2023, 2023
782023
PaccMann: a web service for interpretable anticancer compound sensitivity prediction
J Cadow*, J Born*, M Manica*, A Oskooei, M Rodríguez Martínez
Nucleic acids research 48 (W1), W502-W508, 2020
502020
Data-driven Molecular Design for Discovery and Synthesis of Novel Ligands-A case study on SARS-CoV-2
J Born, M Manica, J Cadow, G Markert, M Filipavicius, NA Mill, ...
Machine Learning: Science and Technology / ICML 2020 Workshop on …, 2021
442021
PaccMann: Prediction of Anticancer Compound Sensitivity with Multimodal Attention-based Neural Networks
A Oskooei*, J Born*, M Manica*, V Subramanian, J Sáez-Rodríguez, ...
NeurIPS Workshop on Molecules and Materials, 2018
40*2018
Artificial intelligence driven design of catalysts and materials for ring opening polymerization using a domain-specific language
NH Park, M Manica, J Born, JL Hedrick, T Erdmann, DY Zubarev, ...
Nature Communications 14 (1), 3686, 2023
34*2023
Chemical representation learning for toxicity prediction
J Born, G Markert, N Janakarajan, TB Kimber, A Volkamer, MR Martínez, ...
Digital Discovery 2 (3), 674-691, 2023
24*2023
Active Site Sequence Representations of Human Kinases Outperform Full Sequence Representations for Affinity Prediction and Inhibitor Generation: 3D Effects in a 1D Model
J Born, T Huynh, A Stroobants, WD Cornell, M Manica
Journal of Chemical Information and Modeling / NeurIPS workshop on ML for …, 2022
242022
Accelerating material design with the generative toolkit for scientific discovery
M Manica, J Born, J Cadow, D Christofidellis, A Dave, D Clarke, ...
NPJ Computational Materials 9 (1), 69, 2023
23*2023
Multimodal study of the effects of varying task load utilizing EEG, GSR and eye-tracking
J Born, BRN Ramachandran, SA Romero Pinto, S Winkler, R Ratnam
ICMB 2017 Short paper (bioRxiv), 798496, 2019
21*2019
Trends in Deep Learning for Property-driven Drug Design
J Born, M Manica
Current Medicinal Chemistry 28 (38), 7862-7886, 2021
162021
Hebbian Learning of Hand-Centred Representations in a Hierarchical Neural Network Model of the Primate Visual System
J Born, JM Galeazzi, SM Stringer
PLoS One 12(5) / ICCV Workshop on Mutual Benefits of Cognitive and Computer …, 2017
132017
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