| Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS … MJ Cardoso, T Arbel, G Carneiro, T Syeda-Mahmood, JMRS Tavares, ... Springer, 2017 | 797 | 2017 |
| Unsupervised domain adaptation for medical imaging segmentation with self-ensembling CS Perone, P Ballester, RC Barros, J Cohen-Adad NIPS 2018, 2018 | 258 | 2018 |
| Evaluation of sentence embeddings in downstream and linguistic probing tasks CS Perone, R Silveira, TS Paula arXiv preprint arXiv:1806.06259, 2018 | 191 | 2018 |
| Spinal cord gray matter segmentation using deep dilated convolutions CS Perone, E Calabrese, J Cohen-Adad Scientific reports 8 (1), 5966, 2018 | 153 | 2018 |
| Pyevolve: a Python open-source framework for genetic algorithms CS Perone Acm Sigevolution 4 (1), 12-20, 2009 | 152 | 2009 |
| AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks A Zaimi, M Wabartha, V Herman, PL Antonsanti, CS Perone, ... Scientific reports 8 (1), 3816, 2018 | 141 | 2018 |
| Deep semi-supervised segmentation with weight-averaged consistency targets CS Perone, J Cohen-Adad International Workshop on Deep Learning in Medical Image Analysis, 12-19, 2018 | 102 | 2018 |
| TF-IDF and Vector Space Models CS Perone http://blog.christianperone.com, 2013 | 54* | 2013 |
| Promises and limitations of deep learning for medical image segmentation CS Perone, J Cohen-Adad Journal of Medical Artificial Intelligence 2, 2019 | 52 | 2019 |
| Safe real-world autonomous driving by learning to predict and plan with a mixture of experts S Pini, CS Perone, A Ahuja, ASR Ferreira, M Niendorf, S Zagoruyko 2023 IEEE International Conference on Robotics and Automation (ICRA), 10069 …, 2023 | 37 | 2023 |
| U-net fixed-point quantization for medical image segmentation MH AskariHemmat, S Honari, L Rouhier, CS Perone, J Cohen-Adad, ... International Workshop on Large-scale Annotation of Biomedical data and …, 2019 | 34 | 2019 |
| Drivergym: Democratising reinforcement learning for autonomous driving P Kothari, C Perone, L Bergamini, A Alahi, P Ondruska arXiv preprint arXiv:2111.06889, 2021 | 33 | 2021 |
| Deep active learning for axon-myelin segmentation on histology data ML Di Scandalea, CS Perone, M Boudreau, J Cohen-Adad arXiv preprint arXiv:1907.05143, 2019 | 32 | 2019 |
| Postmortem diffusion MRI of the entire human spinal cord at microscopic resolution E Calabrese, SM Adil, G Cofer, CS Perone, J Cohen-Adad, SP Lad, ... NeuroImage: Clinical 18, 963-971, 2018 | 32 | 2018 |
| Open-source pipeline for multi-class segmentation of the spinal cord with deep learning F Paugam, J Lefeuvre, CS Perone, C Gros, DS Reich, P Sati, ... Magnetic resonance imaging 64, 21-27, 2019 | 22 | 2019 |
| Analyzing the Low State of EF Eridani with Hubble Space Telescope Ultraviolet Spectra P Szkody, A Mukadam, BT Gänsicke, RK Campbell, TE Harrison, ... The Astrophysical Journal 716 (2), 1531, 2010 | 16 | 2010 |
| Resuming a system-on-a-chip device CH Costa, TD Perez, CS Perone, T Silva, CA Walrath US Patent 10,228,745, 2019 | 15 | 2019 |
| Machine learning image search C Perone, T da Silva Paula, RP Silveria US Patent App. 16/498,952, 2021 | 12 | 2021 |
| Google’s S2, geometry on the sphere, cells and Hilbert curve CS Perone Terra Incognita.[Online]. Available: http://CRAN. R-project. org/package= raster, 2015 | 11 | 2015 |
| Machine-learning command interaction C Perone, T Paula, RP Silveira US Patent 11,509,794, 2022 | 9 | 2022 |
