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AskariHemmat, M.H., Honari, S., Rouhier, L., Perone, C. S., Cohen-Adad, J., Savaria, Y., & David, J. P. (2019, October). U-net fixed-point quantization for medical image segmentation [Paper]. 1st International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention (HAL-MICCAI 2019), Shenzhen, China. External link
Calabrese, E., Adil, S. M., Cofer, G., Perone, C. S., Cohen-Adad, J., Lad, S. P., & Johnson, G. A. (2018). Postmortem diffusion MRI of the entire human spinal cord at microscopic resolution. NeuroImage: Clinical, 18, 963-971. Available
Nami, H., Perone, C. S., & Cohen-Adad, J. (2022). Histology-informed automatic parcellation of white matter tracts in the rat spinal cord. Frontiers in Neuroanatomy, 16, 960475 (12 pages). External link
Paugam, F., Lefeuvre, J., Perone, C. S., Gros, C., Reich, D. S., Sati, P., & Cohen-Adad, J. (2019). Open-source pipeline for multi-class segmentation of the spinal cord with deep learning. Magnetic Resonance Imaging, 64, 21-27. External link
Perone, C. S., Ballester, P., Barros, R. C., & Cohen-Adad, J. (2019). Unsupervised domain adaptation for medical imaging segmentation with self-ensembling. NeuroImage, 194, 1-11. External link
Perone, C. S., Calabrese, E., & Cohen-Adad, J. (2018). Spinal cord gray matter segmentation using deep dilated convolutions. Scientific Reports, 8(1), 5966 (13 pages). Available
Perone, C. S., & Cohen-Adad, J. (2018, September). Deep semi-supervised segmentation with weight-averaged consistency targets [Paper]. 4th International Workshop on Deep Learning in Medical Image Analysis (DLMIA 2018) and 8th International Workshop on Multimodal Learning for Clinical Decision Support (ML-CDS 2018), Granada, Spain. External link
Zaimi, A., Wabartha, M., Herman, V., Antonsanti, P.-L., Perone, C. S., & Cohen-Adad, J. (2018). AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks. Scientific Reports, 8(1), 3816 (11 pages). Available
