Classification of breast lesions using cross-modal deep learning O Hadad, R Bakalo, R Ben-Ari, S Hashoul, G Amit 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 90 | 2017 |
Classification of breast MRI lesions using small-size training sets: comparison of deep learning approaches G Amit, R Ben-Ari, O Hadad, E Monovich, N Granot, S Hashoul Medical Imaging 2017: Computer-Aided Diagnosis 10134, 374-379, 2017 | 72 | 2017 |
Hybrid mass detection in breast MRI combining unsupervised saliency analysis and deep learning G Amit, O Hadad, S Alpert, T Tlusty, Y Gur, R Ben-Ari, S Hashoul Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 28 | 2017 |
Systems and methods for detecting an indication of malignancy in a sequence of anatomical images G Amit, O Hadad US Patent 10,580,137, 2020 | 21 | 2020 |
Human respiration feature extraction in personal emergency response systems and methods R Zack, O Hadad US Patent 10,037,671, 2018 | 11 | 2018 |
Human respiration feature extraction in personal emergency response systems and methods R Zack, O Hadad US Patent 10,621,847, 2020 | 9 | 2020 |
Human motion feature extraction in personal emergency response systems and methods R Zack, O Hadad US Patent 9,576,468, 2017 | 9 | 2017 |
UPSCALE: unconstrained channel pruning A Wan, H Hao, K Patnaik, Y Xu, O Hadad, D Güera, Z Ren, Q Shan International Conference on Machine Learning, 35384-35412, 2023 | 2 | 2023 |