| Factors associated with successful magnetic resonance-guided focused ultrasound treatment: efficiency of acoustic energy delivery through the skull WS Chang, HH Jung, E Zadicario, I Rachmilevitch, T Tlusty, S Vitek, ... Journal of neurosurgery 124 (2), 411-416, 2016 | 174 | 2016 |
| Different magnetic resonance imaging patterns after transcranial magnetic resonance–guided focused ultrasound of the ventral intermediate nucleus of the thalamus and anterior … HH Jung, WS Chang, I Rachmilevitch, T Tlusty, E Zadicario, JW Chang Journal of neurosurgery 122 (1), 162-168, 2015 | 81 | 2015 |
| 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 |
| Unsupervised clustering of mammograms for outlier detection and breast density estimation T Tlusty, G Amit, R Ben-Ari 2018 24th International Conference on Pattern Recognition (ICPR), 3808-3813, 2018 | 14 | 2018 |
| Systems and methods for optimizing transskull acoustic treatment T Tlusty, S Vitek, E Zadicario US Patent 10,456,603, 2019 | 12 | 2019 |
| Modifying non-local variations across multiple views T Tlusty, T Michaeli, T Dekel, L Zelnik-Manor Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 10 | 2018 |
| Multimodal prediction of breast cancer relapse prior to neoadjuvant chemotherapy treatment S Rabinovici-Cohen, A Abutbul, XM Fernández, O Hijano Cubelos, ... Predictive Intelligence in Medicine: Third International Workshop, PRIME …, 2020 | 7 | 2020 |
| Virtual biopsy by using artificial intelligence–based multimodal modeling of binational mammography data V Barros, T Tlusty, E Barkan, E Hexter, D Gruen, M Guindy, M Rosen-Zvi Radiology 306 (3), e220027, 2022 | 6 | 2022 |
| Radiomics for predicting response to neoadjuvant chemotherapy treatment in breast cancer S Rabinovici-Cohen, T Tlusty, A Abutbul, K Antila, X Fernandez, BG Rejo, ... Medical imaging 2020: imaging informatics for healthcare, research, and …, 2020 | 6 | 2020 |
| Early prediction of metastasis in women with locally advanced breast cancer S Rabinovici-Cohen, T Tlusty, XM Fernández, BG Rejo Medical Imaging 2022: Computer-Aided Diagnosis 12033, 106-115, 2022 | 3 | 2022 |
| Mammogram classification with ordered loss R Ben-Ari, Y Shoshan, T Tlusty Artificial Intelligence in Medicine: 17th Conference on Artificial …, 2019 | 3 | 2019 |
| Pre-biopsy multi-class classification of breast lesion pathology in mammograms T Tlusty, M Ozery-Flato, V Barros, E Barkan, M Amit, D Gruen, M Guindy, ... Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021 | 2 | 2021 |
| Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge W Li, SC Partridge, DC Newitt, J Steingrimsson, HS Marques, PJ Bolan, ... Radiology: Imaging Cancer 6 (1), e230033, 2024 | 1 | 2024 |
| Pre-biopsy multi-class classification of breast lesion pathology in mammograms EH Tal Tlusty, Michal Ozery-Flato, Vesna Barros, Ella Barkan, Mika Amit ... 12TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING IN MEDICAL IMAGING (MLMI 2021), 2021 | | 2021 |
| Systems and methods for optimizing transskull acoustic treatment T Tlusty, S Vitek, E Zadicario US Patent App. 16/524,603, 2019 | | 2019 |
| COMBINED FOCUSED ULTRASOUND ANDGAMMA KNIFE TREATMENT OF MESIAL TEMPORAL LOBE EPILEPSY: COMPUTER SIMULATION STUDY M Medvedovsky, M Artzi, E Zadicario, Y Levy, T Tlusty, R Foroni, ... EPILEPSIA 55, 171-172, 2014 | | 2014 |
| Modifying Non-Local Variations Across Multiple Views-K-View extension T Tlusty, T Michaeli, T Dekel, L Zelnik-Manor | | |
