| Deep learning for pulmonary embolism detection on computed tomography pulmonary angiogram: a systematic review and meta-analysis S Soffer, E Klang, O Shimon, Y Barash, N Cahan, H Greenspana, ... Scientific reports 11 (1), 15814, 2021 | 91 | 2021 |
| Multimodal fusion models for pulmonary embolism mortality prediction N Cahan, E Klang, EM Marom, S Soffer, Y Barash, E Burshtein, E Konen, ... Scientific Reports 13 (1), 7544, 2023 | 12 | 2023 |
| Weakly supervised attention model for RV strain classification from volumetric CTPA scans N Cahan, EM Marom, S Soffer, Y Barash, E Konen, E Klang, H Greenspan Computer Methods and Programs in Biomedicine 220, 106815, 2022 | 6 | 2022 |
| Learning rotation invariant features for cryogenic electron microscopy image reconstruction K Bibas, G Weiss-Dicker, D Cohen, N Cahan, H Greenspan 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 563-566, 2021 | 6 | 2021 |
| Improved CycleGAN with application to COVID-19 classification A Bar-El, D Cohen, N Cahan, H Greenspan Medical Imaging 2021: Image Processing 11596, 296-305, 2021 | 6 | 2021 |
| Weakly supervised multimodal 30-day all-cause mortality prediction for pulmonary embolism patients N Cahan, EM Marom, S Soffer, Y Barash, E Konen, E Klang, H Greenspan 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022 | 5 | 2022 |
| Improved segmentation by adversarial U-Net D Sriker, D Cohen, N Cahan, H Greenspan Medical Imaging 2021: Computer-Aided Diagnosis 11597, 290-295, 2021 | 3 | 2021 |
| X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioning N Cahan, E Klang, G Aviram, Y Barash, E Konen, R Giryes, H Greenspan arXiv preprint arXiv:2406.16109, 2024 | | 2024 |
| RV strain classification from 3D CTPA scans using weakly supervised residual attention model N Cahan, EM Marom, S Soffer, Y Barash, E Konen, E Klang, H Greenspan Medical Imaging 2021: Computer-Aided Diagnosis 11597, 406-411, 2021 | | 2021 |
