Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines SC Huang, A Pareek, S Seyyedi, I Banerjee, MP Lungren NPJ digital medicine 3 (1), 136, 2020 | 473 | 2020 |
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III N Navab, J Hornegger, WM Wells, A Frangi Springer, 2015 | 419 | 2015 |
Automated coronary calcium scoring using deep learning with multicenter external validation D Eng, C Chute, N Khandwala, P Rajpurkar, J Long, S Shleifer, ... NPJ digital medicine 4 (1), 88, 2021 | 90 | 2021 |
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I AL Martel, P Abolmaesumi, D Stoyanov, D Mateus, MA Zuluaga, SK Zhou, ... Springer Nature, 2020 | 85 | 2020 |
Six dimensional X-ray Tensor Tomography with a compact laboratory setup Y Sharma, M Wieczorek, F Schaff, S Seyyedi, F Prade, F Pfeiffer, T Lasser Applied Physics Letters 109 (13), 2016 | 19 | 2016 |
Low-dose CT perfusion of the liver using reconstruction of difference S Seyyedi, E Liapi, T Lasser, R Ivkov, R Hatwar, JW Stayman IEEE transactions on radiation and plasma medical sciences 2 (3), 205-214, 2018 | 11 | 2018 |
An Object‐Oriented Simulator for 3D Digital Breast Tomosynthesis Imaging System S Seyyedi, K Cengiz, M Kamasak, I Yildirim Computational and mathematical methods in medicine 2013 (1), 250689, 2013 | 11 | 2013 |
SCREENet: A multi-view deep convolutional neural network for classification of high-resolution synthetic mammographic screening scans S Seyyedi, MJ Wong, DM Ikeda, CP Langlotz arXiv preprint arXiv:2009.08563, 2020 | 10 | 2020 |
Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines. npj Digit. Med. 3, 136 (2020) SC Huang, A Pareek, S Seyyedi, I Banerjee, MP Lungren | 8 | |
Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines, NPJ Digital Med. 3 (1)(2020) SC Huang, A Pareek, S Seyyedi, I Banerjee, MP Lungren Google Scholar Google Scholar Cross Ref Cross Ref, 0 | 7 | |
3D digital breast tomosynthesis image reconstruction using anisotropic total variation minimization S Seyyedi, I Yildirim 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 6 | 2014 |
Incorporating a noise reduction technique into X-ray tensor tomography S Seyyedi, M Wieczorek, F Pfeiffer, T Lasser IEEE Transactions on Computational Imaging 4 (1), 137-146, 2018 | 5 | 2018 |
MP Lungren Fusion of medical imaging and electronic health records using deep learning: A systematic review and implementation guidelines., 2020, 3 SC Huang, A Pareek, S Seyyedi, I Banerjee DOI: https://doi. org/10.1038/s41746-020-00341-z, 136, 0 | 5 | |
Evaluation of Low-Dose CT Perfusion for the Liver using Reconstruction of Difference S Seyyedi, E Liapi, T Lasser, R Ivkov, R Hatwar, JW Stayman Proceedings of the 14th International Meeting on Fully Three-Dimensional …, 2017 | 3 | 2017 |
Component-based TV regularization for X-ray tensor tomography S Seyyedi, M Wieczorek, Y Sharma, F Schaff, C Jud, F Pfeiffer, T Lasser 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 581-584, 2016 | 3 | 2016 |
Machine learning and deep learning approaches for classification of sub-cm lung nodules in CT scans R Abraham, I Janzen, S Seyyedi, S Khattra, J Mayo, R Yuan, R Myers, ... Medical Imaging 2020: Computer-Aided Diagnosis 11314, 113141G, 2020 | 2 | 2020 |
Analysis of multi field of view Cnn and attention Cnn on H&E stained whole-slide images on hepatocellular carcinoma MB Sayıcı, R Yamashita, J Shen arXiv preprint arXiv:2002.04836, 2020 | 2 | 2020 |
Advanced Reconstruction and Noise Reduction Techniques in Four-and Six-Dimensional X-ray Imaging Modalities S Seyyedi Technical University of Munich, 2018 | 2 | 2018 |
Fusion of medical imaging and electronic health records using deep learning: A systematic review and implementation guidelines. npj Digital Med. 3, 136 (2020) H Shih Cheng, P Anuj, S Saeed, B Imon, PL Matthew IEEEXplore Remove:• irrelevant topics, 0 | 2 | |
OA06. 01 Comparison Between Radiomics-Based Machine Learning and Deep Learning Image Classification for Sub-Cm Lung Nodules I Janzen, S Seyyedi, R Abraham, S Atkar-Khattra, J Mayo, R Yuan, ... Journal of Thoracic Oncology 14 (10), S219-S220, 2019 | 1 | 2019 |