| Big data analytics in healthcare A Belle, R Thiagarajan, SMR Soroushmehr, F Navidi, DA Beard, ... BioMed research international 2015 (1), 370194, 2015 | 862 | 2015 |
| Melanoma detection by analysis of clinical images using convolutional neural network E Nasr-Esfahani, S Samavi, N Karimi, SMR Soroushmehr, MH Jafari, ... 2016 38th annual international conference of the IEEE engineering in …, 2016 | 485 | 2016 |
| Machine learning approaches and databases for prediction of drug–target interaction: a survey paper M Bagherian, E Sabeti, K Wang, MA Sartor, Z Nikolovska-Coleska, ... Briefings in bioinformatics 22 (1), 247-269, 2021 | 468 | 2021 |
| Biomedical signal and image processing K Najarian, R Splinter Taylor & Francis, 2012 | 449 | 2012 |
| Method and apparatus for determining heart rate variability using wavelet transformation K Najarian, D Andre, K Ward, N Vyas, E Teller, JM Stivoric, J Farringdon, ... US Patent App. 13/140,165, 2012 | 427 | 2012 |
| ReDMark: Framework for residual diffusion watermarking based on deep networks M Ahmadi, A Norouzi, N Karimi, S Samavi, A Emami Expert Systems with Applications 146, 113157, 2020 | 325 | 2020 |
| Polyp segmentation in colonoscopy images using fully convolutional network M Akbari, M Mohrekesh, E Nasr-Esfahani, SMR Soroushmehr, N Karimi, ... 2018 40th annual international conference of the ieee engineering in …, 2018 | 296 | 2018 |
| Homomorphic encryption for machine learning in medicine and bioinformatics A Wood, K Najarian, D Kahrobaei ACM Computing Surveys (CSUR) 53 (4), 1-35, 2020 | 259 | 2020 |
| Skin lesion segmentation in clinical images using deep learning MH Jafari, N Karimi, E Nasr-Esfahani, S Samavi, SMR Soroushmehr, ... 2016 23rd International conference on pattern recognition (ICPR), 337-342, 2016 | 242 | 2016 |
| Deep learning in pharmacogenomics: from gene regulation to patient stratification AA Kalinin, GA Higgins, N Reamaroon, S Soroushmehr, A Allyn-Feuer, ... Pharmacogenomics 19 (7), 629-650, 2018 | 194 | 2018 |
| Fetal ultrasound image segmentation for measuring biometric parameters using multi-task deep learning Z Sobhaninia, S Rafiei, A Emami, N Karimi, K Najarian, S Samavi, ... 2019 41st annual international conference of the IEEE engineering in …, 2019 | 155 | 2019 |
| A review of automated methods for detection of myocardial ischemia and infarction using electrocardiogram and electronic health records S Ansari, N Farzaneh, M Duda, K Horan, HB Andersson, ZD Goldberger, ... IEEE reviews in biomedical engineering 10, 264-298, 2017 | 155 | 2017 |
| Osteoarthritis of the temporomandibular joint can be diagnosed earlier using biomarkers and machine learning J Bianchi, AC de Oliveira Ruellas, JR Gonçalves, B Paniagua, JC Prieto, ... Scientific reports 10 (1), 8012, 2020 | 134 | 2020 |
| Extraction of skin lesions from non-dermoscopic images for surgical excision of melanoma MH Jafari, E Nasr-Esfahani, N Karimi, SMR Soroushmehr, S Samavi, ... International journal of computer assisted radiology and surgery 12 (6 …, 2017 | 122 | 2017 |
| Fully automated endoscopic disease activity assessment in ulcerative colitis H Yao, K Najarian, J Gryak, S Bishu, MD Rice, AK Waljee, HJ Wilkins, ... Gastrointestinal Endoscopy 93 (3), 728-736. e1, 2021 | 121 | 2021 |
| Segmentation of vessels in angiograms using convolutional neural networks E Nasr-Esfahani, N Karimi, MH Jafari, SMR Soroushmehr, S Samavi, ... Biomedical Signal Processing and Control 40, 240-251, 2018 | 114 | 2018 |
| Private naive bayes classification of personal biomedical data: application in cancer data analysis A Wood, V Shpilrain, K Najarian, D Kahrobaei Computers in biology and medicine 105, 144-150, 2019 | 96 | 2019 |
| Maximizing strength of digital watermarks using neural networks KJ Davis, K Najarian IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001 | 95 | 2001 |
| Vessel extraction in X-ray angiograms using deep learning E Nasr-Esfahani, S Samavi, N Karimi, SMR Soroushmehr, K Ward, ... 2016 38th Annual international conference of the IEEE engineering in …, 2016 | 94 | 2016 |
| Accounting for label uncertainty in machine learning for detection of acute respiratory distress syndrome N Reamaroon, MW Sjoding, K Lin, TJ Iwashyna, K Najarian IEEE journal of biomedical and health informatics 23 (1), 407-415, 2018 | 93 | 2018 |
Reza SoroushmehrUniversity of MichiganVerified email at umich.edu
