| Use of computer assisted sperm analysis (CASA) for monitoring the effects of pollution on sperm quality of fish; application to the effects of heavy metals DE Kime, M Ebrahimi, K Nysten, I Roelants, E Rurangwa, HDM Moore, ... Aquatic toxicology 36 (3-4), 223-237, 1996 | 284 | 1996 |
| The minimum effective spermatozoa : egg ratio for artificial insemination and the effects of mercury on sperm motility and fertilization ability in Clarias gariepinus E Rurangwa, I Roelants, G Huyskens, M Ebrahimi, DE Kime, F Ollevier Journal of Fish Biology 53 (2), 402-413, 1998 | 172 | 1998 |
| The effects of heavy metals exposure on reproductive systems of cyprinid fish from Kor River M Ebrahimi, M Taherianfard | 163 | 2011 |
| Neonatal hypernatremia and dehydration in infants receiving inadequate breastfeeding H Boskabadi, G Maamouri, M Ebrahimi, M Ghayour-Mobarhan, ... Asia Pacific journal of clinical nutrition 19 (3), 301-307, 2010 | 150 | 2010 |
| Length–weight relationships of some freshwater fishes of Iran HR Esmaeili, M Ebrahimi Journal of Applied Ichthyology 22 (4), 328-329, 2006 | 142 | 2006 |
| Comprehensive analysis of machine learning models for prediction of sub-clinical mastitis: Deep Learning and Gradient-Boosted Trees outperform other models M Ebrahimi, M Mohammadi-Dehcheshmeh, E Ebrahimie, KR Petrovski Computers in biology and medicine 114, 103456, 2019 | 128 | 2019 |
| Integration of machine learning and meta-analysis identifies the transcriptomic bio-signature of mastitis disease in cattle S Sharifi, A Pakdel, M Ebrahimi, JM Reecy, S Fazeli Farsani, E Ebrahimie PLoS one 13 (2), e0191227, 2018 | 107 | 2018 |
| Determining the most important physiological and agronomic traits contributing to maize grain yield through machine learning algorithms: a new avenue in intelligent agriculture A Shekoofa, Y Emam, N Shekoufa, M Ebrahimi, E Ebrahimie PloS one 9 (5), e97288, 2014 | 84 | 2014 |
| Prediction of thermostability from amino acid attributes by combination of clustering with attribute weighting: a new vista in engineering enzymes M Ebrahimi, A Lakizadeh, P Agha-Golzadeh, E Ebrahimie, M Ebrahimi PloS one 6 (8), e23146, 2011 | 84 | 2011 |
| A large-scale study of indicators of sub-clinical mastitis in dairy cattle by attribute weighting analysis of milk composition features: highlighting the predictive power of … E Ebrahimie, F Ebrahimi, M Ebrahimi, S Tomlinson, KR Petrovski Journal of dairy research 85 (2), 193-200, 2018 | 75 | 2018 |
| The inhibitory effect of ginger extract on ovarian cancer cell line; application of systems biology R Pashaei-Asl, F Pashaei-Asl, PM Gharabaghi, K Khodadadi, M Ebrahimi, ... Advanced pharmaceutical bulletin 7 (2), 241, 2017 | 65 | 2017 |
| Concentration of four heavy metals (cadmium, lead, mercury, and arsenic) in organs of two cyprinid fish (Cyprinus carpio and Capoeta sp.) from the Kor River (Iran) M Ebrahimi, M Taherianfard Environmental monitoring and assessment 168, 575-585, 2010 | 64 | 2010 |
| Protein attributes contribute to halo-stability, bioinformatics approach E Ebrahimie, M Ebrahimi, NR Sarvestani, M Ebrahimi Saline Systems 7, 1-14, 2011 | 63 | 2011 |
| Neural network and SVM classifiers accurately predict lipid binding proteins, irrespective of sequence homology MR Bakhtiarizadeh, M Moradi-Shahrbabak, M Ebrahimi, E Ebrahimie Journal of Theoretical Biology 356, 213-222, 2014 | 59 | 2014 |
| Hierarchical pattern recognition in milking parameters predicts mastitis prevalence E Ebrahimie, F Ebrahimi, M Ebrahimi, S Tomlinson, KR Petrovski Computers and electronics in agriculture 147, 6-11, 2018 | 55 | 2018 |
| Study on small ruminant lungworms and associated risk factors in northeastern Iran H Borji, M Azizzadeh, M Ebrahimi, M Asadpour Asian Pacific journal of tropical medicine 5 (11), 853-856, 2012 | 53 | 2012 |
| Prediction of lung tumor types based on protein attributes by machine learning algorithms F Hosseinzadeh, AH KayvanJoo, M Ebrahimi, B Goliaei SpringerPlus 2, 1-14, 2013 | 51 | 2013 |
| A genome-wide transcriptome map of pistachio (Pistacia vera L.) provides novel insights into salinity-related genes and marker discovery M Moazzzam Jazi, SM Seyedi, E Ebrahimie, M Ebrahimi, G De Moro, ... BMC genomics 18, 1-21, 2017 | 50 | 2017 |
| Prediction of hepatitis C virus interferon/ribavirin therapy outcome based on viral nucleotide attributes using machine learning algorithms AH KayvanJoo, M Ebrahimi, G Haqshenas BMC research notes 7, 1-11, 2014 | 45 | 2014 |
| Classification of lung cancer tumors based on structural and physicochemical properties of proteins by bioinformatics models F Hosseinzadeh, M Ebrahimi, B Goliaei, N Shamabadi PloS one 7 (7), e40017, 2012 | 44 | 2012 |
Manijeh Mohammadi-DehcheshmehUniversity of AdelaideVerified email at adelaide.edu.au
