| Revealing the complex genetic architecture of obsessive-compulsive disorder using meta-analysis D Posthuma Molecular psychiatry 23 (5), 1181-1188, 2018 | 340 | 2018 |
| Examination of the shared genetic basis of anorexia nervosa and obsessive–compulsive disorder Z Yilmaz, M Halvorsen, J Bryois, D Yu, LM Thornton, S Zerwas, N Micali, ... Molecular psychiatry 25 (9), 2036-2046, 2020 | 96 | 2020 |
| Sex-dependent shared and nonshared genetic architecture across mood and psychotic disorders GAM Blokland, J Grove, CY Chen, C Cotsapas, S Tobet, R Handa, ... Biological psychiatry 91 (1), 102-117, 2022 | 78 | 2022 |
| A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning AGRZS Melissa D McCradden, James A Anderson, Elizabeth A. Stephenson, Erik ... The American Journal of Bioethics,, 2022 | 55 | 2022 |
| Examining sex-differentiated genetic effects across neuropsychiatric and behavioral traits J Martin, EA Khramtsova, SB Goleva, GAM Blokland, M Traglia, ... Biological psychiatry 89 (12), 1127-1137, 2021 | 55 | 2021 |
| Brain-behavior participant similarity networks among youth and emerging adults with schizophrenia spectrum, autism spectrum, or bipolar disorder and matched controls L Stefanik, L Erdman, SH Ameis, G Foussias, BH Mulsant, T Behdinan, ... Neuropsychopharmacology 43 (5), 1180-1188, 2018 | 50 | 2018 |
| Characterizing neurocognitive late effects in childhood leukemia survivors using a combination of neuropsychological and cognitive neuroscience measures E Van Der Plas, L Erdman, BJ Nieman, R Weksberg, DT Butcher, ... Child Neuropsychology 24 (8), 999-1014, 2018 | 48 | 2018 |
| Modification of the association between early adversity and obsessive-compulsive disorder by polymorphisms in the MAOA, MAOB and COMT genes NW McGregor, SMJ Hemmings, L Erdman, I Calmarza-Font, DJ Stein, ... Psychiatry research 246, 527-532, 2016 | 41 | 2016 |
| Integration of brain and behavior measures for identification of data-driven groups cutting across children with ASD, ADHD, or OCD GR Jacobs, AN Voineskos, C Hawco, L Stefanik, NJ Forde, EW Dickie, ... Neuropsychopharmacology 46 (3), 643-653, 2021 | 39 | 2021 |
| Standardized reporting of machine learning applications in urology: the STREAM-URO framework JCC Kwong, LC McLoughlin, M Haider, MG Goldenberg, L Erdman, ... European Urology Focus 7 (4), 672-682, 2021 | 36 | 2021 |
| The Toronto postliver transplantation hepatocellular carcinoma recurrence calculator: a machine learning approach T Ivanics, W Nelson, MS Patel, MPAW Claasen, L Lau, A Gorgen, P Abreu, ... Liver transplantation 28 (4), 593-602, 2022 | 33 | 2022 |
| PPAR and GST polymorphisms may predict changes in intellectual functioning in medulloblastoma survivors A Oyefiade, L Erdman, A Goldenberg, D Malkin, E Bouffet, MD Taylor, ... Journal of neuro-oncology 142, 39-48, 2019 | 30 | 2019 |
| Integration of DNA methylation & health scores identifies subtypes in myalgic encephalomyelitis/chronic fatigue syndrome WC de Vega, L Erdman, SD Vernon, A Goldenberg, PO McGowan Epigenomics 10 (5), 539-557, 2018 | 30 | 2018 |
| Genome-wide association study of pediatric obsessive-compulsive traits: shared genetic risk between traits and disorder CL Burton, M Lemire, B Xiao, EC Corfield, L Erdman, J Bralten, ... Translational psychiatry 11 (1), 91, 2021 | 29 | 2021 |
| A pre-TACE radiomics model to predict HCC progression and recurrence in liver transplantation: a pilot study on a novel biomarker T Ivanics, E Salinas-Miranda, P Abreu, F Khalvati, K Namdar, X Dong, ... Transplantation 105 (11), 2435-2444, 2021 | 26 | 2021 |
| Posterior Urethral Valves Outcomes Prediction (PUVOP): a machine learning tool to predict clinically relevant outcomes in boys with posterior urethral valves JCC Kwong, A Khondker, JK Kim, M Chua, DT Keefe, J Dos Santos, ... Pediatric Nephrology, 1-8, 2021 | 25 | 2021 |
| A quantitative super-resolution imaging toolbox for diagnosis of motile ciliopathies Z Liu, QPH Nguyen, Q Guan, A Albulescu, L Erdman, Y Mahdaviyeh, ... Science translational medicine 12 (535), eaay0071, 2020 | 24 | 2020 |
| Dynamic risk profiling of HCC recurrence after curative intent liver resection T Ivanics, CF Murillo Perez, MPAW Claasen, MS Patel, G Morgenshtern, ... Hepatology 76 (5), 1291-1301, 2022 | 23 | 2022 |
| Reach out and read is feasible and effective for adolescent mothers: a pilot study MM Kumar, HR Cowan, L Erdman, M Kaufman, KM Hick Maternal and child health journal 20, 630-638, 2016 | 23 | 2016 |
| Single-cell mapper (scMappR): using scRNA-seq to infer the cell-type specificities of differentially expressed genes DJ Sokolowski, M Faykoo-Martinez, L Erdman, H Hou, C Chan, H Zhu, ... NAR genomics and bioinformatics 3 (1), lqab011, 2021 | 20 | 2021 |
Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of Torontoutoronto.ca의 이메일 확인됨
