| Cellular imaging predictions of clinical drug-induced liver injury JJ Xu, PV Henstock, MC Dunn, AR Smith, JR Chabot, D de Graaf Toxicological sciences 105 (1), 97-105, 2008 | 516 | 2008 |
| Automatic gradient threshold determination for edge detection PV Henstock, DM Chelberg IEEE transactions on image processing 5 (5), 784-787, 1996 | 89 | 1996 |
| Artificial intelligence for pharma: time for internal investment PV Henstock Trends in pharmacological sciences 40 (8), 543-546, 2019 | 62 | 2019 |
| Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data AM Smith, JR Walsh, J Long, CB Davis, P Henstock, MR Hodge, ... BMC bioinformatics 21, 1-18, 2020 | 61 | 2020 |
| Artificial intelligence in pharma: positive trends but more investment needed to drive a transformation P Henstock Archives of Pharmacology and Therapeutics 2 (2), 24-28, 2021 | 17 | 2021 |
| Toward an improved concept-based information retrieval system PV Henstock, DJ Pack, YS Lee, CJ Weinstein Proceedings of the 24th annual international ACM SIGIR conference on …, 2001 | 16 | 2001 |
| miRNA alterations modify kinase activation in the IGF-1 pathway and correlate with colorectal cancer stage and progression in patients DL Knowlton, K Tang, PV Henstock, RR Subramanian Journal of Cancer 2, 490, 2011 | 13 | 2011 |
| ERK activation by GM-CSF reduces effectiveness of p38 inhibitor on inhibiting TNFα release F Hua, PV Henstock, B Tang International immunopharmacology 10 (7), 730-737, 2010 | 9 | 2010 |
| Deep learning of representations for transcriptomics-based phenotype prediction AM Smith, JR Walsh, J Long, CB Davis, P Henstock, MR Hodge, ... BioRxiv, 574723, 2019 | 8 | 2019 |
| Aspects of computational mode and data distribution for parallel range image segmentation N Giolmas, DW Watson, DM Chelberg, PV Henstock, JH Yi, HJ Siegel Parallel Computing 25 (5), 499-523, 1999 | 7 | 1999 |
| Automatic gradient threshold determination for edge detection using a statistical model a description of the model and comparison of algorithms PV Henstock, DM Chelberg | 7 | 1996 |
| A visual analytics model applied to lead generation library design in drug discovery S Konecni, J Zhou, G Grinstein 2009 13th International Conference Information Visualisation, 345-352, 2009 | 5 | 2009 |
| Improved efficiency in computer-based language instruction M Cooks, P Henstock Proceedings. Calico 93, 8-13, 1993 | 2 | 1993 |
| Handling Japanese without a Japanese operating system K Hatasa, PV Henstock, TY Hsu CALICO Journal, 26-35, 1992 | 2 | 1992 |
| Computer-Based Language Tools for the Teaching of Language for a Special Purpose. M Cooks, P Henstock | 1 | 1993 |
| The Rise of Robotic Process Automation PV Henstock CIO Applications, 2020 | | 2020 |
| Assessment of Text Level Using Deep Learning Models PVH Jeff Winchell, Mariko Itoh Henstock, Pirinka Georgiev Japanese Language Teachers of America New England (JLTANE), 2019 | | 2019 |
| CATO: The Clone Alignment Tool PV Henstock, P LaPan Plos one 11 (7), e0159586, 2016 | | 2016 |
| Probabilistic feature extraction for object recognition PV Henstock Purdue University, 1996 | | 1996 |
