Machine learning for syndromic surveillance using veterinary necropsy reports N Bollig, L Clarke, E Elsmo, M Craven PloS one 15 (2), e0228105, 2020 | 31 | 2020 |
JAK1/2 inhibitors AZD1480 and CYT387 inhibit canine B‐cell lymphoma growth by increasing apoptosis and disrupting cell proliferation Z Lu, CC Hong, PC Jark, A Assumpção, N Bollig, G Kong, X Pan Journal of veterinary internal medicine 31 (6), 1804-1815, 2017 | 22 | 2017 |
Hot topic: Detecting digital dermatitis with computer vision P Cernek, N Bollig, K Anklam, D Döpfer Journal of dairy science 103 (10), 9110-9115, 2020 | 20 | 2020 |
Bayesian and machine learning models for genomic prediction of anterior cruciate ligament rupture in the canine model LA Baker, M Momen, K Chan, N Bollig, FB Lopes, GJM Rosa, ... G3: Genes, genomes, genetics 10 (8), 2619-2628, 2020 | 18 | 2020 |
Comparison of community practitioner and clinical educator expectations of veterinary graduates A Nichelason, N Bollig, T Bach, M Harris, P Schmidt Journal of Veterinary Medical Education 50 (5), 582-589, 2023 | 2 | 2023 |
Detecting digital dermatitis with computer vision. P Cernek, N Bollig, K Anklam, D Döpfer | 1 | 2020 |
Freshwater Mussel Viromes Increase Rapidly in Diversity and Abundance when Hosts Are Released from Captivity into the Wild JC Richard, TW Lane, RE Agbalog, SL Colletti, TC Leach, CD Dunn, ... Animals 14 (17), 2531, 2024 | | 2024 |
Clinical Year Veterinary Students’ Expectations of New Graduate Independence Exceed Their Self-Perceived Competence and Expectations of Community Practitioners A Nichelason, N Bollig, M Anderson, P Schmidt Journal of Veterinary Medical Education, e20230041, 2023 | | 2023 |
A Machine Learning Tutorial for Veterinarians: Examples Using Canine Atopic Dermatitis N Bollig, D DeBoer, D Döpfer | | |
Transfer learning: leveraging human data to build smarter veterinary AI N Bollig, A Nichelason | | |