Rate My Professor Nerissa Stander

Stander's research specializes in veterinary diagnostic imaging, with a focus on computed tomography applications in canine conditions such as thoracic trauma, adrenal gland volume estimation, vascular malformations, esophageal nodules, and spirocercosis-induced lesions. She has special interests in thoracic imaging, echocardiography, gastrointestinal ultrasonography, MRI, and radiographs. An avid educator, she enjoys teaching veterinary students and has presented extensively in continuing veterinary education courses and guest lectures. Her scholarly contributions include 16 publications with 179 citations, such as "Congenital isolated left ventricular noncompaction in two juvenile dogs" (2024, with Doris Ma and Manreet Singh), "Distal radial osteochondroma causing expansile lysis and ulna fracture in a dog" (2024, with A.R. Nesbitt et al.), "Pilot study: external validation of commercial veterinary radiology artificial intelligence software" (2026 preprint, with D. Ma et al.), "Algorithmic estimation of adrenal volume based on body weight and CT landmarks in dogs" (2022, with R. Swepson et al.), and "Computed tomographic, ultrasonographic, MRI and radiographic findings of a venous malformation with phleboliths in the thoracic limb of a dog" (2022, with K. Kang et al.). Additionally, she has co-authored and authored book chapters in the BSAVA Manuals of Canine and Feline Abdominal and Musculoskeletal Imaging, including "Long bones – juvenile" (2016).