1. A multi-institute automated segmentation evaluation on a standard dataset: Findings from the international workshop on osteoarthritis imaging segmentation challenge. Issue 1 (April 2020) Authors: Desai, A.; Caliva, F.; Iriondo, C.; Khosravan, N.; Mortazi, A.; Jambawalikar, S.; Torigian, D.; Ellermann, J.; Akcakaya, M.; Bagci, U.; Tibrewala, R.; Flament, I.; O'Brian, M.; Majumdar, S.; Perslev, M.; Pai, A.; Igel, C.; Dam, E.; Gaj, S.; Yang, M. Journal: Osteoarthritis and cartilage Issue: Volume 28:Issue 1(2020)supplement Page Start: S304 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. MULTI-INSTITUTIONAL LARGE-SCALE VALIDATION OF 8 METHODS FOR AUTOMATIC KNEE MRI SEGMENTATION FOR USE IN CLINICAL TRIALS. (April 2022) Authors: Dam, E.B.; Desai, A.; Deniz, C.; Rajamohan, H.; Regatte, R.; Iriondo, C.; Pedoia, V.; Majumdar, S.; Perslev, M.; Igel, C.; Pai, A.; Gaj, S.; Yang, M.; Nakamura, K.; Li, X.; Maqbool, H.; Irmakci, I.; Song, S-E.; Bagci, U.; Hargreaves, B. Journal: Osteoarthritis and cartilage Issue: Volume 30(2022)Supplement 1 Page Start: S291 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Validation of an open source, generic deep learning architecture for 3D MRI segmentation - with data from the OAI, PROOF, and CCBR. (April 2019) Authors: Perslev, M.; Pai, A.; Igel, C.; Runhaar, J.; Dam, E.B. Journal: Osteoarthritis and cartilage Issue: Volume 27(2019)Supplement 1 Page Start: S393 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗