A GENERATIVE AI MODEL TO ENHANCE THE RESOLUTION OF STANDARD-OF-CARE SPINAL MRI

B. Peeters¹, S. Pieper², R. N. Alkalay³, L. Scheys¹

¹KU Leuven, Belgium; ²Isomics Incorporated, United States; ³Beth Israel Deaconess Medical Center, United States

AUTOMATED SEGMENTATION OF TRUNK MUSCULATURE WITH A DEEP CNN TRAINED FROM SPARSE ANNOTATIONS

V. Hong¹, S. Pieper², J. James³, D. Anderson³, C. Pinter⁴, Y. S. Chang⁵, B. Aslan⁵, D. Kozono⁶, P. Doyle⁶, S. Caplan⁶, H. Kang⁶, T. Balboni⁶, A. Spektor⁶, M. A. Huynh⁶, M. Keko⁷, R. Kikinis⁸, D. Hackney⁵, R. N. Alkalay³

¹Beth Israel Deaconess Medical Center, United States of America; ²School of Computation, Technical University Munich, Germany; ³Isomics Inc, MA, USA; ⁴Center for Advanced Orthopedic Studies, Beth Israel Deaconess Medical Center (BIDMC) Boston, MA, USA; ⁵EBATINCA, S.L, Las Palmas de Gran Canaria, Spain; ⁶Department of Radiology, Beth Israel Deaconess Medical Center (BIDMC) Boston, MA, USA; ⁷Department of Orthopedics, Beth Israel Deaconess Medical Center BIDMC, Boston, MA, US; ⁸Department of Radiology, Brigham and Women's Hospital, MA, USA

A NOVEL IMAGING PIPELINE FOR MORPHOLOGICAL DIFFERENTIATION OF OSTEOCYTE AND CHONDROCYTE LACUNAE USING UMAP CLUSTERING

A. Banerjee^1,2, P. Uniyal¹, K. S Stok², G. H. van Lenthe¹

¹Department of Mechanical Engineering, KU Leuven, Belgium; ²Department of Biomedical Engineering, The University of Melbourne, Australia

SOLVING FORWARD AND INVERSE PROBLEMS IN NONLINEAR PROSTATIC BIOMECHANICS: STIFFNESS ESTIMATION USING PINNS

M. Ferrón-Vivó, E. Nadal, J. M. Navarro-Jiménez, S. Gregori, M. J. Rupérez

I2MB, Universitat Politècnica de València, Spain

DEEP LEARNING BASED REDUCED ORDER MODELING OF BIOMECHANICAL SIMULATIONS OF HUMAN VERTEBRAE

Y. CAI^1,4, E. DALL'ARA^3,4, D. LACROIX^2,4, L. GUO^1,4

¹School of Electrical and Electronic Engineering, University of Sheffield, UK; ²School of Mechanical, Aerospace and Civil Engineering, University of Sheffield, UK; ³Division of Clinical Medicine, University of Sheffield, UK; ⁴Insigneo Institute, University of Sheffield, UK

SYNTHETIC CT IMAGES FROM BI-PLANAR X-RAY: A GENERATIVE MODEL TO STUDY KNEE OSTEOARTHRITIS

R. Gu¹, S. Xie¹, W. Bai², A. Bull¹

¹Department of Bioengineering, Imperial College London, London W12 0BZ, United Kingdom; ²Department of Computing & Department of Brain Sciences, Imperial College London, London SW7 2AZ, United Kingdom

GENERATING SAGITTAL RADIOGRAPHS FROM CORONAL VIEWS BY DEEP LEARNING MODEL IN ADOLESCENT IDIOPATHIC SCOLIOSIS

T. Bassani¹, A. Cina^2,3, F. Galbusera², A. Cazzato¹, M. E. Pellegrino¹, D. Albano^1,4, L. M. Sconfienza^1,5

¹IRCCS Istituto Ortopedico Galeazzi, Milan, Italy; ²Department of Teaching, Research and Development, Schulthess Clinic, Zurich, Switzerland; ³Department of Health Sciences and Technology (D-HEST), ETH Zürich, Zurich, Switzerland; ⁴Department of Biomedical, Surgical, and Dental Sciences, University of Milan, Milan, Italy; ⁵Department of Biomedical Sciences for Health, University of Milan, Milan, Italy

A PINN NETWORK FOR PATIENT-SPECIFIC LEFT VENTRICULAR FINITE ELEMENT MODELING WITH IMAGE MOTION-CONSISTENCY

S. Mu, W. X. Chan, C. H. Yap

Imperial College London, United Kingdom