Multimodal deep learning with anatomically constrained attention for screening MRI-detectable TMJ abnormalities from panoramic images - Top-Institutions - MDSpire

Multimodal deep learning with anatomically constrained attention for screening MRI-detectable TMJ abnormalities from panoramic images

  • By

  • Hyo-Jung Jung

  • Dayun Ju

  • Chanyoung Kim

  • Seong Jae Hwang

  • Chena Lee

  • Younjung Park

  • January 23, 2026

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Oral and Maxillofacial Radiology
    • Biomedical Imaging
    • Artificial Intelligence in Medicine

  • #2

    Massachusetts General Hospital (MGH), Harvard Medical School
    Massachusetts General Hospital (MGH), Harvard Medical School

    Boston, MA

    Key Differentiators

    • Radiology
    • Oral and Maxillofacial Surgery
    • Biomedical Informatics

  • #3

    University of California, Los Angeles (UCLA) School of Dentistry
    University of California, Los Angeles (UCLA) School of Dentistry

    Los Angeles, CA

    Key Differentiators

    • Oral and Maxillofacial Radiology
    • Dentistry
    • Medical Imaging AI

  • #4

    Seoul National University Dental Hospital
    Seoul National University Dental Hospital

    Seoul, Seoul

    Key Differentiators

    • Oral and Maxillofacial Radiology
    • Dental Medicine
    • Medical AI Research

  • #5

    University of Michigan School of Dentistry
    University of Michigan School of Dentistry

    Ann Arbor, MI

    Key Differentiators

    • Oral and Maxillofacial Radiology
    • Dental Research
    • Biomedical Imaging

Original Source(s)

Multimodal deep learning with anatomically constrained attention for screening MRI-detectable TMJ abnormalities from panoramic images

  • by Hyo-Jung Jung, Dayun Ju, Chanyoung Kim, Seong Jae Hwang, Chena Lee, Younjung Park

  • January 23, 2026

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