About

Feliks Kogan is an Assistant Professor (Research) of Radiology specializing in Musculoskeletal Imaging at Stanford University. He is affiliated with the Center for Artificial Intelligence in Medicine & Imaging (AIMI), where his work focuses on integrating artificial intelligence techniques into medical imaging to improve diagnostic accuracy and patient outcomes. His research involves developing innovative AI-driven solutions for healthcare applications, contributing to the advancement of medical imaging technologies. As part of the AIMI community, he collaborates on projects aimed at leveraging data sharing, machine learning, and imaging analysis to enhance clinical practices and medical research.

Research topics

• Radiology
• Medicine
• Nuclear medicine
• Pathology
• Anatomy
• Internal medicine
• Chemistry
• Biomedical engineering
• Biology

Selected publications

• INTEGRATED [18F]NAF PET-MRI REVEALS METABOLIC AND MICROSTRUCTURAL ABNORMALITIES IN SUBCHONDRAL BONE, CARTILAGE, AND MENISCUS IN KNEE OSTEOARTHRITIS

  Osteoarthritis and Cartilage · 2026-04-01

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• Varus Alignment and BMI Jointly Accelerate Medial Femoral Cartilage Thinning: Data from the Osteoarthritis Initiative

  Osteoarthritis and Cartilage · 2026-04-01

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• Advances in cartilage imaging techniques

  Nature Reviews Rheumatology · 2026-02-03 · 2 citations

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• Tension‐Dependent Variability and Repeatability of Achilles Tendon UTE‐T ₂ * Mapping Using Mono‐ and Bi‐Exponential Models

  NMR in Biomedicine · 2026-05-09

  articleSenior author

  ABSTRACT Quantitative MRI using ultrashort echo time (UTE)‐T 2 * mapping is sensitive to collagen‐bound water and tendon microstructure, enabling noninvasive assessment of tendon integrity and laxity. However, the extent to which UTE‐T 2 * measures reflect changes in tendon tension, and their repeatability, remain incompletely understood. We evaluated the sensitivity of mono‐ and bi‐exponential UTE‐T 2 * measures of the Achilles tendon to changes in tendon tension induced by ankle positioning and assessed the test–retest repeatability of these metrics across repeated scan sessions. In this study, healthy adult volunteers underwent UTE‐MRI of the Achilles tendon at two scan sessions, spaced 1 week apart, with the ankle positioned in dorsiflexion (higher tendon tension) and plantarflexion (lower tendon tension). Mono‐exponential T 2 * (T 2 * mono ) and bi‐exponential parameters (T 2 * short , T 2 * long , and short‐component fraction ρ short ) were quantified. We performed a two‐way repeated‐measures ANOVA to assess the main effects of ankle position and scan session, and their interaction. Repeatability was evaluated using root mean square error (RMSE), coefficient of variation (CV%), and Bland–Altman analysis. We observed that short‐component T 2 * metrics demonstrated significant sensitivity to tendon tension. A main effect of ankle position was observed for T 2 * mono ( p < 0.001) and T 2 * short ( p = 0.02), with lower values in dorsiflexion compared with plantarflexion. No significant effect of scan session or ankle position × scan session interactions were observed. T 2 * long and ρ short showed no significant dependence on position or scan session, suggesting that bulk hydration and relative water‐compartment contributions remained stable across loading conditions. Dorsiflexion demonstrated lower RMSE and CV% across metrics than plantar flexion, indicating improved repeatability under passive tendon tension. UTE‐T 2 * relaxometry of the Achilles tendon is repeatable and sensitive to changes in tendon tension. Short T 2 * measures may provide quantitative imaging markers related to tendon mechanical integrity and laxity, while highlighting the importance of standardized tendon tension for longitudinal quantitative tendon MRI.

  PublisherDOI

• SEX-SPECIFIC ALTERATIONS IN THIGH MUSCLE QUALITY IN INDIVIDUALS WITH KNEE OSTEOARTHRITIS

  Osteoarthritis and Cartilage · 2026-04-01

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• MULTITISSUE FAT PROFILES IN KNEE AGING AND OSTEOARTHRITIS: COMPOSITION, MORPHOLOGY, AND TEXTURE ACROSS HOFFA’S, BONE MARROW, INTRAMUSCULAR, AND SUBCUTANEOUS FAT

  Osteoarthritis and Cartilage · 2026-04-01

  articleSenior author
  PublisherDOI

• Muscle Symmetry in the UK Biobank: Poster Abstract

  2026-01-01

  articleOpen access
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• NEURAL SHAPE MODEL-BASED SCORE OUTPERFORMS CONVENTIONAL MEASURES IN QUANTIFYING EARLY AND PROGRESSIVE JOINT REMODELING IN ANTERIOR CRUCIATE LIGAMENT RECONSTRUCTED KNEES

  Osteoarthritis and Cartilage · 2026-04-01

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• REVEALING SYSTEMIC MUSCLE ADAPTATIONS IN KNEE OSTEOARTHRITIS USING NORMATIVE MODELING OF THE UK BIOBANK

  Osteoarthritis and Cartilage · 2026-04-01

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• Repeatability of knee cartilage T1ρ and T2 mapping: A multi-site multi-vendor study by QMIC

  Osteoarthritis and Cartilage · 2026-04-01

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Recent grants

• Quantitative Assessment of Early Metabolic and Biochemical Changes in Osteoarthritis

  NIH · $184k · 2017–2019

• Imaging of Joint Response to Physiological Stress with Age, Sex and in Osteoarthritis

  NIH · $2.9M · 2022–2027

• Quantitative Assessment of Early Metabolic and Biochemical Changes in Osteoarthritis

  NIH · $730k · 2019–2023

• Imaging of Metabolic Bone Response due to Localized Mechanical Loading

  NIH · $631k · 2020–2024

• NIH Grant P41RR002305

  NIH · $8.8M · 2015

Frequent coauthors

• Garry E. Gold

  84 shared

• Valentina Mazzoli

  42 shared

• Akshay Chaudhari

  Stanford University

  38 shared

• Lauren E. Watkins

  34 shared

• Brian A. Hargreaves

  Stanford University

  29 shared

• Marco Barbieri

  Stanford University

  28 shared

• James Mackay

  22 shared

• Elka Rubin

  21 shared

Education

• Ph.D., Bioengineering

  University of Pennsylvania

  2013