Abhinav Jha, PhD

Abhinav Jha, PhD

Primary Academic Title

Assistant Professor of Biomedical Engineering, Division of Radiological Sciences, Washington University School of Medicine

Research Interest

Design of computational medical imaging methods with applications in cancer diagnosis and therapy

Education

  • 2013: PhD, optical sciences, University of Arizona, Tucson

Selected Research Publications

Beyond Average: α-Particle Distribution and Dose Heterogeneity in Bone Metastatic Prostate Cancer.
  • Benabdallah N, Lu P, Abou DS, [...] Jha AK, [...] Thorek DLJ
  • J Nucl Med 2024
Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation.
  • Herington J, McCradden MD, Creel K, [...] Jha AK, [...] Saboury B
  • J Nucl Med 2023
Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance.
  • Herington J, McCradden MD, Creel K, [...] Jha AK, [...] Saboury B
  • J Nucl Med 2023
Artificial Intelligence Algorithms Need to Be Explainable-or Do They?
  • Bradshaw TJ, McCradden MD, Jha AK, [...] Rahmim A
  • J Nucl Med 2023
Need for objective task-based evaluation of AI-based segmentation methods for quantitative PET.
  • Liu Z, Mhlanga JC, Siegel BA, Jha AK
  • Proc SPIE Int Soc Opt Eng 2023
A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT.
  • Rahman MA, Yu Z, Siegel BA, Jha AK
  • Proc SPIE Int Soc Opt Eng 2023
A Projection-Domain Low-Count Quantitative SPECT Method for α-Particle-Emitting Radiopharmaceutical Therapy.
  • Li Z, Benabdallah N, Abou DS, [...] Jha AK
  • IEEE Trans Radiat Plasma Med Sci 2023
Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development.
  • Bradshaw TJ, Boellaard R, Dutta J, Jha AK, [...] Buvat I
  • J Nucl Med 2022
Ideal-Observer Computation with anthropomorphic phantoms using Markov chain Monte Carlo.
  • Rahman MA, Yu Z, Jha AK
  • Proc IEEE Int Symp Biomed Imaging 2022