Honors & Awards

  • AAPM Expanding Horizons Travel Grant Award, American Association of Physicists in Medicine (2020)
  • AAAI 2020 Student Travel Scholarship, Association for the Advancement of Artificial Intelligence (2020)
  • DeepImaging 2019 Fellowship, LabEx Primes, INSA, Lyon (2019)
  • NVIDIA Best Paper Award, MICCAI Deep Learning in Medical Image Analysis (2018)
  • Graduate Division Fellowship, University of California, Los Angeles (2017-2019)
  • President Gold Medal, Rajshahi University of Engineering & Technology, Bangladesh (2012)

Professional Education

  • BS, Rajshahi University of Engineering & Technology, Computer Science & Engineering (2012)
  • MS, Delaware State University, Computer Science (2016)
  • PhD, University of California, Los Angeles, Computer Science (2020)

Stanford Advisors

Contact

  • Academic
    aimran@stanford.edu
    University - Scholar Department: Radiology Position: Postdoctoral Scholar

Additional Info

  • Mail Code: 5488

Links

All Publications

  • Multi-Adversarial Variational Autoencoder Nets for Simultaneous Image Generation and Classification Deep Learning Applications Imran, A., Terzopoulos, D. Springer Nature Singapore. 2021: 249–271

    View details for DOI https://doi.org/10.1007/978-981-15-6759-9_11

  • Fully-Automated Analysis of Scoliosis from Spinal X-Ray Images International Symposium on Computer-Based Medical Systems (CBMS) Imran, A., Huang, C., Tang, H., Fan, W., Cheung, K., To, M., Qian, Z., Terzopoulos, D. IEEE. 2020

    View details for DOI 10.1109/CBMS49503.2020.00029

  • Fast and automatic segmentation of pulmonary lobes from chest CT using a progressive dense V-network COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION Imran, A., Hatamizadeh, A., Ananth, S. P., Ding, X., Tajbakhsh, N., Terzopoulos, D. 2019

    View details for DOI 10.1080/21681163.2019.1672210

    View details for Web of Science ID 000497679900001

  • Multi-adversarial variational autoencoder networks International Conference On Machine Learning And Applications (ICMLA) Imran, A., Terzopoulos, D. IEEE. 2019: 777–782

    View details for DOI 10.1109/ICMLA.2019.00137

  • Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network Imran, A., Hatamizadeh, A., Ananth, S. P., Ding, X., Terzopoulos, D., Tajbakhsh, N., Stoyanov, D., Taylor, Z., Carneiro, G., SyedaMahmood, T. SPRINGER INTERNATIONAL PUBLISHING AG. 2018: 282–90

    View details for DOI 10.1007/978-3-030-00889-5_32

    View details for Web of Science ID 000477761800032

  • Characterization of adipose compartments in mastectomy CT images Imran, A., Bakic, P. R., Pokrajac, D. D., Lo, J. Y., Schmidt, T. G., Chen, G. H. SPIE-INT SOC OPTICAL ENGINEERING. 2018

    View details for DOI 10.1117/12.2293706

    View details for Web of Science ID 000436173700177

  • Optimization of the simulation parameters for improving realism in anthropomorphic breast phantoms Imran, A., Bakic, P. R., Maidment, A. A., Pokrajac, D. D., Flohr, T. G., Lo, J. Y., Schmidt, T. G. SPIE-INT SOC OPTICAL ENGINEERING. 2017

    View details for DOI 10.1117/12.2253903

    View details for Web of Science ID 000405562100178

  • Validation of Cooper's Ligament Thickness in Software Breast Phantoms Kuperavage, A. J., Imran, A., Bakic, P. R., Maidment, A., Pokrajac, D. D., Flohr, T. G., Lo, J. Y., Schmidt, T. G. SPIE-INT SOC OPTICAL ENGINEERING. 2017

    View details for DOI 10.1117/12.2254551

    View details for Web of Science ID 000405562100182

  • Estimation of adipose compartment volumes in CT images of a mastectomy specimen Imran, A., Pokrajac, D. D., Maidment, A. A., Bakic, P. R., Kontos, D., Flohr, T. G., Lo, J. Y. SPIE-INT SOC OPTICAL ENGINEERING. 2016

    View details for DOI 10.1117/12.2217175

    View details for Web of Science ID 000378352900090

  • Spatial Distribution of Adipose Compartments Size, Shape and Orientation in a CT Breast Image of a Mastectomy Specimen Imran, A., Bakic, P. R., Pokrajac, D. D., IEEE IEEE. 2015

    View details for Web of Science ID 000380570400024