Nasim Dadashi Serej is smiling, wearing a winter black jacket and black beanie.

Dr Nasim Dadashi Serej

Lecturer in Artificial Intelligence
School of Computing and Engineering
nasim.dadashiserej@uwl.ac.uk
Nasim is a lecturer at the School of Computing and Engineering, specialising in Artificial Intelligence (AI) applications in healthcare. Her research focuses on harnessing AI to address complex challenges in medical data analysis, working closely with clinicians and healthcare organisations to deliver impactful solutions. 
Her research interests include machine learning, deep learning, computer vision, 3D scene analysis and natural language processing. She also has a robust background in computing, encompassing stochastic search methods, combinatorial optimisation and medical image-guided interventions and surgeries.

Research

Focusing on image guided navigation, medical image, and video processing, dataset collection, and close collaboration with clinicians for developing skilful software in different applications.

  • Research and publications

    Patents

    • US Patent 61/612-335” Method and Apparatus for estimation of soft tissue deformation based on intraoperative stereo image features and point based registration”.
    • US Patent 61/691-129 “A Method and Apparatus for Reduction of Registration Error in Image Guided Surgery Systems.

    Peer-Reviewed Journal Articles

    • Aghanouri, M., Dadashi, N., Rabbani, H., Adibi, P.: Automatic esophagus Z-line delineation in endoscopic images using a new boundary linking method. IET Image Process. 16, 3842– 3853 (2022). https://doi.org/10.1049/ipr2.12598
    • R. Kafieh, R. Arian, N. Saeedizadeh, Z. Amini, N. D. Serej, S. Minaee, & S. Haghjooy Javanmard, "COVID-19 in Iran: Forecasting Pandemic Using Deep Learning". Computational and Mathematical Methods in Medicine, 2021. Awarded as the best article of the year
    • R. Kafieh, N. Saeedizadeh, R. Arian, Z. Amini, N. D. Serej, A. Vaezi, & S. H. Javanmard, "Isfahan and Covid-19: Deep Spatiotemporal Representation". Chaos, Solitons & Fractals, 141, 110339, 2020.
    • M. Aghanouri, A. Ghaffari, N. Dadashi Serej, "Image Based High-Level Control System Design for Steering and Controlling of an Active Capsule Endoscope". Journal of Intelligent and Robotic Systems: Theory and Applications, 2019.
    • M. Aghanouri, A. Ghaffari, N. Dadashi Serej, H. Rabbani, P. Adibi, " New Image-Guided Method for Localization of an Active Capsule Endoscope in the Stomach". IET Image Processing, 2019.
    • N. D. Serej, A. Ahmadian, S. Kasaei, S. M. SadreHoseini,“ Robust Key-point Extraction and Matching Algorithm based on Wavelet Transform and Information Theory for Point-Based Registration in Endoscopic Sinus Cavity Data”. Springer, Signal, Image & Video Processing, 2016.
    • P. Farnia, A. Ahmadian, T. Shabanian, N. D. Serej, J. Alirezaie, “Brain-shift compensation by non-rigid registration of intra-operative ultrasound images with preoperative MR images based on residual complexity”. International Journal of Computer Assisted Radiology and Surgery, accepted, 2015.
    • N. Dadashi, A. Ahmadian, S. Mohagheghi, S. M. SaderHose, “A Projected Landmark Method for Reduction of Registration Error in Image Guided Surgery Systems". International Journal of Computer Assisted Radiology and Surgery, JCARS, 2015.
    • P. Farnia, A. Ahmadian, N. Dadashi, “Performance Evaluation of the Modified Iterative Closest Point Methods for Intra-operative Ultrasound and pre-operative MR Image Registration of Brain ”. Journal of Frontiers in Biomedical Technologies, 2014.
    • F. Nazem, A. Ahmadian, N. DadashiSeraj, M. Giti, "Two-stage point-based registration method between ultrasound and CT imaging of the liver based on ICP and Unscented Kalman Filter: A phantom study". International Journal of Computer Assisted Radiology and Surgery, 2014.
    • M. Ershad, A. Ahmadian, N. Dadashi Seraj, H. Saberi, K. Amini Khoiy, " Minimization of target registration error for vertebra in image-guided spine surgery". International Journal of Computer Assisted Radiology and Surgery, 2014.
    • A. Ahmadian, N. dadashi, S. karimifard, P. farnia, "An Efficient Method for Estimation of Soft Tissue Deformation Based on Intra-Operative Stereo Image Features and Point-Based Registration". International journal of imaging systems and technology, Vol. 23, 294-303, 2013.
    • F. Nazem, A. Ahmadian, M. J. Abolhasani, N. DadashiSeraj, M. Giti, M. B. Shiran, "Registration of intra-operative Ultrasound to CT images using Two-stage point based registration algorithm for Correction of Deformation in liver phantom". Iranian Journal of Biomedical Engineering, 2012.

  • Conferences

    • H. Mohammadi, N. Riyahi Alam, N. Dadshi Serej, V. Changizi, "MRS Study of Sertraline Administration in Comparison with Cognitive Behavior Therapy in GAD Patients". Organization for Human Brain Mapping (OHBM), 2021.
    • M. Aghanouri, A. Ghaffari, N. Dadashi Serej, “Image-based localization of the active wireless capsule endoscope inside the stomach”. IEEE EMBS Biomedical & Health Informatics (BHI), 2017.
    • P. Farnia, A. Ahmadian, T. Shabanian, J. Alirezaie, N. D. Serej, “A hybrid method for Non-rigid registration of Intra-operative Ultrasound Images with pre-operative MR images”. IEEE EMBS Engineering in Medicine and Biology Society, 2014.
    • F. Nazem, A. Ahmadian, N. Dadashi Serj, P.Farniaa, M. Giti, "An efficient hybrid point based registration algorithm between intra-operative ultrasound images and preoperative CT images of liver: a phantom study". SPIE Medical Imaging, 2013.
    • M. Ershad Langroodi, A. Ahmadian, N. Dadashi Seraj, H. Saberi, K. Amini, "Effect of Landmark Configuration on Target Registration Error for Vertebra: a phantom study". SPIE, Medical Imaging, 2013.
    • M. Ershad, A. Ahmadian, N. Dadashi Seraj, H. Saberi, "Automatic landmark detection in spine surface CT images for registration of pre to intra-operative data". International Conference on Electronic Health (ICEH), 2012.
    • P. Farnia, A. Ahmadian, A. Khoshnevisan, A. Jaberzadeh, N. Dadashi Serej, A. F. Kazerooni,, "An efficient Point Based Registration of Intra-operative Ultrasound images with MR images for computation of brain shift; a Phantom Study". 33rd Annual International IEEE EMBS Conference, 2011.
    • A. Fathi Kazerooni, A. Ahmadian, N. Dadashi Serej, H. Saligheh Rad, H. Saberi, H. Yousefi, P. Farnia, "Segmentation of Brain Tumors in MRI Images Using Multi-scale Gradient Vector Flow". 33rd Annual International IEEE EMBS Conference, 2011.
    • R. Kafieh, S. Sadri, N. Dadashi,”Improving the results of Automatic landmark detection in cephalometry with extraction of bony structures”. 16th Iranian International Conference on Electrical Engineering, Tehran, Iran, 2008.

  • Research degree supervision

    Efficient Approaches for Creating a Biobank of Expert Annotations for Deep Learning Developments in Echocardiography. (Eman Alajrami)

    (Sara Adibzadeh)

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