Dr. Madiha Arshad

Designation                       Assistant Professor CE                                                    

Email ID(s)                         

ECH ext.                    

                                                      

Profile Summary

Dr. Madiha Arshad received her BEE and MS in Electrical Engineering from Air University (Islamabad Campus), and her PhD in Electrical Engineering from COMSATS University Islamabad, with a focus on Artificial Intelligence. Her academic career spans six years as a lab engineer at Air University and independent research and development within the Medical Image Processing Research Group (MIPRG) at COMSATS University Islamabad. Her research and teaching interests include machine learning, deep learning, and medical imaging.

Qualification
Sr. NoDegreeUniversityYear
1PhDCOMSATS University Islamabad2022
2MSAir University2013
3BEEAir University2010
4Any other

Teaching/Administrative Experience
Sr. NoDesignationUniversityYear
FromTo
1Assistant ProfessorNational University of Technology (NUTECH)8-2024Present
2Lab engineerAir University10-201002/10/2016

Professional Memberships
Sr. NoMembership TypeMembership Body
1Pakistan Engineering Council (PCB)
2European Society for Magnetic Resonance in Medicine and Biology (ESMRMB)
3European Society for Magnetic Resonance in Medicine and Biology (ESMRMB)
4Medical Image Processing Research Group (MIPRG), COMSATS University Islamabad, Pakistan

Honors and Awards
Sr. NoAwardYear
1HEC Indigenous 5000 fellowship program, phase II, batch–V at PhD level2018
2Silver medal at Graduation Level2012
3Dean’s Honor list for getting distinction at Graduation and M.S. Level

Research Areas/Interests
Sr. NoAreaDescription
1Medical Imaging
2Image Reconstruction Techniques
3Magnetic Resonance Imaging (MRI)
4Machine Learning and Deep Learning

Journal Publications
Sr. NoJournal NamePublication Title with I.FYear
1Magnetic Resonance ImagingArshad M, Qureshi M, Inam O, Omer H. "Transfer learning in deep neural network based under-sampled MR image reconstruction.". 2021 Feb 1;76:96-107. (Impact Factor=2.546)2021
2Magnetic Resonance Materials in Physics, Biology, and MedicineArshad M, Qureshi M, Inam O, Omer H. "Transfer learning in deep neural network-based receiver coil sensitivity map estimation." Magnetic Resonance Materials in Physics, Biology and Medicine. 2021 Oct;
34(5):717-28. (Impact Factor=2.533)		2021
3Journal of Digital ImagingAamir F, Aslam I, Arshad M, Omer H. "Accelerated Diffusion-Weighted MR Image Reconstruction using Deep Neural Networks." Journal of Digital Imaging. 2022 Nov 4:1-3. (Impact Factor=4.903)2022
4Applied Magnetic ResonanceAslam T, Najeeb F, Shahzad H, Arshad M, Omer H. "Motion Corrected DCE-MR Image Reconstruction using Deep Learning."Applied Magnetic Resonance. 2024 (Impact Factor=1)2024

Conference Publications
Sr. NoConference NamePublication TitleYear
1NVIDIA GTC ConferenceAtif M, Arshad M, Bilal Y, Inam O, Shahzad H, Omer H.Deep Learning-Based GRAPPA Operator Gridding for Non-Cartesian MR Image Reconstruction, NVIDIA GTC conference, San Jose Convention Center (Silicon valley), March. 18-21, 2024 2024
2Joint Annual Meeting and exhibition ISMRM & ISMRTAtif M, Arshad M, Bilal Y, Inam O, Shahzad H, Omer H, “GROG Gridding using Modified VGG-16 CNN model for Non-Cartesian MR Image Reconstruction.” Joint Annual Meeting and exhibition ISMRM & ISMRT, 03-08, Canada, June 20232023
3Joint Annual Meeting and exhibition ISMRM & ISMRTAtif M, Arshad M, Bilal Y, Inam O, Shahzad H, Omer H, “GROG Gridding using Modified VGG-16 CNN model for Non-Cartesian MR Image Reconstruction.” Joint Annual Meeting and exhibition ISMRM & ISMRT, 03-08, Canada, June 20232023
431st Joint Annual Meeting ISMRM-ESMRMB & SMRTArshad M, Qureshi M, Inam O, Omer H. “Deep Learning-Based Receiver Coil Sensitivity Map Estimation for SENSE Reconstruction using Transfer Learning.” 31st Joint Annual Meeting ISMRM-ESMRMB & SMRT, London, May. 07-12, 2022 2022
531st Joint Annual Meeting ISMRM-ESMRMB & SMRTArshad M, Qureshi M, Inam O, Omer H. “Super Resolution of MR Images with Deep Learning Based k-space Interpolation.” 31st Joint Annual Meeting ISMRM-ESMRMB & SMRT, London, May. 07-12, 2022 2022
631st Joint Annual Meeting ISMRM-ESMRMB & SMRTKhawaja R, Ammar A, Arshad M, Najeeb F, Omer H. “A Hybrid Dual Domain Deep Learning Framework for Cardiac MR Image Reconstruction.” 31st Joint Annual Meeting ISMRM-ESMRMB & SMRT, London, May. 07-12, 20222022
729th ISMRM Annual Scientific Meeting (virtual)Arshad M, Qureshi M, Inam O, Omer H. “PCA and U-Net based Channel Compression for Fast MR Image Reconstruction”. 29th ISMRM Annual Scientific Meeting (virtual), May. 15 – 20, 20212021
829th ISMRM Annual Scientific Meeting (virtual)Arshad M, Qureshi M, Inam O, Omer H. “A Deep k-means Based Tissue Extraction from Reconstructed Human Brain MR Image”. 29th ISMRM Annual Scientific Meeting (virtual), May. 15 – 20, 2021 2021
937th ESMRMB Annual Scientific MeetingArshad M, Qureshi M, Inam O, Omer H. “Channel Compression for Multiple Receiver Coil data in MRI” 37th ESMRMB Annual Scientific Meeting, Sep. 30 – Oct .02, 20202020
1028th ISMRM Annual Scientific MeetingArshad M, Qureshi M, Inam O, Omer H. “Deep Learning based Accelerated MR Image Reconstruction via Transfer Learning” 28th ISMRM Annual Scientific Meeting, Sydney, April. 18 – 23, 20202020
1136th Annual Meeting of ESMRMBArshad M, Qureshi M, Khattak I, Omer H. “Radial MR Image Reconstruction through Deep Learning” 36th Annual Meeting of ESMRMB, Oct 2019, Rotterdam/NL2019