An efficient point based registration of intra-operative ultrasound images with MR images for computation of brain shift; A phantom study. - Parastoo Farnia; Alireza Ahmadian; Alireza Khoshnevisan; AmirHossein Jaberzadeh; Nasim Dadashi Serej; Anahita Fathi Kazerooni (EMBC, 2011)

Segmentation of brain tumors in MRI images using multi-scale gradient vector flow. - Anahita Fathi Kazerooni; Alireza Ahmadian; Nasim Dadashi Serej; Hamidreza Saligheh Rad; Hooshang Saberi; Hossein Yousefi; Parastoo Farnia (EMBC, 2011)

An efficient method for estimating soft tissue deformation based on intraoperative stereo image features and point-based registration. - Alireza Ahmadian; Nasim Dadashi Serej; Saeed Karimifard; Parastoo Farnia (Int. J. Imaging Syst. Technol., 2013)

A hybrid method for non-rigid registration of intra-operative ultrasound images with pre-operative MR images. - Parastoo Farnia; Alireza Ahmadian; Touraj Shabanian; Nasim Dadashi Serej; Javad Alirezaie (EMBC, 2014)

Minimization of target registration error for vertebra in image-guided spine surgery. - Marzieh Ershad; Alireza Ahmadian; Nasim Dadashi Serej; Hooshang Saberi; Keyvan Amini Khoiy (Int. J. Comput. Assist. Radiol. Surg., 2014)

Two-stage point-based registration method between ultrasound and CT imaging of the liver based on ICP and unscented Kalman filter: a phantom study. - F. Nazem; Alireza Ahmadian; Nasim Dadashi Serej; Masoomeh Giti (Int. J. Comput. Assist. Radiol. Surg., 2014)

Brain-shift compensation by non-rigid registration of intra-operative ultrasound images with preoperative MR images based on residual complexity. - Parastoo Farnia; Alireza Ahmadian; Touraj Shabanian; Nasim Dadashi Serej; Javad Alirezaie (Int. J. Comput. Assist. Radiol. Surg., 2015)

A projected landmark method for reduction of registration error in image-guided surgery systems. - Nasim Dadashi Serej; Alireza Ahmadian; Saeed Mohagheghi; Seyed Musa Sadrehosseini (Int. J. Comput. Assist. Radiol. Surg., 2015)

A robust keypoint extraction and matching algorithm based on wavelet transform and information theory for point-based registration in endoscopic sinus cavity data. - Nasim Dadashi Serej; Alireza Ahmadian; Shohreh Kasaei; Seyed Musa Sadrehosseini; Parastoo Farnia (Signal Image Video Process., 2016)

Image-based localization of the active wireless capsule endoscope inside the stomach. - Mehrnaz Aghanouri; Ali Ghaffari; Nasim Dadashi Serej (BHI, 2017)

New image-guided method for localisation of an active capsule endoscope in the stomach. - Mehrnaz Aghanouri; Ali Ghaffari; Nasim Dadashi Serej; Hossein Rabbani; Peyman Adibi (IET Image Process., 2019)

Image Based High-Level Control System Design for Steering and Controlling of an Active Capsule Endoscope. - Mehrnaz Aghanouri; Ali Ghaffari; Nasim Dadashi Serej (J. Intell. Robotic Syst., 2019)

COVID-19 in Iran: Forecasting Pandemic Using Deep Learning. - Rahele Kafieh; Roya Arian; Narges Saeedizadeh; Zahra Amini; Nasim Dadashi Serej; Shervin Minaee; Sunil Kumar Yadav; Atefeh Vaezi; Nima Rezaei; Shaghayegh Haghjooy Javanmard (Comput. Math. Methods Medicine, 2021)

Automatic esophagus Z-line delineation in endoscopic images using a new boundary linking method. - Mehrnaz Aghanouri; Nasim Dadashi Serej; Hossein Rabbani; Peyman Adibi (IET Image Process., 2022)

Deep Active Learning for Left Ventricle Segmentation in Echocardiography. - Eman Alajrami; Preshen Naidoo; Jevgeni Jevsikov; Elisabeth S. Lane; Jamie Pordoy; Nasim Dadashi Serej; Neda Azarmehr; Fateme Dinmohammadi; Matthew J. Shun-Shin; Darrel P. Francis; Massoud Zolgharni (FIMH, 2023)

Automated Analysis of Mitral Inflow Doppler Using Deep Neural Networks. - Jevgeni Jevsikov; Elisabeth S. Lane; Eman Alajrami; Preshen Naidoo; Nasim Dadashi Serej; Neda Azarmehr; Sama Aleshaiker; Catherine C. Stowell; Matthew J. Shun-Shin; Darrel P. Francis; Massoud Zolgharni (FIMH, 2023)

Generalized Polyp Detection from Colonoscopy Frames Using Proposed EDF-YOLO8 Network. - Alyaa Amer; Alaa Hussein; Noushin Ahmadvand; Sahar Magdy; Abas Abdi; Nasim Dadashi Serej; Noha Ghatwary; Neda Azarmehr (CaPTion@MICCAI, 2024)

Automated mitral inflow Doppler peak velocity measurement using deep learning. - Jevgeni Jevsikov; Tiffany Ng; Elisabeth S. Lane; Eman Alajrami; Preshen Naidoo; Patricia Fernandes; Joban S. Sehmi; Maysaa Alzetani; Camelia D. Demetrescu; Neda Azarmehr; Nasim Dadashi Serej; Catherine C. Stowell; et al. (Comput. Biol. Medicine, 2024)

Active learning for left ventricle segmentation in echocardiography. - Eman Alajrami; Tiffany Ng; Jevgeni Jevsikov; Preshen Naidoo; Patricia Fernandes; Neda Azarmehr; Fateme Dinmohammadi; Matthew J. Shun-Shin; Nasim Dadashi Serej; Darrel P. Francis; Massoud Zolgharni (Comput. Methods Programs Biomed., 2024)

A Clinician-Centred Interface for AI-Powered Echocardiographic Image Quality Feedback. - Sara Adibzadeh; Patricia Fernandes; Mayur Agrawal; Nasim Dadashi Serej; Ali Gheitasy; Massoud Zolgharni (AIiH (2), 2025)

Deep Learning for Assessing Rotational Misalignment in Echocardiographic Imaging. - Patricia Fernandes; Preshen Naidoo; Isreal Ufumaka; Sara Adibzadeh; Eman Alajrami; Jevgeni Jevsikov; Nasim Dadashi Serej; James P. Howard 001; Matthew J. Shun-Shin; Charlotte Manisty; Darrel P. Francis; Massoud Zolgharni (AIiH (2), 2025)

Spatiotemporal Contrastive Learning for Echocardiography View Classification. - Preshen Naidoo; Patricia Fernandes; Isreal Ufumaka; Nasim Dadashi Serej; James P. Howard 001; Darrel P. Francis; Charlotte Manisty; Massoud Zolgharni (AIiH (2), 2025)

Enhanced Non-EEG Multimodal Seizure Detection: A Real-World Model for Identifying Generalised Seizures Across the Ictal State. - Jamie Pordoy; Graham Jones; Nasser Matoorian; M. Evans; Nasim Dadashi Serej; Massoud Zolgharni (IEEE J. Biomed. Health Informatics, 2025)