Nasim Dadashi Serej

25 papers Journal 15Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robust fine-grained echocardiographic view classification with supervised contrastive learning. Medical Image Anal. Preshen Naidoo, Patricia Fernandes, Nasim Dadashi Serej, Catherine C. Stowell, Charlotte H. Manisty, Darrel P. Francis, Massoud Zolgharni
2025	—	`conf`	A Clinician-Centred Interface for AI-Powered Echocardiographic Image Quality Feedback. AIiH (2) Sara Adibzadeh, Patricia Fernandes, Mayur Agrawal, Nasim Dadashi Serej, Ali Gheitasy, Massoud Zolgharni
2025	J	`jnl`	Consensus-guided evaluation of self-supervised learning in echocardiographic segmentation. Comput. Biol. Medicine Preshen Naidoo, Patricia Fernandes, Nasim Dadashi Serej, Charlotte H. Manisty, Matthew J. Shun-Shin, Darrel P. Francis, Massoud Zolgharni
2025	—	`conf`	Deep Learning for Assessing Rotational Misalignment in Echocardiographic Imaging. AIiH (2) Patricia Fernandes, Preshen Naidoo, Isreal Ufumaka, Sara Adibzadeh, Eman Alajrami, Jevgeni Jevsikov, Nasim Dadashi Serej, James P. Howard, Matthew J. Shun-Shin, Charlotte Manisty, Darrel P. Francis, Massoud Zolgharni
2025	J	`jnl`	Enhanced Non-EEG Multimodal Seizure Detection: A Real-World Model for Identifying Generalised Seizures Across the Ictal State. IEEE J. Biomed. Health Informatics Jamie Pordoy, Graham Jones, Nasser Matoorian, M. Evans, Nasim Dadashi Serej, Massoud Zolgharni
2025	—	`conf`	Spatiotemporal Contrastive Learning for Echocardiography View Classification. AIiH (2) Preshen Naidoo, Patricia Fernandes, Isreal Ufumaka, Nasim Dadashi Serej, James P. Howard, Darrel P. Francis, Charlotte Manisty, Massoud Zolgharni
2024	J	`jnl`	Active learning for left ventricle segmentation in echocardiography. Comput. Methods Programs Biomed. 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
2024	J	`jnl`	Automated mitral inflow Doppler peak velocity measurement using deep learning. Comput. Biol. Medicine 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, Matthew J. Shun-Shin, Darrel P. Francis, Massoud Zolgharni
2024	—	`conf`	Generalized Polyp Detection from Colonoscopy Frames Using Proposed EDF-YOLO8 Network. CaPTion@MICCAI Alyaa Amer, Alaa Hussein, Noushin Ahmadvand, Sahar Magdy, Abas Abdi, Nasim Dadashi Serej, Noha Ghatwary, Neda Azarmehr
2023	—	`conf`	Automated Analysis of Mitral Inflow Doppler Using Deep Neural Networks. FIMH 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
2023	—	`conf`	Deep Active Learning for Left Ventricle Segmentation in Echocardiography. FIMH 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
2022	J	`jnl`	Automatic esophagus Z-line delineation in endoscopic images using a new boundary linking method. IET Image Process. Mehrnaz Aghanouri, Nasim Dadashi Serej, Hossein Rabbani, Peyman Adibi
2021	J	`jnl`	COVID-19 in Iran: Forecasting Pandemic Using Deep Learning. Comput. Math. Methods Medicine Rahele Kafieh, Roya Arian, Narges Saeedizadeh, Zahra Amini, Nasim Dadashi Serej, Shervin Minaee, Sunil Kumar Yadav, Atefeh Vaezi, Nima Rezaei, Shaghayegh Haghjooy Javanmard
2019	J	`jnl`	Image Based High-Level Control System Design for Steering and Controlling of an Active Capsule Endoscope. J. Intell. Robotic Syst. Mehrnaz Aghanouri, Ali Ghaffari, Nasim Dadashi Serej
2019	J	`jnl`	New image-guided method for localisation of an active capsule endoscope in the stomach. IET Image Process. Mehrnaz Aghanouri, Ali Ghaffari, Nasim Dadashi Serej, Hossein Rabbani, Peyman Adibi
2017	—	`conf`	Image-based localization of the active wireless capsule endoscope inside the stomach. BHI Mehrnaz Aghanouri, Ali Ghaffari, Nasim Dadashi Serej
2016	J	`jnl`	A robust keypoint extraction and matching algorithm based on wavelet transform and information theory for point-based registration in endoscopic sinus cavity data. Signal Image Video Process. Nasim Dadashi Serej, Alireza Ahmadian, Shohreh Kasaei, Seyed Musa Sadrehosseini, Parastoo Farnia
2015	J	`jnl`	A projected landmark method for reduction of registration error in image-guided surgery systems. Int. J. Comput. Assist. Radiol. Surg. Nasim Dadashi Serej, Alireza Ahmadian, Saeed Mohagheghi, Seyed Musa Sadrehosseini
2015	J	`jnl`	Brain-shift compensation by non-rigid registration of intra-operative ultrasound images with preoperative MR images based on residual complexity. Int. J. Comput. Assist. Radiol. Surg. Parastoo Farnia, Alireza Ahmadian, Touraj Shabanian, Nasim Dadashi Serej, Javad Alirezaie
2014	—	`conf`	A hybrid method for non-rigid registration of intra-operative ultrasound images with pre-operative MR images. EMBC Parastoo Farnia, Alireza Ahmadian, Touraj Shabanian, Nasim Dadashi Serej, Javad Alirezaie
2014	J	`jnl`	Minimization of target registration error for vertebra in image-guided spine surgery. Int. J. Comput. Assist. Radiol. Surg. Marzieh Ershad, Alireza Ahmadian, Nasim Dadashi Serej, Hooshang Saberi, Keyvan Amini Khoiy
2014	J	`jnl`	Two-stage point-based registration method between ultrasound and CT imaging of the liver based on ICP and unscented Kalman filter: a phantom study. Int. J. Comput. Assist. Radiol. Surg. F. Nazem, Alireza Ahmadian, Nasim Dadashi Serej, Masoomeh Giti
2013	J	`jnl`	An efficient method for estimating soft tissue deformation based on intraoperative stereo image features and point-based registration. Int. J. Imaging Syst. Technol. Alireza Ahmadian, Nasim Dadashi Serej, Saeed Karimifard, Parastoo Farnia
2011	—	`conf`	An efficient point based registration of intra-operative ultrasound images with MR images for computation of brain shift; A phantom study. EMBC Parastoo Farnia, Alireza Ahmadian, Alireza Khoshnevisan, AmirHossein Jaberzadeh, Nasim Dadashi Serej, Anahita Fathi Kazerooni
2011	—	`conf`	Segmentation of brain tumors in MRI images using multi-scale gradient vector flow. EMBC Anahita Fathi Kazerooni, Alireza Ahmadian, Nasim Dadashi Serej, Hamidreza Saligheh Rad, Hooshang Saberi, Hossein Yousefi, Parastoo Farnia