180 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shiraz UniversityIR6 papers
- Mashhad University of Medical SciencesIR2 papers
- Shahid Beheshti University of Medical SciencesIR2 papers
- Shiraz University of TechnologyIR2 papers
- Cedars-Sinai Medical CenterUS1 paper
- Child Health and Development InstituteUS1 paper
- Edinburgh Napier UniversityGB1 paper
- Ferdowsi University of MashhadIR1 paper
- Icahn School of Medicine at Mount SinaiUS1 paper
- Imam Hossein HospitalIR1 paper
- Indiana University – Purdue University IndianapolisUS1 paper
- Iranshahr UniversityIR1 paper
20 papers
Decision Support System to triage of liver trauma
Ali Jamali, Azadeh Nazemi, Ashkan Sami +3
Trauma significantly impacts global health, accounting for over 5 million deaths annually, which is comparable to mortality rates from diseases such as tuberculosis, AIDS, and mala…
Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data
Mohammadreza Ghaffarzadeh-Esfahani, Mahdi Ghaffarzadeh-Esfahani, Arian Salahi-Niri +39
This study compared the performance of classical feature-based machine learning models (CMLs) and large language models (LLMs) in predicting COVID-19 mortality using high-dimension…
Towards Efficient Patient Recruitment for Clinical Trials: Application of a Prompt-Based Learning Model
Mojdeh Rahmanian, Seyed Mostafa Fakhrahmad, Seyedeh Zahra Mousavi
Objective: Clinical trials are essential for advancing pharmaceutical interventions, but they face a bottleneck in selecting eligible participants. Although leveraging electronic h…
Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique
Seyed Ali Reza Moezzi, Abdolrahman Ghaedi, Mojdeh Rahmanian +2
Since radiology reports needed for clinical practice and research are written and stored in free-text narrations, extraction of relative information for further analysis is difficu…
Medical image registration using unsupervised deep neural network: A scoping literature review
Samaneh Abbasi, Meysam Tavakoli, Hamid Reza Boveiri +5
In medicine, image registration is vital in image-guided interventions and other clinical applications. However, it is a difficult subject to be addressed which by the advent of ma…
The CNAO Dose Delivery System for modulated scanning ion beam radiotherapy
Simona Giordanengo, Maria Adelaide Garella, Flavio Marchetto +9
This paper describes the dose delivery system used at the Centro Nazionale di Adroterapia Oncologica (CNAO) for ion beam modulated scanning radiotherapy. CNAO Foundation, INFN and…
PathoNet: Deep learning assisted evaluation of Ki-67 and tumor infiltrating lymphocytes (TILs) as prognostic factors in breast cancer; A large dataset and baseline
Farzin Negahbani, Rasool Sabzi, Bita Pakniyat Jahromi +5
The nuclear protein Ki-67 and Tumor infiltrating lymphocytes (TILs) have been introduced as prognostic factors in predicting tumor progression and its treatment response. The value…
Blockchain applications in Healthcare: A model for research
Amir Hussain Zolfaghari, Herbert Daly, Mahdi Nasiri +1
Blockchain technology has rapidly evolved from an enabling technology for cryptocurrencies to a potential solution to a wider range of problems found in data-centric and distribute…
The Efficacy of Microaneurysms Detection With and Without Vessel Segmentation in Color Retinal Images
Meysam Tavakoli, Mahdieh Nazar, Alireza Mehdizadeh
Computer-Aided Diagnosis systems are required to extract suitable information about retina and its changes. In particular, identifying objects of interest such as lesions and anato…
Medical Image Registration Using Deep Neural Networks: A Comprehensive Review
Hamid Reza Boveiri, Raouf Khayami, Reza Javidan +1
Image-guided interventions are saving the lives of a large number of patients where the image registration problem should indeed be considered as the most complex and complicated i…
Transcranial direct current stimulation to remediate myasthenia gravis symptoms
Ali-Mohammad Kamali, Mohammad Reza Hossein Tehrani, Seyedeh-Saeedeh Yahyavi +5
Our findings indicated that brain stimulation exerted no effect on the patients cognitive functions. The study outcome suggest that tDCS over primary motor cortex may be considered…
A complementary method for automated detection of microaneurysms in fluorescein angiography fundus images to assess diabetic retinopathy
Meysam Tavakoli, Reza Pourreza Shahri, Hamidreza Pourreza +3
Early detection of microaneurysms (MAs), the first sign of Diabetic Retinopathy (DR), is an essential first step in automated detection of DR to prevent vision loss and blindness.…
The Substrates of Integrated Neurocognitive Rehabilitation Platforms (INCRPs)
Iman Ghodratitoostani, Ali-Mohammad Kamali, Mahshid Tahamtan +3
The integrated neurocognitive rehabilitation platforms (INCRPs) refer to infrastructures and teams integrated for set of interventions which aim to restore, or compensate for cogni…
Improved visual function in a case of ultra-low vision following ischemic encephalopathy following transcranial electrical stimulation; A case study
Ali-Mohammad Kamali, Mohammad Javad Gholamzadeh, Seyedeh Zahra Mousavi +2
Cortical visual impairment is amongst the key pathological causes of pediatric visual abnormalities predominantly resulting from hypoxic-ischemic brain injury. Such an injury resul…
Top-down predictions influence binocular rivalry through beta band rhythms: a qEEG-based investigation
Azadeh Mojdehfarahbakhsh, Saba Nouri, Abolfazl Alipour +1
Predictive coding theory suggests that conscious perception results from the interaction between top-down and bottom-up signals in the brain. However, the electrophysiological sign…
Secure and Privacy Preserving Consensus for Second-order Systems Based on Paillier Encryption
Wentuo Fang, Mohsen Zamani, Zhiyong Chen
This paper aims at secure and privacy preserving consensus algorithms of networked systems. Due to the technical challenges behind decentralized design of such algorithms, the exis…
Asymmetry energy of nuclear matter: Temperature and density dependence, and validity of semi-empirical formula
G. H. Bordbar, R. Feridoonnezhad, M. Taghizade
In this work, we have done a completely microscopic calculation using a many-body variational method based on the cluster expansion of energy to compute the asymmetry energy of nuc…
Partial Semigroup Algebras Associated to Partial Actions
B. Tabatabaie Shourijeh, S. Moayeri Rahni
For a given inverse semigroup S , we introduce the notion of algebraic crossed product by using a given partial action of S, and we will prove that under some condition it is assoc…
On confidence intervals for the power of F-tests
Ali Akbar Jafari, Abdollreza Bazargan-Lari, Mingfei
This note points out how confidence interval estimates for standard deviation transform into confidence interval estimates for the power of F-tests at fixed alternative means. An a…
Thermodynamics of a Kerr Newman de Sitter Black Hole
M. H. Dehghani, H. KhajehAzad
We compute the conserved quantities of the four-dimensional Kerr-Newman-dS (KNdS) black hole through the use of the counterterm renormalization method, and obtain a generalized Sma…