Search Results - "Vafaei Sadr, Alireza"

Unsupervised pseudo CT generation using heterogenous multicentric CT/MR images and CycleGAN: Dosimetric assessment for 3D conformal radiotherapy by Jabbarpour, Amir, Mahdavi, Seied Rabi, Vafaei Sadr, Alireza, Esmaili, Golbarg, Shiri, Isaac, Zaidi, Habib

“…Absorbed dose calculation in magnetic resonance-guided radiation therapy (MRgRT) is commonly based on pseudo CT (pCT) images. This study investigated the…”
Get full text

An interpretable machine learning approach to study the relationship beetwen retrognathia and skull anatomy by Makaremi, Masrour, Vafaei Sadr, Alireza, Marcy, Benoit, Chraibi Kaadoud, Ikram, Mohammad-Djafari, Ali, Sadoun, Salomé, De Brondeau, François, N’kaoua, Bernard

“…Mandibular retrognathia (C2Rm) is one of the most common oral pathologies. Acquiring a better understanding of the points of impact of C2Rm on the entire skull…”
Get full text

Artificial Intelligence: A Shifting Paradigm in Cardio-Cerebrovascular Medicine by Abedi, Vida, Razavi, Seyed-Mostafa, Khan, Ayesha, Avula, Venkatesh, Tompe, Aparna, Poursoroush, Asma, Vafaei Sadr, Alireza, Li, Jiang, Zand, Ramin

“…The future of healthcare is an organic blend of technology, innovation, and human connection. As artificial intelligence (AI) is gradually becoming a go-to…”
Get full text

SARS-CoV-2 Is a Culprit for Some, but Not All Acute Ischemic Strokes: A Report from the Multinational COVID-19 Stroke Study Group by Shahjouei, Shima, Anyaehie, Michelle, Koza, Eric, Tsivgoulis, Georgios, Naderi, Soheil, Mowla, Ashkan, Avula, Venkatesh, Vafaei Sadr, Alireza, Chaudhary, Durgesh, Farahmand, Ghasem, Griessenauer, Christoph, Azarpazhooh, Mahmoud Reza, Misra, Debdipto, Li, Jiang, Abedi, Vida, Zand, Ramin, The Multinational Covid-Stroke Study Group

“…SARS-CoV-2 infected patients are suggested to have a higher incidence of thrombotic events such as acute ischemic strokes (AIS). This study aimed at exploring…”
Get full text

Clusternets: a deep learning approach to probe clustering dark energy by Chegeni, Amirmohammad, Hassani, Farbod, Vafaei Sadr, Alireza, Khosravi, Nima, Kunz, Martin

“…Machine learning (ML) algorithms are becoming popular in cosmology for extracting valuable information from cosmological data. In this paper, we evaluate the…”
Get full text

Deep learning improves identification of Radio Frequency Interference by Vafaei Sadr, Alireza, Bassett, Bruce A, Oozeer, Nadeem, Fantaye, Yabebal, Finlay, Chris

“…ABSTRACT Flagging of Radio Frequency Interference (RFI) in time–frequency visibility data is an increasingly important challenge in radio astronomy. We present…”
Get full text

Enhancing Sepsis prognosis: Integrating social determinants and demographic variables into a comprehensive model for critically ill patients by Sarraf, Elie, Sadr, Alireza Vafaei, Abedi, Vida, Bonavia, Anthony S.

“…The Sequential Organ Failure Assessment (SOFA) score monitors organ failure and defines sepsis but may not fully capture factors influencing sepsis mortality…”
Get full text

Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning by Shiri, Isaac, Vafaei Sadr, Alireza, Akhavan, Azadeh, Salimi, Yazdan, Sanaat, Amirhossein, Amini, Mehdi, Razeghi, Behrooz, Saberi, Abdollah, Arabi, Hossein, Ferdowsi, Sohrab, Voloshynovskiy, Slava, Gündüz, Deniz, Rahmim, Arman, Zaidi, Habib

“…Purpose Attenuation correction and scatter compensation (AC/SC) are two main steps toward quantitative PET imaging, which remain challenging in PET-only and…”
Get full text

A flexible framework for anomaly Detection via dimensionality reduction by Vafaei Sadr, Alireza, Bassett, Bruce A., Kunz, M.

“…Anomaly detection is challenging, especially for large datasets in high dimensions. Here, we explore a general anomaly detection framework based on…”
Get full text

Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework by Shiri, Isaac, Vafaei Sadr, Alireza, Amini, Mehdi, Salimi, Yazdan, Sanaat, Amirhossein, Akhavanallaf, Azadeh, Razeghi, Behrooz, Ferdowsi, Sohrab, Saberi, Abdollah, Arabi, Hossein, Becker, Minerva, Voloshynovskiy, Slava, Gündüz, Deniz, Rahmim, Arman, Zaidi, Habib

“…The generalizability and trustworthiness of deep learning (DL)-based algorithms depend on the size and heterogeneity of training datasets. However, because of…”
Get full text

Multi-institutional PET/CT image segmentation using federated deep transformer learning by Shiri, Isaac, Razeghi, Behrooz, Vafaei Sadr, Alireza, Amini, Mehdi, Salimi, Yazdan, Ferdowsi, Sohrab, Boor, Peter, Gündüz, Deniz, Voloshynovskiy, Slava, Zaidi, Habib

“…•Sharing datasets between centers is challenged by legal, ethical, and patient privacy issues.•We developed a decentralized federated learning (FL) framework…”
Get full text

Deep Learning-based Non-rigid Image Registration for High-dose Rate Brachytherapy in Inter-fraction Cervical Cancer by Salehi, Mohammad, Vafaei Sadr, Alireza, Mahdavi, Seied Rabi, Arabi, Hossein, Shiri, Isaac, Reiazi, Reza

“…In this study, an inter-fraction organ deformation simulation framework for the locally advanced cervical cancer (LACC), which considers the anatomical…”
Get full text

Information fusion for fully automated segmentation of head and neck tumors from PET and CT images by Shiri, Isaac, Amini, Mehdi, Yousefirizi, Fereshteh, Vafaei Sadr, Alireza, Hajianfar, Ghasem, Salimi, Yazdan, Mansouri, Zahra, Jenabi, Elnaz, Maghsudi, Mehdi, Mainta, Ismini, Becker, Minerva, Rahmim, Arman, Zaidi, Habib

“…Background PET/CT images combining anatomic and metabolic data provide complementary information that can improve clinical task performance. PET image…”
Get full text

Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology by Homeyer, André, Geißler, Christian, Schwen, Lars Ole, Zakrzewski, Falk, Evans, Theodore, Strohmenger, Klaus, Westphal, Max, Bülow, Roman David, Kargl, Michaela, Karjauv, Aray, Munné-Bertran, Isidre, Retzlaff, Carl Orge, Romero-López, Adrià, Sołtysiński, Tomasz, Plass, Markus, Carvalho, Rita, Steinbach, Peter, Lan, Yu-Chia, Bouteldja, Nassim, Haber, David, Rojas-Carulla, Mateo, Vafaei Sadr, Alireza, Kraft, Matthias, Krüger, Daniel, Fick, Rutger, Lang, Tobias, Boor, Peter, Müller, Heimo, Hufnagl, Peter, Zerbe, Norman

“…Artificial intelligence (AI) solutions that automatically extract information from digital histology images have shown great promise for improving pathological…”
Get full text

Next-Generation Morphometry for pathomics-data mining in histopathology by Hölscher, David L., Bouteldja, Nassim, Joodaki, Mehdi, Russo, Maria L., Lan, Yu-Chia, Sadr, Alireza Vafaei, Cheng, Mingbo, Tesar, Vladimir, Stillfried, Saskia V., Klinkhammer, Barbara M., Barratt, Jonathan, Floege, Jürgen, Roberts, Ian S. D., Coppo, Rosanna, Costa, Ivan G., Bülow, Roman D., Boor, Peter

“…Pathology diagnostics relies on the assessment of morphology by trained experts, which remains subjective and qualitative. Here we developed a framework for…”
Get full text

Exploring white matter microstructure and olfaction dysfunction in early parkinson disease: diffusion MRI reveals new insight by Sobhani, Soheila, Rahmani, Farzaneh, Aarabi, Mohammad Hadi, Sadr, Alireza Vafaei

“…Olfaction dysfunction is considered as a robust marker of prodromal Parkinson disease (PD). Measurement of olfaction function as a screening test is…”
Get full text

Many Models, Little Adoption-What Accounts for Low Uptake of Machine Learning Models for Atrial Fibrillation Prediction and Detection? by Kawamura, Yuki, Vafaei Sadr, Alireza, Abedi, Vida, Zand, Ramin

“…(1) Atrial fibrillation (AF) is a major risk factor for stroke and is often underdiagnosed, despite being present in 13-26% of ischemic stroke patients…”
Get full text

Differential privacy preserved federated transfer learning for multi-institutional 68Ga-PET image artefact detection and disentanglement by Shiri, Isaac, Salimi, Yazdan, Maghsudi, Mehdi, Jenabi, Elnaz, Harsini, Sara, Razeghi, Behrooz, Mostafaei, Shayan, Hajianfar, Ghasem, Sanaat, Amirhossein, Jafari, Esmail, Samimi, Rezvan, Khateri, Maziar, Sheikhzadeh, Peyman, Geramifar, Parham, Dadgar, Habibollah, Bitrafan Rajabi, Ahmad, Assadi, Majid, Bénard, François, Vafaei Sadr, Alireza, Voloshynovskiy, Slava, Mainta, Ismini, Uribe, Carlos, Rahmim, Arman, Zaidi, Habib

“…Purpose Image artefacts continue to pose challenges in clinical molecular imaging, resulting in misdiagnoses, additional radiation doses to patients and…”
Get full text

Self-Management among Stroke Survivors in the United States, 2016 to 2021 by Vemuri, Ajith Kumar, Hejazian, Seyyed Sina, Vafaei Sadr, Alireza, Zhou, Shouhao, Decker, Keith, Hakun, Jonathan, Abedi, Vida, Zand, Ramin

“…: Self-management among stroke survivors is effective in mitigating the risk of a recurrent stroke. This study aims to determine the prevalence of…”
Get full text

A rapid review of influential factors and appraised solutions on organ delineation uncertainties reduction in radiotherapy by Sadeghi, Sogand, Siavashpour, Zahra, Vafaei Sadr, Alireza, Farzin, Mostafa, Sharp, Ryan, Gholami, Somayeh

“…Accurate volume delineation plays an essential role in radiotherapy. Contouring is a potential source of uncertainties in radiotherapy treatment planning that…”
Get more information