Maryam Panahiazar

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 23

Top Venues

CoRR

MIE

MedInfo

Database J. Biol. Databases Curation

University of Georgia, Athens, GA, USA (PHD)

Education History

University of Georgia, Athens, GA, USA

PHD

Publications

Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md. Shad Akhtar, Maryam Panahiazar, Amit P. Sheth
A Computational Approach to Understand Mental Health from Reddit: Knowledge-Aware Multitask Learning Framework. ICWSM (2022)
Maryam Panahiazar, Yorick Chern, Ramon Riojas, Omar S. Latif, Usha Lokala, Dexter Hadley, Amit P. Sheth, Ramin E. Beygui
An Ontology for Cardiothoracic Surgical Education and Clinical Data Analytics. MIE (2022)
Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md Shad Akthar, Maryam Panahiazar, Amit P. Sheth
A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework. CoRR (2022)
Maryam Panahiazar, Yorick Chern, Ramon Riojas, Omar S. Latif, Dexter Hadley, Ramin E. Beygui
Data Analytics of Electronic Medical Record to Study Racial Diversities in Cardiovascular Diagnosis and Treatment. MIE (2022)
Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. Biomed. Signal Process. Control. 68 (2021)
Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. CoRR (2021)
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Assef Zare, Juan Manuel Górriz, Javier Ramírez, Maryam Panahiazar, Abbas Khosravi, Saeid Nahavandi
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works. CoRR (2021)
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review. Comput. Biol. Medicine 136 (2021)
Afshin Shoeibi, Navid Ghassemi, Roohallah Alizadehsani, Modjtaba Rouhani, Hossein Hosseini-Nejad, Abbas Khosravi, Maryam Panahiazar, Saeid Nahavandi
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals. Expert Syst. Appl. 163 (2021)
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review. CoRR (2021)
Roohallah Alizadehsani, Abbas Khosravi, Mohamad Roshanzamir, Moloud Abdar, Nizal Sarrafzadegan, Davood Shafie, Fahime Khozeimeh, Afshin Shoeibi, Saeid Nahavandi, Maryam Panahiazar, Andrew Bishara, Ramin E. Beygui, Rishi Puri, Samir Kapadia, Ru San Tan, U. Rajendra Acharya
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020. Comput. Biol. Medicine 128 (2021)
Maryam Panahiazar, Andrew M. Bishara, Yorick Chern, Roohallah Alizadehsani, Omar S. Latif, Dexter Hadley, Ramin E. Beygui
Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment. MedInfo (2021)
Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020). CoRR (2020)
Dmytro S. Lituiev, Hari Trivedi, Maryam Panahiazar, Beau Norgeot, Youngho Seo, Benjamin L. Franc, Roy Harnish, Michael Kawczynski, Dexter Hadley
Automatic Labeling of Special Diagnostic Mammography Views from Images and DICOM Headers. J. Digit. Imaging 32 (2) (2019)
Hari Trivedi, Maryam Panahiazar, April Liang, Dmytro Lituiev, Peter Chang, Jae Ho Sohn, Yunn-Yi Chen, Benjamin L. Franc, Bonnie Joe, Dexter Hadley
Large Scale Semi-Automated Labeling of Routine Free-Text Clinical Records for Deep Learning. J. Digit. Imaging 32 (1) (2019)
Maryam Panahiazar, Darya Fadavi, Jihad Al-Jabban, Laraib Safeer, Imad Al-Jabban, Dexter Hadley
Large Scale Advanced Data Analytics on Skin Conditions from Genotype to Phenotype. Informatics 5 (4) (2018)
Maryam Panahiazar, Michel Dumontier, Olivier Gevaert
Predicting biomedical metadata in CEDAR: A study of Gene Expression Omnibus (GEO). J. Biomed. Informatics 72 (2017)
Marcos Martínez Romero, Martin J. O'Connor, Ravi D. Shankar, Maryam Panahiazar, Debra Willrett, Attila Levente Egyedi, Olivier Gevaert, John Graybeal, Mark A. Musen
Fast and Accurate Metadata Authoring Using Ontology-Based Recommendations. AMIA (2017)
Lisa Posch, Maryam Panahiazar, Michel Dumontier, Olivier Gevaert
Predicting structured metadata from unstructured metadata. Database J. Biol. Databases Curation 2016 (2016)
Vahid Taslimitehrani, Guozhu Dong, Naveen L. Pereira, Maryam Panahiazar, Jyotishman Pathak
Developing EHR-driven heart failure risk prediction models using CPXR(Log) with the probabilistic loss function. J. Biomed. Informatics 60 (2016)
Lisa Posch, Maryam Panahiazar, Michel Dumontier, Olivier Gevaert
Predicting structured metadata from unstructured metadata. Database J. Biol. Databases Curation 2016 (2016)
Maryam Panahiazar, Vahid Taslimitehrani, Naveen L. Pereira, Jyotishman Pathak
Using EHRs for Heart Failure Therapy Recommendation Using Multidimensional Patient Similarity Analytics. MIE (2015)
Maryam Panahiazar, Vahid Taslimitehrani, Naveen Pereira, Jyotishman Pathak
Using EHRs and Machine Learning for Heart Failure Survival Analysis. MedInfo (2015)
Maryam Panahiazar, Vahid Taslimi, Ashutosh Jadhav, Jyotishman Pathak
Empowering personalized medicine with big data and semantic web technology: Promises, challenges, and use cases. IEEE BigData (2014)
Maryam Panahiazar, Ajith Ranabahu, Vahid Taslimi, Hima Yalamanchili, Arlin Stoltzfus, Jim Leebens-Mack, Amit P. Sheth
PhylOnt: A domain-specific ontology for phylogeny analysis. BIBM (2012)
Ajith Ranabahu, Priti Parikh, Maryam Panahiazar, Amit P. Sheth, Flora J. Logan-Klumpler
Kino: A Generic Document Management System for Biologists Using SA-REST and Faceted Search. ICSC (2011)
Rui Wang, Chaitanya Guttula, Maryam Panahiazar, Haseeb Yousaf, John A. Miller, Eileen T. Kraemer, Jessica C. Kissinger
Web Service Composition Using Service Suggestions. SERVICES (2011)
Valerie Cross, Cosmin Stroe, Xueheng Hu, Pramit Silwal, Maryam Panahiazar, Isabel F. Cruz, Priti Parikh, Amit P. Sheth
Aligning the Parasite Experiment Ontology and the Ontology for Biomedical Investigations Using AgreementMaker. ICBO (2011)

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Publication Activity (10 Years)

Top Topics

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Maryam Panahiazar