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ORCIDMaryam Panahiazar
Person information
- affiliation: University of California, San Francisco, School of Medicine, CA, USA
- affiliation: University of California, Berkeley, CA, USA
- affiliation: Stanford University, School of Medicine, CA, USA
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Books and Theses
- 2012
[b1]Maryam Panahiazar:
Semantic Web technology and Phyloinformatics. University of Georgia, Athens, GA, USA, 2012
Journal Articles
- 2021
- [j11]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: 102622 (2021) - [j10]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: 104095 (2021) - [j9]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: 104697 (2021) - [j8]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: 113788 (2021) - 2019
- [j7]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): 30-37 (2019) - [j6]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): 228-233 (2019) - 2018
- [j5]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): 39 (2018) - 2017
- [j4]Maryam Panahiazar, Michel Dumontier, Olivier Gevaert:
Predicting biomedical metadata in CEDAR: A study of Gene Expression Omnibus (GEO). J. Biomed. Informatics 72: 132-139 (2017) - 2016
- [j3]Lisa Posch, Maryam Panahiazar, Michel Dumontier, Olivier Gevaert:
Predicting structured metadata from unstructured metadata. Database J. Biol. Databases Curation 2016 (2016) - [j2]Lisa Posch, Maryam Panahiazar, Michel Dumontier, Olivier Gevaert:
Predicting structured metadata from unstructured metadata. Database J. Biol. Databases Curation 2016 (2016) - [j1]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: 260-269 (2016)
Conference and Workshop Papers
- 2022
- [c12]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: 640-650 - [c11]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: 407-408 - [c10]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: 550-554 - 2021
- [c9]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: 1080-1081 - 2017
- [c8]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 - 2015
- [c7]Maryam Panahiazar, Vahid Taslimitehrani, Naveen Pereira, Jyotishman Pathak:
Using EHRs and Machine Learning for Heart Failure Survival Analysis. MedInfo 2015: 40-44 - [c6]Maryam Panahiazar, Vahid Taslimitehrani, Naveen L. Pereira, Jyotishman Pathak:
Using EHRs for Heart Failure Therapy Recommendation Using Multidimensional Patient Similarity Analytics. MIE 2015: 369-373 - 2014
- [c5]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: 790-795 - 2012
- [c4]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: 1-6 - 2011
- [c3]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 - [c2]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: 205-208 - [c1]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: 482-489
Parts in Books or Collections
- 2012
- [p1]Carlos Pedrinaci, Maria Maleshkova, Maciej Zaremba, Maryam Panahiazar:
Semantic Web Services Approaches. Handbook of Service Description 2012: 159-183
Informal and Other Publications
- 2022
- [i5]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 abs/2203.11856 (2022) - 2021
- [i4]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 abs/2102.06883 (2021) - [i3]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 abs/2105.04881 (2021) - [i2]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 abs/2105.14278 (2021) - 2020
- [i1]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 abs/2008.10114 (2020)
Coauthor Index
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