Aligning the Parasite Experiment Ontology and the Ontology for Biomedical Investigations Using AgreementMaker. - Valerie Cross; Cosmin Stroe; Xueheng Hu; Pramit Silwal; Maryam Panahiazar; Isabel F. Cruz; Priti Parikh; Amit P. Sheth (ICBO, 2011)

Kino: A Generic Document Management System for Biologists Using SA-REST and Faceted Search. - Ajith Ranabahu; Priti Parikh; Maryam Panahiazar; Amit P. Sheth; Flora J. Logan-Klumpler (ICSC, 2011)

Web Service Composition Using Service Suggestions. - Rui Wang; Chaitanya Guttula; Maryam Panahiazar; Haseeb Yousaf; John A. Miller 001; Eileen T. Kraemer; Jessica C. Kissinger (SERVICES, 2011)

Semantic Web Services Approaches. - Carlos Pedrinaci; Maria Maleshkova; Maciej Zaremba; Maryam Panahiazar (Handbook of Service Description, 2012)

PhylOnt: A domain-specific ontology for phylogeny analysis. - Maryam Panahiazar; Ajith Ranabahu; Vahid Taslimi; Hima Yalamanchili; Arlin Stoltzfus; Jim Leebens-Mack; Amit P. Sheth (BIBM, 2012)

Semantic Web technology and Phyloinformatics. - Maryam Panahiazar (2012)

Empowering personalized medicine with big data and semantic web technology: Promises, challenges, and use cases. - Maryam Panahiazar; Vahid Taslimi; Ashutosh Jadhav; Jyotishman Pathak (IEEE BigData, 2014)

Using EHRs and Machine Learning for Heart Failure Survival Analysis. - Maryam Panahiazar; Vahid Taslimitehrani; Naveen Pereira; Jyotishman Pathak (MedInfo, 2015)

Using EHRs for Heart Failure Therapy Recommendation Using Multidimensional Patient Similarity Analytics. - Maryam Panahiazar; Vahid Taslimitehrani; Naveen L. Pereira; Jyotishman Pathak (MIE, 2015)

Predicting structured metadata from unstructured metadata. - Lisa Posch; Maryam Panahiazar; Michel Dumontier; Olivier Gevaert (Database J. Biol. Databases Curation, 2016)

Developing EHR-driven heart failure risk prediction models using CPXR(Log) with the probabilistic loss function. - Vahid Taslimitehrani; Guozhu Dong; Naveen L. Pereira; Maryam Panahiazar; Jyotishman Pathak (J. Biomed. Informatics, 2016)

Fast and Accurate Metadata Authoring Using Ontology-Based Recommendations. - Marcos Martínez Romero; Martin J. O'Connor; Ravi D. Shankar; Maryam Panahiazar; Debra Willrett; Attila Levente Egyedi; Olivier Gevaert; John B. Graybeal; Mark A. Musen (AMIA, 2017)

Predicting biomedical metadata in CEDAR: A study of Gene Expression Omnibus (GEO). - Maryam Panahiazar; Michel Dumontier; Olivier Gevaert (J. Biomed. Informatics, 2017)

Large Scale Advanced Data Analytics on Skin Conditions from Genotype to Phenotype. - Maryam Panahiazar; Darya Fadavi; Jihad Al-Jabban; Laraib Safeer; Imad Al-Jabban; Dexter Hadley (Informatics, 2018)

Automatic Labeling of Special Diagnostic Mammography Views from Images and DICOM Headers. - Dmytro S. Lituiev; Hari Trivedi; Maryam Panahiazar; Beau Norgeot; Youngho Seo; Benjamin L. Franc; Roy Harnish; Michael Kawczynski; Dexter Hadley (J. Digit. Imaging, 2019)

Large Scale Semi-Automated Labeling of Routine Free-Text Clinical Records for Deep Learning. - Hari Trivedi; Maryam Panahiazar; April Liang; Dmytro Lituiev; Peter Chang; Jae Ho Sohn; Yunn-Yi Chen; Benjamin L. Franc; Bonnie Joe; Dexter Hadley (J. Digit. Imaging, 2019)

Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment. - Maryam Panahiazar; Andrew M. Bishara; Yorick Chern; Roohallah Alizadehsani; Omar S. Latif; Dexter Hadley; Ramin E. Beygui (MedInfo, 2021)

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. - 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; et al. (Biomed. Signal Process. Control., 2021)

Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020. - 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; et al. (Comput. Biol. Medicine, 2021)

Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review. - 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 (Comput. Biol. Medicine, 2021)

Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works. - Afshin Shoeibi; Navid Ghassemi; Marjane Khodatars; Mahboobeh Jafari; Parisa Moridian; Roohallah Alizadehsani; Ali Khadem; Yinan Kong; Assef Zare; Juan Manuel Górriz; Javier Ramírez 001; Maryam Panahiazar; et al. (CoRR, 2021)

A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals. - Afshin Shoeibi; Navid Ghassemi; Roohallah Alizadehsani; Modjtaba Rouhani; Hossein Hosseini-Nejad; Abbas Khosravi; Maryam Panahiazar; Saeid Nahavandi (Expert Syst. Appl., 2021)

A Computational Approach to Understand Mental Health from Reddit: Knowledge-Aware Multitask Learning Framework. - Usha Lokala; Aseem Srivastava; Triyasha Ghosh Dastidar; Tanmoy Chakraborty 002; Md. Shad Akhtar; Maryam Panahiazar; Amit P. Sheth (ICWSM, 2022)

Data Analytics of Electronic Medical Record to Study Racial Diversities in Cardiovascular Diagnosis and Treatment. - Maryam Panahiazar; Yorick Chern; Ramon Riojas; Omar S. Latif; Dexter Hadley; Ramin E. Beygui (MIE, 2022)

An Ontology for Cardiothoracic Surgical Education and Clinical Data Analytics. - Maryam Panahiazar; Yorick Chern; Ramon Riojas; Omar S. Latif; Usha Lokala; Dexter Hadley; Amit P. Sheth; Ramin E. Beygui (MIE, 2022)

A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework. - Usha Lokala; Aseem Srivastava; Triyasha Ghosh Dastidar; Tanmoy Chakraborty 002; Md. Shad Akthar; Maryam Panahiazar; Amit P. Sheth (CoRR, 2022)

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). - 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; et al. (Ann. Oper. Res., 2024)