| Spatio-temporal-thematic analysis of citizen sensor data: Challenges and experiences M Nagarajan, K Gomadam, AP Sheth, A Ranabahu, R Mutharaju, ... International Conference on Web Information Systems Engineering, 539-553, 2009 | 128 | 2009 |
| Evaluating the process of online health information searching: a qualitative approach to exploring consumer perspectives AS Fiksdal, A Kumbamu, AS Jadhav, C Cocos, LA Nelsen, J Pathak, ... Journal of medical Internet research 16 (10), e224, 2014 | 127 | 2014 |
| Empowering personalized medicine with big data and semantic web technology: promises, challenges, and use cases M Panahiazar, V Taslimitehrani, A Jadhav, J Pathak Big Data (Big Data), 2014 IEEE International Conference on, 790-795, 2014 | 81 | 2014 |
| Chapter title: Twitris-a system for collective social intelligence A Sheth, A Jadhav, P Kapanipathi, C Lu, H Purohit, AG Smith, W Wang Encyclopedia of social network analysis and mining, 2014 | 62 | 2014 |
| Comparative analysis of online health queries originating from personal computers and smart devices on a consumer health information portal A Jadhav, D Andrews, A Fiksdal, A Kumbamu, JB McCormick, A Misitano, ... Journal of medical Internet research 16 (7), e160, 2014 | 50 | 2014 |
| Twitris 2.0: Semantically empowered system for understanding perceptions from social data A Jadhav, H Purohit, P Kapanipathi, P Anantharam, AH Ranabahu, ... Semantic Web Challenge, International Semantic Web Conference (ISWC), 2010 | 49 | 2010 |
| Understanding events through analysis of social media AP Sheth, H Purohit, AS Jadhav, P Kapanipathi, L Chen | 29 | 2010 |
| Analysis of Online Information Searching for Cardiovascular Diseases on a Consumer Health Information Portal A Jadhav, A Sheth, J Pathak AMIA Annual Symposium 2014, 2014 | 7 | 2014 |
| Twitris: socially influenced browsing A Jadhav, W Wang, R Mutharaju, P Anantharam, V Nyugen, AP Sheth, ... Semantic Web Challenge, International Semantic Web Conference (ISWC), 2009 | 7* | 2009 |
| Online Information Seeking for Cardiovascular Diseases: A Case Study from Mayo Clinic A Jadhav, S Wu, A Sheth, J Pathak 25th European Medical Informatics Conference (MIE) 205, 702-706, 2014 | 6* | 2014 |
| Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents JT Wu, KCL Wong, Y Gur, N Ansari, A Karargyris, A Sharma, M Morris, ... JAMA network open 3 (10), e2022779-e2022779, 2020 | 3 | 2020 |
| Context-aware information item recommendations for deals AS Jadhav, HRM Nezhad, SD Spence, C Bartolini US Patent App. 13/750,187, 2014 | 2 | 2014 |
| Twitris+: Social media analytics platform for effective coordination AG Smith, A Sheth, A Jadhav, H Purohit, L Chen, M Cooney, ... | 2 | 2012 |
| Determining appropriate medical image processing pipeline based on machine learning A Katouzian, A Pillai, C Shivade, M Bendersky, A Jadhav, V Mukherjee, ... US Patent 10,740,866, 2020 | 1 | 2020 |
| Extracting and Learning Fine-grained Labels from Chest Radiographs T Syeda-Mahmood, KCL Wong, JT Wu, A Jadhav, O Boyko American Medical Informatics Association (AMIA Annual Symposium 2020), 2020 | 1 | 2020 |
| Chest X-ray Report Generation through fine-grained label learning T Syeda-Mahmood, KCL Wong, Y Gur, JT Wu, A Jadhav, A Karargyris, ... Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), 2020 | 1 | 2020 |
| A knowledge-based question answering system to provide cognitive assistance to radiologists A Pillai, A Katouzian, K Kanjaria, C Shivade, A Jadhav, M Bendersky, ... Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and …, 2019 | 1 | 2019 |
| Knowledge Driven Search Intent Mining A Jadhav | 1 | 2016 |
| Social Health Signals AS Jadhav, S Soni, AP Sheth | 1 | 2015 |
| Determining Appropriate Medical Image Processing Pipeline Based on Machine Learning A Katouzian, A Pillai, C Shivade, M Bendersky, A Jadhav, V Mukherjee, ... US Patent App. 16/903,692, 2020 | | 2020 |
Amit ShethDirector, AI Institute, University of South CarolinaVerifierad e-postadress på sc.edu
