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Publication search results
found 35 matches
- 2024
- Jacob Thrasher, Alina Devkota, Ahmad P. Tafti, Binod Bhattarai, Prashnna K. Gyawali:
TE-SSL: Time and Event-Aware Self Supervised Learning for Alzheimer's Disease Progression Analysis. MICCAI (12) 2024: 324-333 - Mahbaneh Eshaghzadeh Torbati, Davneet S. Minhas, Ahmad P. Tafti, Charles DeCarli, Dana L. Tudorascu, Seong Jae Hwang:
ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation. MICCAI (2) 2024: 184-194 - Morgane Rivière, Shreya Pathak, Pier Giuseppe Sessa, Cassidy Hardin, Surya Bhupatiraju, Léonard Hussenot, Thomas Mesnard, Bobak Shahriari, Alexandre Ramé, Johan Ferret, Peter Liu, Pouya Tafti, Abe Friesen, Michelle Casbon, Sabela Ramos, Ravin Kumar, Charline Le Lan, Sammy Jerome, Anton Tsitsulin, Nino Vieillard, Piotr Stanczyk, Sertan Girgin, Nikola Momchev, Matt Hoffman, Shantanu Thakoor, Jean-Bastien Grill, Behnam Neyshabur, Olivier Bachem, Alanna Walton, Aliaksei Severyn, Alicia Parrish, Aliya Ahmad, Allen Hutchison, Alvin Abdagic, Amanda Carl, Amy Shen, Andy Brock, Andy Coenen, Anthony Laforge, Antonia Paterson, Ben Bastian, Bilal Piot, Bo Wu, Brandon Royal, Charlie Chen, Chintu Kumar, Chris Perry, Chris Welty, Christopher A. Choquette-Choo, Danila Sinopalnikov, David Weinberger, Dimple Vijaykumar, Dominika Rogozinska, Dustin Herbison, Elisa Bandy, Emma Wang, Eric Noland, Erica Moreira, Evan Senter, Evgenii Eltyshev, Francesco Visin, Gabriel Rasskin, Gary Wei, Glenn Cameron, Gus Martins, Hadi Hashemi, Hanna Klimczak-Plucinska, Harleen Batra, Harsh Dhand, Ivan Nardini, Jacinda Mein, Jack Zhou, James Svensson, Jeff Stanway, Jetha Chan, Jin Peng Zhou, Joana Carrasqueira, Joana Iljazi, Jocelyn Becker, Joe Fernandez, Joost van Amersfoort, Josh Gordon, Josh Lipschultz, Josh Newlan, Ju-yeong Ji, Kareem Mohamed, Kartikeya Badola, Kat Black, Katie Millican, Keelin McDonell, Kelvin Nguyen, Kiranbir Sodhia, Kish Greene, Lars Lowe Sjösund, Lauren Usui, Laurent Sifre, Lena Heuermann, Leticia Lago, Lilly McNealus:
Gemma 2: Improving Open Language Models at a Practical Size. CoRR abs/2408.00118 (2024) - 2023
- Nickolas Littlefield, Johannes F. Plate, Kurt R. Weiss, Ines Lohse, Avani Chhabra, Ismaeel A. Siddiqui, Zoe Menezes, George M. Mastorakos, Sakshi Mehul Thakar, Mehrnaz Abedian, Matthew F. Gong, Luke A. Carlson, Hamidreza Moradi, Soheyla Amirian, Ahmad P. Tafti:
Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs. BHI 2023: 1-5 - Christina Letter, Puneet Gupta, Annie Kim, Guang-Ting Cong, Hongfang Liu, Ahmad P. Tafti:
Gender-Specific Machine Learning Models to Predict Unplanned Return to Operating Room Following Primary Total Shoulder Arthroplasty. ICHI 2023: 717-721 - Nickolas Littlefield, Hamidreza Moradi, Soheyla Amirian, Hilal Maradit Kremers, Johannes F. Plate, Ahmad P. Tafti:
Enforcing Explainable Deep Few-Shot Learning to Analyze Plain Knee Radiographs: Data from the Osteoarthritis Initiative. ICHI 2023: 252-260 - Nickolas Littlefield, Johannes F. Plate, Kurt R. Weiss, Ines Lohse, Avani Chhabra, Ismaeel A. Siddiqui, Zoe Menezes, George M. Mastorakos, Soheyla Amirian, Hamidreza Moradi, Ahmad P. Tafti:
AI Fairness in Hip Bony Anatomy Segmentation: Analyzing and Mitigating Gender and Racial Bias in Plain Radiography Analysis. ICHI 2023: 714-716 - Nickolas Littlefield, Johannes F. Plate, Kurt R. Weiss, Ines Lohse, Avani Chhabra, Ismaeel A. Siddiqui, Zoe Menezes, George M. Mastorakos, Sakshi Mehul Thakar, Mehrnaz Abedian, Matthew F. Gong, Luke A. Carlson, Hamidreza Moradi, Soheyla Amirian, Ahmad P. Tafti:
Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs. CoRR abs/2308.04356 (2023) - Soheyla Amirian, Luke A. Carlson, Matthew F. Gong, Ines Lohse, Kurt R. Weiss, Johannes F. Plate, Ahmad P. Tafti:
Explainable AI in Orthopedics: Challenges, Opportunities, and Prospects. CoRR abs/2308.04696 (2023) - 2022
- Alireza Heidari, Khalil I. Elkhodary, Cristina Pop, Mohamed Badran, Hojatollah Vali, Yousof M. A. Abdel-Raouf, Saeed Torbati, Masoud Asgharian, Russell J. Steele, Iradj Mahmoudzadeh Kani, Sara Sheibani, Hamidreza Pouraliakbar, Hakimeh Sadeghian, Renzo Cecere, Matthias G. W. Friedrich, Hossein Ahmadi Tafti:
Patient-specific finite element analysis of heart failure and the impact of surgical intervention in pulmonary hypertension secondary to mitral valve disease. Medical Biol. Eng. Comput. 60(6): 1723-1744 (2022) - Soheyla Amirian, Husam Ghazaleh, Mehdi Assefi, Hilal Maradit Kremers, Hamid R. Arabnia, Johannes F. Plate, Ahmad P. Tafti:
Word Embedding Neural Networks to Advance Knee Osteoarthritis Research. CSCI 2022: 289-292 - Shi Yan, Taghi Ramazanian, Elham Sagheb, Walter K. Kremers, Vipin Chaudhary, Michael J. Taunton, Hilal Maradit Kremers, Ahmad P. Tafti:
Give me a knee radiograph, I will tell you where the knee joint area is: a deep convolutional neural network adventure. CoRR abs/2202.05382 (2022) - Soheyla Amirian, Husam Ghazaleh, Mehdi Assefi, Hilal Maradit Kremers, Hamid R. Arabnia, Johannes F. Plate, Ahmad P. Tafti:
Word Embedding Neural Networks to Advance Knee Osteoarthritis Research. CoRR abs/2212.11933 (2022) - 2020
- Yanshan Wang, Yiqing Zhao, Terry M. Therneau, Elizabeth J. Atkinson, Ahmad P. Tafti, Nan Zhang, Shreyasee Amin, Andrew H. Limper, Sundeep Khosla, Hongfang Liu:
Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records. J. Biomed. Informatics 102: 103364 (2020) - Luke A. Carlson, Jennifer St. Sauver, Sunyang Fu, Ahmad P. Tafti, Jungwei Fan, Molly M. Jeffery, Rozalina G. McCoy, Hongfang Liu, Yanshan Wang:
Big Impact from Small Data: Unsupervised Machine Learning Approaches for Chronic Pain Patient Subgrouping. AMIA 2020 - Shi Yan, Taghi Ramazanian, Elham Sagheb, Sunyang Fu, Sunghwan Sohn, David G. Lewallen, Hongfang Liu, Walter K. Kremers, Vipin Chaudhary, Michael J. Taunton, Hilal Maradit Kremers, Ahmad P. Tafti:
DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks. ISVC (2) 2020: 154-165 - 2019
- Ahmad P. Tafti, Edin Cubro, Hongfang Liu, Brian W. Pickering, Vitaly Herasevich:
Privacy-preserving and non-intrusive video recognition technique to count the number of patient room visits during patient deterioration: a simulation study. AMIA 2019 - Maryam Zolnoori, Che Ngufor, Anthony Faiola, Christina Eldredge, Jake Luo, Sunghwan Sohn, Joyce E. Balls-Berry, Ahmad P. Tafti, Nilay D. Shah, Timothy B. Patrick:
Identifying Factors Affecting Drug Discontinuation in Patients with Depression: Text Analysis of Patient Drug Review Posts. AMIA 2019 - Ahmad P. Tafti, Yanshan Wang, Feichen Shen, Elham Sagheb, Paul R. Kingsbury, Hongfang Liu:
Integrating word embedding neural networks with PubMed abstracts to extract keyword proximity of chronic diseases. BHI 2019: 1-4 - Ahmad P. Tafti, Sunyang Fu, Aditya Khurana, George M. Mastorakos, Kenneth G. Poole, Stephen J. Traub, James A. Yiannias, Hongfang Liu:
Artificial intelligence to organize patient portal messages: a journey from an ensemble deep learning text classification to rule-based named entity recognition. BIBM 2019: 1380-1387 - Ahmad P. Tafti, Yue Dong, Elizabeth B. Habermann, Hongfang Liu, Vitaly Herasevich:
Relationship Between Very Cold Outside Weather and Surgical Outcome: Integrating Shallow and Deep Artificial Neural Nets. MedInfo 2019: 1783-1784 - Yanshan Wang, Ahmad P. Tafti, Sunghwan Sohn, Rui Zhang:
Applications of Natural Language Processing in Clinical Research and Practice. NAACL-HLT (Tutorial Abstracts) 2019: 22-25 - Yanshan Wang, Yiqing Zhao, Terry M. Therneau, Elizabeth J. Atkinson, Ahmad P. Tafti, Nan Zhang, Shreyasee Amin, Andrew H. Limper, Hongfang Liu:
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records. CoRR abs/1905.10309 (2019) - 2018
- Ahmad Pahlavan Tafti, Ahmadreza Baghaie, Andrew B. Kirkpatrick, Jessica D. Holz, Heather A. Owen, Roshan M. D'Souza, Zeyun Yu:
A comparative study on the application of SIFT, SURF, BRIEF and ORB for 3D surface reconstruction of electron microscopy images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(1): 17-30 (2018) - Ahmad Pahlavan Tafti, Fereshteh S. Bashiri, Eric LaRose, Peggy L. Peissig:
Diagnostic Classification of Lung CT Images Using Deep 3D Multi-Scale Convolutional Neural Network. ICHI 2018: 412-414 - Yirong Wu, Jun Fan, Peggy L. Peissig, Richard L. Berg, Ahmad Pahlavan Tafti, Jie Yin, Ming Yuan, David Page, Jennifer Cox, Elizabeth S. Burnside:
Quantifying predictive capability of electronic health records for the most harmful breast cancer. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770J - 2017
- Mehdi Assefi, Ehsun Behravesh, Guangchi Liu, Ahmad Pahlavan Tafti:
Big data machine learning using apache spark MLlib. IEEE BigData 2017: 3492-3498 - Ahmad Pahlavan Tafti, Ehsun Behravesh, Mehdi Assefi, Eric LaRose, Jonathan C. Badger, John Mayer, AnHai Doan, David Page, Peggy L. Peissig:
bigNN: An open-source big data toolkit focused on biomedical sentence classification. IEEE BigData 2017: 3888-3896 - Ahmad Pahlavan Tafti, Eric LaRose, Jonathan C. Badger, Ross Kleiman, Peggy L. Peissig:
Machine Learning-as-a-Service and Its Application to Medical Informatics. MLDM 2017: 206-219 - 2016
- Ahmad Pahlavan Tafti, Ahmadreza Baghaie, Mehdi Assefi, Hamid R. Arabnia, Zeyun Yu, Peggy L. Peissig:
OCR as a Service: An Experimental Evaluation of Google Docs OCR, Tesseract, ABBYY FineReader, and Transym. ISVC (1) 2016: 735-746
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