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ORCIDFolami Alamudun
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2020 – today
- 2022
[c11]Folami Alamudun, Jacob D. Hinkle, Sajal Dash
, Benjamín Hernández, Aristeidis Tsaris, Hong-Jun Yoon:
Distilling Knowledge from Ensembles of Cluster-Constrained-Attention Multiple-Instance Learners for Whole Slide Image Classification. IEEE Big Data 2022: 3393-3397- [c10]Sajal Dash, Benjamín Hernández, Aristeidis Tsaris, Folami T. Alamudun, Hong-Jun Yoon, Feiyi Wang:
A Scalable Pipeline for Gigapixel Whole Slide Imaging Analysis on Leadership Class HPC Systems. IPDPS Workshops 2022: 1266-1274 - 2021
- [c9]Olivera Kotevska, Folami Alamudun, Christopher B. Stanley:
Optimal Balance of Privacy and Utility with Differential Privacy Deep Learning Frameworks. CSCI 2021: 425-430 - [c8]Srikanth B. Yoginath, Mathieu Doucet, Debsindhu Bhowmik, David Heise, Folami Alamudun, Hong-Jun Yoon, Christopher B. Stanley:
Secure Collaborative Environment for Seamless Sharing of Scientific Knowledge. SMC 2021: 139-156 - 2020
- [c7]Suzanne Parete-Koon, Peter F. Peterson, Garrett E. Granroth, Wenduo Zhou, Pravallika Devineni, Nouamane Laanait, Junqi Yin, Albina Y. Borisevich, Ketan Maheshwari, Melissa R. Allen-Dumas, Srinath Ravulaparthy, Kuldeep R. Kurte, Jibo Sanyal, Anne Berres, Olivera Kotevska, Folami Alamudun, Keith Gray, Max Grossman, Anar Yusifov, Ioana Danciu, Gil Alterovitz, Dasha Herrmannova:
Smoky Mountain Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Urban Modeling and Dynamics, Geophysics, and Biomedical Informatics. SMC 2020: 425-442
2010 – 2019
- 2019
- [c6]John X. Qiu, Shang Gao, Mohammed M. Alawad, Noah Schaefferkoetter, Folami Alamudun, Hong-Jun Yoon, Xiao-Cheng Wu, Georgia D. Tourassi:
Semi-Supervised Information Extraction for Cancer Pathology Reports. BHI 2019: 1-4 - [c5]Hong-Jun Yoon, John X. Qiu, James Blair Christian, Jacob D. Hinkle, Folami Alamudun, Georgia D. Tourassi:
Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks. INNSBDDL 2019: 89-98 - 2018
- [c4]Hong-Jun Yoon, Arvind Ramanathan, Folami Alamudun, Georgia D. Tourassi:
Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer. IWBI 2018: 107181H - 2017
- [c3]Folami T. Alamudun, Tracy Hammond, Hong-Jun Yoon, Georgia D. Tourassi:
Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology. HCI (14) 2017: 123-138 - 2016
- [j2]Vijay Rajanna, Folami Alamudun, Daniel W. Goldberg, Tracy Hammond:
Let Me Relax: Toward Automated Sedentary State Recognition and Ubiquitous Mental Wellness Solutions. EAI Endorsed Trans. Ambient Syst. 3(11): e2 (2016) - [j1]Shiqiang Guo, Folami Alamudun, Tracy Hammond:
RésuMatcher: A personalized résumé-job matching system. Expert Syst. Appl. 60: 169-182 (2016) - [c2]Folami Alamudun, Hong-Jun Yoon, Tracy Hammond, Kathy Hudson, Garnetta Morin-Ducote, Georgia D. Tourassi:
Shapelet analysis of pupil dilation for modeling visuo-cognitive behavior in screening mammography. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2016: 97870M - 2012
- [c1]Folami Alamudun, Jongyoon Choi, Ricardo Gutierrez-Osuna, Hira Khan, Beena Ahmed:
Removal of subject-dependent and activity-dependent variation in physiological measures of stress. PervasiveHealth 2012: 115-122
Coauthor Index
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