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ORCIDNitsa J. Herzog
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2020 – today
- 2025
[j4]Muhammad Shoaib Farooq
, Ayesha Kamran, Syed Atir Raza, Muhammad Farooq Wasiq, Bilal Hassan, Nitsa J. Herzog:
Advancing Early Blight Detection in Potato Leaves Through ZeroShot Learning. J. Imaging 11(8): 256 (2025)- [i2]Nitsa J. Herzog, Rejwan Bin Sulaiman, David J. Herzog, Rose Fong:
AI-Driven Personalized Learning: Predicting Academic Per-formance Through Leadership Personality Traits. CoRR abs/2510.19964 (2025) - 2024
- [j3]Binu M. Suresh, Nitsa J. Herzog:
Empowering Community Clinical Triage through Innovative Data-Driven Machine Learning. Digit. 4(2): 410-424 (2024) - [i1]David Josef Herzog, Nitsa Judith Herzog:
Towards a potential paradigm shift in health data collection and analysis. CoRR abs/2404.01403 (2024) - 2022
- [j2]Nitsa J. Herzog, George D. Magoulas:
Convolutional Neural Networks-Based Framework for Early Identification of Dementia Using MRI of Brain Asymmetry. Int. J. Neural Syst. 32(12): 2250053:1-2250053:15 (2022) - 2021
- [j1]Nitsa J. Herzog, George D. Magoulas:
Brain Asymmetry Detection and Machine Learning Classification for Diagnosis of Early Dementia. Sensors 21(3): 778 (2021) - [c2]Nitsa J. Herzog, George D. Magoulas:
Transfer Learning and Magnetic Resonance Imaging Techniques for the Deep Neural Network-Based Diagnosis of Early Cognitive Decline and Dementia. CIBB 2021: 53-66 - [c1]Nitsa J. Herzog, George D. Magoulas:
Deep Learning of Brain Asymmetry Images and Transfer Learning for Early Diagnosis of Dementia. EANN 2021: 57-70
Coauthor Index
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