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Fatemeh Haghighi
Fatemeh Haghighi
PhD (Computer Science) Student, Arizona State University
Verified email at asu.edu
Title
Cited by
Cited by
Year
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning
F Haghighi, MRH Taher, Z Zhou, MB Gotway, J Liang
IEEE Transactions on Medical Imaging 40 (10), 2857-2868, 2021
932021
Dira: Discriminative, restorative, and adversarial learning for self-supervised medical image analysis
F Haghighi, MRH Taher, MB Gotway, J Liang
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
692022
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration
F Haghighi, MRH Taher, Z Zhou, MB Gotway, J Liang
International Conference on Medical Image Computing and Computer Assisted …, 2020
692020
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis
MRH Taher, F Haghighi, R Feng, MB Gotway, J Liang
International Conference on Medical Image Computing and Computer Assisted …, 2021
64*2021
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging
MRH Taher, F Haghighi, MB Gotway, J Liang
Medical Imaging with Deep Learning, 2022
382022
Benchmarking and Boosting Transformers for Medical Image Classification
DA Ma, MR Hosseinzadeh Taher, J Pang, NUI Islam, F Haghighi, ...
MICCAI Workshop on Domain Adaptation and Representation Transfer, 12-22, 2022
132022
POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image Analysis
J Pang, F Haghighi, DA Ma, NU Islam, MR Hosseinzadeh Taher, ...
MICCAI Workshop on Domain Adaptation and Representation Transfer, 77-87, 2022
52022
Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial?
F Haghighi, MRH Taher, MB Gotway, J Liang
Medical Image Analysis, 103086, 2024
42024
Systems, methods, and apparatuses for implementing a self-supervised chest x-ray image analysis machine-learning model utilizing transferable visual words
MRH Taher, F Haghighi, J Liang
US Patent 11,436,725, 2022
42022
Self-supervised Learning for Segmentation and Quantification of Dopamine Neurons in Parkinson's Disease
F Haghighi, S Ghosh, H Ngu, S Chu, H Lin, M Hejrati, B Bingol, ...
Transactions on Machine Learning Research, 2023
2*2023
Systems, methods, and apparatuses for implementing transferable visual words by exploiting the semantics of anatomical patterns for self-supervised learning
F Haghighi, MRH Taher, Z Zhou, J Liang
US Patent App. 17/676,134, 2022
22022
Systems, methods, and apparatuses for implementing self-supervised domain-adaptive pre-training via a transformer for use with medical image classification
DA Ma, J Pang, NU Islam, MRH Taher, F Haghighi, J Liang
US Patent App. 18/126,318, 2023
12023
Systems, methods, and apparatuses for learning semantics-enriched representations via self-discovery, self-classification, and self-restoration in the context of medical imaging
F Haghighi, MRH Taher, Z Zhou, J Liang
US Patent 11,763,952, 2023
2023
SYSTEMS, METHODS, AND APPARATUSES FOR IMPLEMENTING DISCRIMINATIVE, RESTORATIVE, AND ADVERSARIAL (DiRA) LEARNING FOR SELF-SUPERVISED MEDICAL IMAGE ANALYSIS
F Haghighi, MRH Taher, J Liang
US Patent App. 18/111,136, 2023
2023
SYSTEMS, METHODS, AND APPARATUSES FOR IMPLEMENTING A SELF-SUPERVISED LEARNING FRAMEWORK FOR EMPOWERING INSTANCE DISCRIMINATION IN MEDICAL IMAGING USING CONTEXT-AWARE INSTANCE …
MR Hosseinzadeh Taher, F Haghighi, J Liang
US Patent App. 18/085,145, 2023
2023
Systems, methods, and apparatuses for implementing systematic benchmarking analysis to improve transfer learning for medical image analysis
MRH Taher, F Haghighi, R Feng, J Liang
US Patent App. 17/961,896, 2023
2023
Self-supervised Learning for Cell Segmentation and Quantification in Digital Pathology Images
F Haghighi, H Ngu, M Hejrati, S Chu, H Lin, S Hashemifar
2022
Systems, methods, and apparatuses for the use of transferable visual words for ai models through self-supervised learning in the absence of manual labeling for the processing …
F Haghighi, MRH Taher, Z Zhou, J Liang
US Patent App. 17/246,032, 2021
2021
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