Domain generalization for medical image analysis: A survey

JS Yoon, K Oh, Y Shin, MA Mazurowski… - arXiv preprint arXiv …, 2023 - arxiv.org
Medical Image Analysis (MedIA) has become an essential tool in medicine and healthcare,
aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in …

Health assessment of rotating equipment with unseen conditions using adversarial domain generalization toward self-supervised regularization learning

J Zhuang, M Jia, Y Ding, X Zhao - IEEE/ASME Transactions on …, 2022 - ieeexplore.ieee.org
Traditional health assessment models work well under the assumption that the test and
training samples obey a similar distribution. However, it is practically impossible to eliminate …

Domain Generalization for Medical Image Analysis: A Review

JS Yoon, K Oh, Y Shin, MA Mazurowski… - Proceedings of the …, 2024 - ieeexplore.ieee.org
Medical image analysis (MedIA) has become an essential tool in medicine and healthcare,
aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in …

Few-shot object detection: Application to medieval musicological studies

BIE Ibrahim, V Eyharabide, V Le Page, F Billiet - Journal of Imaging, 2022 - mdpi.com
Detecting objects with a small representation in images is a challenging task, especially
when the style of the images is very different from recent photos, which is the case for …

Multiple adversarial domains adaptation approach for mitigating adversarial attacks effects

B Rasheed, A Khan, M Ahmad… - … on Electrical Energy …, 2022 - Wiley Online Library
Although neural networks are near achieving performance similar to humans in many tasks,
they are susceptible to adversarial attacks in the form of a small, intentionally designed …

Adversarial domain adaptation for medieval instrument recognition

IEI Bekkouch, ND Constantin, V Eyharabide… - Intelligent Systems and …, 2022 - Springer
Image classification models have improved drastically due to neural networks. But as a
direct consequence of being trained on a specific dataset, neural networks tend to be biased …

Auxiliary learning & Adversarial training for Medieval Manuscript Studies

IEI Bekkouch - 2024 - theses.hal.science
This thesis is at the intersection of musicology and artificial intelligence, aiming to leverage
AI to help musicologists with repetitive work, such as object searching in the museum's …

用於領域泛化之具有輔助語義學習的特徵空間中之風格替換

CH Chang - 清華大學資訊工程學系所學位論文, 2021 - airitilibrary.com
The generalization ability of deep neural network model is a crucial issue in real-world
applications when dealing with new data. Domain generalization relies on data of multiple …

What augmentations are sensitive to hyper-parameters and why?

CM Awais, IEI Bekkouch, AM Khan - Science and Information Conference, 2022 - Springer
We apply augmentations to our dataset to enhance the quality of our predictions and make
our final models more resilient to noisy data and domain drifts. Yet the question remains …

What Augmentations are Sensitive to Hyper-Parameters and Why?

AM Khan - Intelligent Computing: Proceedings of the 2022 …, 2022 - books.google.com
We apply augmentations to our dataset to enhance the quality of our predictions and make
our final models more resilient to noisy data and domain drifts. Yet the question remains …