1 citations · 1 across the 6 of their papers we have counts for
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Interpretable Tile-Based Classification of Paclitaxel Exposure
Sean Fletcher, Gabby Scott, Douglas Currie +3
Medical image analysis is central to drug discovery and preclinical evaluation, where scalable, objective readouts can accelerate decision-making. We address classification of pacl…
A Dual-Branch CNN for Robust Detection of AI-Generated Facial Forgeries
Xin Zhang, Yuqi Song, Fei Zuo
The rapid advancement of generative AI has enabled the creation of highly realistic forged facial images, posing significant threats to AI security, digital media integrity, and pu…
Deep Learning for Taxol Exposure Analysis: A New Cell Image Dataset and Attention-Based Baseline Model
Sean Fletcher, Gabby Scott, Douglas Currie +3
Monitoring the effects of the chemotherapeutic agent Taxol at the cellular level is critical for both clinical evaluation and biomedical research. However, existing detection metho…
Revising the Problem of Partial Labels from the Perspective of CNNs' Robustness
Xin Zhang, Yuqi Song, Wyatt McCurdy +2
Convolutional neural networks (CNNs) have gained increasing popularity and versatility in recent decades, finding applications in diverse domains. These remarkable achievements are…
An Effective Approach for Multi-label Classification with Missing Labels
Xin Zhang, Rabab Abdelfattah, Yuqi Song +1
Compared with multi-class classification, multi-label classification that contains more than one class is more suitable in real life scenarios. Obtaining fully labeled high-quality…
Depth Monocular Estimation with Attention-based Encoder-Decoder Network from Single Image
Xin Zhang, Rabab Abdelfattah, Yuqi Song +2
Depth information is the foundation of perception, essential for autonomous driving, robotics, and other source-constrained applications. Promptly obtaining accurate and efficient…