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Ziyu Su
Ziyu Su
Center for Artificial Intelligence Research, Wake Forest University
Verified email at wakehealth.edu - Homepage
Title
Cited by
Cited by
Year
Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images
Z Su, TE Tavolara, G Carreno-Galeano, SJ Lee, MN Gurcan, MKK Niazi
Medical Image Analysis 79, 102462, 2022
292022
NRK-ABMIL: Subtle Metastatic Deposits Detection for Predicting Lymph Node Metastasis in Breast Cancer Whole-Slide Images
U Sajjad, M Rezapour, Z Su, GH Tozbikian, MN Gurcan, MKK Niazi
Cancers 15 (13), 3428, 2023
32023
One label is all you need: Interpretable AI-enhanced histopathology for oncology
TE Tavolara, Z Su, MN Gurcan, MKK Niazi
Seminars in Cancer Biology, 2023
22023
BCR-Net: A deep learning framework to predict breast cancer recurrence from histopathology images
Z Su, MKK Niazi, TE Tavolara, S Niu, GH Tozbikian, R Wesolowski, ...
Plos one 18 (4), e0283562, 2023
22023
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images
Z Su, M Rezapour, U Sajjad, MN Gurcan, MKK Niazi
Computers in Biology and Medicine 167 (0010-4825), 107607, 2023
12023
Cross-attention-based saliency inference for predicting cancer metastasis on whole slide images
Z Su, M Rezapour, U Sajjad, S Niu, MN Gurcan, MKK Niazi
arXiv preprint arXiv:2309.09412, 2023
12023
Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models
Z Su, S Kumar, TE Tavolara, MN Gurcan, S Segal, MKK Niazi
Medical Imaging 2023: Computer-Aided Diagnosis 12465, 637-642, 2023
2023
Shamap: Shape-based Manifold Learning
F Fan, Z Su, Y Teng, G Wang
arXiv preprint arXiv:1802.05386, 2018
2018
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Articles 1–8