Ziyu Su

According to our database, Ziyu Su authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images.

Ziyu Su, Mostafa Rezapour, Usama Sajjad, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi

Comput. Biol. Medicine, December, 2023

Cross-attention-based saliency inference for predicting cancer metastasis on whole slide images.

Ziyu Su, Mostafa Rezapour, Usama Sajjad, Shuo Niu, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi

CoRR, 2023

Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models.

Ziyu Su, Sandhya Kumar, Thomas E. Tavolara, Metin N. Gurcan, Scott Segal, M. Khalid Khan Niazi

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022

Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images.

Ziyu Su, Thomas E. Tavolara, Gabriel Carreno-Galeano, Sang Jin Lee, Metin N. Gurcan, M. Khalid Khan Niazi

Medical Image Anal., 2022

Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge.

Matthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, Markus Hüllebrand, Jan Brüning, Tabea Kossen, Boris Pfahringer, Jens Schaller, Andreas Spuler, Titus Kühne, Yizhuan Jia, Xuesong Li, Suprosanna Shit, Bjoern H. Menze, Ziyu Su, Jun Ma, Ziwei Nie, Kartik Jain, Yanfei Liu, Yi Lin, Anja Hennemuth

Medical Image Anal., 2022

2020

3D Attention U-Net with Pretraining: A Solution to CADA-Aneurysm Segmentation Challenge.

Ziyu Su, Yizhuan Jia, Weibin Liao, Yi Lv, Jiaqi Dou, Zhongwei Sun, Xuesong Li

Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

Detect and Identify Aneurysms Based on Adjusted 3D Attention UNet.

Yizhuan Jia, Weibin Liao, Yi Lv, Ziyu Su, Jiaqi Dou, Zhongwei Sun, Xuesong Li

Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020