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AutoML for Multi-Label Classification: Overview and Empirical Evaluation.
In IEEE transactions on pattern analysis and machine intelligence ; h5-index 127.0
Wever Marcel, Tornede Alexander, Mohr Felix, Hullermeier Eyke
2021-Jan-13

A Novel Multi-Ensemble Method for Identifying Essential Proteins.
In Journal of computational biology : a journal of computational molecular cell biology
Dai Wei, Chen Bingxi, Peng Wei, Li Xia, Zhong Jiancheng, Wang Jianxin
2021-Jan-13
ensemble learning, essential proteins, multi-ensemble, multi-view learning
Machine Learning Frameworks to Predict Neoadjuvant Chemotherapy Response in Breast Cancer Using Clinical and Pathological Features.
In JCO clinical cancer informatics
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Meti Nicholas, Saednia Khadijeh, Lagree Andrew, Tabbarah Sami, Mohebpour Majid, Kiss Alex, Lu Fang-I, Slodkowska Elzbieta, Gandhi Sonal, Jerzak Katarzyna Joanna, Fleshner Lauren, Law Ethan, Sadeghi-Naini Ali, Tran William T
2021-Jan
Artificial Intelligence Clinical Evidence Engine for Automatic Identification, Prioritization, and Extraction of Relevant Clinical Oncology Research.
In JCO clinical cancer informatics
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Saiz Fernando Suarez, Sanders Corey, Stevens Rick, Nielsen Robert, Britt Michael, Yuravlivker Leemor, Preininger Anita M, Jackson Gretchen P
2021-Jan

An enhanced deep image model for glaucoma diagnosis using feature-based detection in retinal fundus.
In Medical & biological engineering & computing ; h5-index 32.0
Singh Law Kumar, Pooja Garg, Hitendra Khanna, Munish Bhadoria
2021-Jan-13
Cup-to-disc ratio, Glaucoma diagnosis, Inferior superior nasal temporal (ISNT) regions, Machine learning, Retinal fundus image
Automated segmentation of kidney and renal mass and automated detection of renal mass in CT urography using 3D U-Net-based deep convolutional neural network.
In European radiology ; h5-index 62.0
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Lin Zhiyong, Cui Yingpu, Liu Jia, Sun Zhaonan, Ma Shuai, Zhang Xiaodong, Wang Xiaoying
2021-Jan-13
Computer-assisted diagnosis, Deep learning, Kidney, Renal neoplasm, Tomography, X-ray computed
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