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8. Zelin Zhang, Sara Arabyarmohammadi, Patrick Leo, Howard Meyerson, Leland Metheny, Jun Xu, Anant Madabhushi, Automatic Myeloblast Segmentation in Acute Myeloid Leukemia Images based on Adversarial Feature Learning, Computer Methods and Programs in Biomedicine, 2023.[Link to paper]
9. Yifan Gao, Jun Li, Xinyue Chang, Yulong Zhang, Riqing Chen, Changcai Yang, Yi Wei, Heng Dong, Lifang Wei, Morphological Guided Causal Constraint Network for Medical Image MultiObject Segmentation, IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2023: 516-521.[Link to paper]
10. Weiyi Yang, Di Wang, Wei Fan, Gong Zhang, Chunying Li, Tong Liu, Automated atrial fibrillation and ventricular fibrillation recognition using a multi-angle dual-channel fusion network, Artificial intelligence in medicine, 2023, 145, 102680. [Link to paper]
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12. Weiyi Yang, Wei Fan, Di Wang, Samantha Latremouille, Guilherme Mendes Sant'Anna, Wissam Shalish, Robert E. Kearney, Detection of differences of cardiorespiratory metrics between non-invasive respiratory support modes using machine learning methods, Biomedical signal processing and control, 2023, 85, 105028.[Link to paper]
13. Fuyu Li, Wenlong Ming, Wenxiang Lu, Ying Wang, Xiaohan Li, Xianjun Dong, Yunfei Bai, FLED: a full-length eccDNA detector for long-reads sequencing data, Briefings in Bioinformatics, 2023 Sep 22; 24(6): bbad388.[Link to paper]
14. Markus Wennmann, Wenlong Ming, Fabian Bauer, Jiri Chmelik, André Klein, Charlotte Uhlenbrock, Martin Grözinger, Kim-Celine Kahl, Tobias Nonnenmacher, Manuel Debic, Thomas Hielscher, Heidi Thierjung, Lukas T. Rotkopf, Nikolas Stanczyk, Sandra Sauer, Anna Jauch, Michael Götz, Felix T. Kurz, Kai Schlamp, Marius Horger, Saif Afat, Britta Besemer, Martin Hoffmann, Johannes Hoffend, Doris Kraemer, Ullrich Graeven, Adrian Ringelstein, David Bonekamp, Jens Kleesiek, Ralf O. Floca, Jens Hillengass, Elias K. Mai, Niels Weinhold, Tim F. Weber, Hartmut Goldschmidt, Heinz-Peter Schlemmer, Klaus Maier-Hein, Stefan Delorme, Peter Neher, Prediction of bone marrow biopsy results from MRI in multiple myeloma patients using deep learning and radiomics, Investigative Radiology, 2023 Oct 1; 58(10): 754-765.[Link to paper]
