Ni B - Search Results

1

Genopathomic profiling identifies signatures for immunotherapy response of lung adenocarcinoma via confounder-aware representation learning.

Deng J, Yang J, Hou L, Wu J, He Y, Zhao M, Ni B, Wei D, Pfister H, Zhou C, Jiang T, She Y, Wu C, Chen C. Deng J, et al. Among authors: ni b. iScience. 2022 Oct 17;25(11):105382. doi: 10.1016/j.isci.2022.105382. eCollection 2022 Nov 18. iScience. 2022. PMID: 36345339 Free PMC article.

2

Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning.

Zhao W, Yang J, Ni B, Bi D, Sun Y, Xu M, Zhu X, Li C, Jin L, Gao P, Wang P, Hua Y, Li M. Zhao W, et al. Among authors: ni b. Cancer Med. 2019 Jul;8(7):3532-3543. doi: 10.1002/cam4.2233. Epub 2019 May 10. Cancer Med. 2019. PMID: 31074592 Free PMC article.

3

Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet.

Jin L, Yang J, Kuang K, Ni B, Gao Y, Sun Y, Gao P, Ma W, Tan M, Kang H, Chen J, Li M. Jin L, et al. Among authors: ni b. EBioMedicine. 2020 Dec;62:103106. doi: 10.1016/j.ebiom.2020.103106. Epub 2020 Nov 10. EBioMedicine. 2020. PMID: 33186809 Free PMC article.

4

A multi-omics-based serial deep learning approach to predict clinical outcomes of single-agent anti-PD-1/PD-L1 immunotherapy in advanced stage non-small-cell lung cancer.

Yang Y, Yang J, Shen L, Chen J, Xia L, Ni B, Ge L, Wang Y, Lu S. Yang Y, et al. Among authors: ni b. Am J Transl Res. 2021 Feb 15;13(2):743-756. eCollection 2021. Am J Transl Res. 2021. PMID: 33594323 Free PMC article.

5

Prediction of future imagery of lung nodule as growth modeling with follow-up computed tomography scans using deep learning: a retrospective cohort study.

Tao G, Zhu L, Chen Q, Yin L, Li Y, Yang J, Ni B, Zhang Z, Koo CW, Patil PD, Chen Y, Yu H, Xu Y, Ye X. Tao G, et al. Among authors: ni b. Transl Lung Cancer Res. 2022 Feb;11(2):250-262. doi: 10.21037/tlcr-22-59. Transl Lung Cancer Res. 2022. PMID: 35280310 Free PMC article.

6

ViSTA: A Novel Network Improving Lung Adenocarcinoma Invasiveness Prediction from Follow-Up CT Series.

Zhao W, Sun Y, Kuang K, Yang J, Li G, Ni B, Jiang Y, Jiang B, Liu J, Li M. Zhao W, et al. Among authors: ni b. Cancers (Basel). 2022 Jul 28;14(15):3675. doi: 10.3390/cancers14153675. Cancers (Basel). 2022. PMID: 35954342 Free PMC article.

7

MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification.

Yang J, Shi R, Wei D, Liu Z, Zhao L, Ke B, Pfister H, Ni B. Yang J, et al. Among authors: ni b. Sci Data. 2023 Jan 19;10(1):41. doi: 10.1038/s41597-022-01721-8. Sci Data. 2023. PMID: 36658144 Free PMC article.

8

RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction.

Jin L, Gu S, Wei D, Adhinarta JK, Kuang K, Zhang YJ, Pfister H, Ni B, Yang J, Li M. Jin L, et al. Among authors: ni b. IEEE Trans Med Imaging. 2023 Sep 11;PP. doi: 10.1109/TMI.2023.3313627. Online ahead of print. IEEE Trans Med Imaging. 2023. PMID: 37695967

9

3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas.

Zhao W, Yang J, Sun Y, Li C, Wu W, Jin L, Yang Z, Ni B, Gao P, Wang P, Hua Y, Li M. Zhao W, et al. Among authors: ni b. Cancer Res. 2018 Dec 15;78(24):6881-6889. doi: 10.1158/0008-5472.CAN-18-0696. Epub 2018 Oct 2. Cancer Res. 2018. PMID: 30279243

10

Reinventing 2D Convolutions for 3D Images.

Yang J, Huang X, He Y, Xu J, Yang C, Xu G, Ni B. Yang J, et al. Among authors: ni b. IEEE J Biomed Health Inform. 2021 Aug;25(8):3009-3018. doi: 10.1109/JBHI.2021.3049452. Epub 2021 Aug 5. IEEE J Biomed Health Inform. 2021. PMID: 33406047

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