Year |
Citation |
Score |
2023 |
Xing X, Liang G, Wang C, Jacobs N, Lin AL. Self-Supervised Learning Application on COVID-19 Chest X-ray Image Classification Using Masked AutoEncoder. Bioengineering (Basel, Switzerland). 10. PMID 37627786 DOI: 10.3390/bioengineering10080901 |
0.789 |
|
2023 |
Xing X, Rafique MU, Liang G, Blanton H, Zhang Y, Wang C, Jacobs N, Lin AL. Efficient Training on Alzheimer's Disease Diagnosis with Learnable Weighted Pooling for 3D PET Brain Image Classification. Electronics. 12. PMID 36778519 DOI: 10.3390/electronics12020467 |
0.772 |
|
2022 |
Liang G, Ganesh H, Steffe D, Liu L, Jacobs N, Zhang J. Development of CNN models for the enteral feeding tube positioning assessment on a small scale data set. Bmc Medical Imaging. 22: 52. PMID 35317725 DOI: 10.1186/s12880-022-00766-w |
0.722 |
|
2021 |
Xing X, Liang G, Blanton H, Rafique MU, Wang C, Lin AL, Jacobs N. Dynamic Image for 3D MRI Image Alzheimer's Disease Classification. Computer Vision - Eccv ... : ... European Conference On Computer Vision : Proceedings. European Conference On Computer Vision. 12535: 355-364. PMID 37283785 DOI: 10.1007/978-3-030-66415-2_23 |
0.777 |
|
2021 |
Ying Q, Xing X, Liu L, Lin AL, Jacobs N, Liang G. Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2021: 3586-3591. PMID 34892014 DOI: 10.1109/EMBC46164.2021.9630174 |
0.748 |
|
2021 |
Liang G, Xing X, Liu L, Zhang Y, Ying Q, Lin AL, Jacobs N. Alzheimer's Disease Classification Using 2D Convolutional Neural Networks. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2021: 3008-3012. PMID 34891877 DOI: 10.1109/EMBC46164.2021.9629587 |
0.79 |
|
2021 |
Liang G, Greenwell C, Zhang Y, Xing X, Wang X, Kavuluru R, Jacobs N. Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging. Ieee Journal of Biomedical and Health Informatics. PMID 34495856 DOI: 10.1109/JBHI.2021.3110805 |
0.769 |
|
2020 |
Liang G, Wang X, Zhang Y, Jacobs N. Weakly-Supervised Self-Training for Breast Cancer Localization. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 1124-1127. PMID 33018184 DOI: 10.1109/EMBC44109.2020.9176617 |
0.779 |
|
2020 |
Hammond TC, Xing X, Wang C, Ma D, Nho K, Crane PK, Elahi F, Ziegler DA, Liang G, Cheng Q, Yanckello LM, Jacobs N, Lin AL. β-amyloid and tau drive early Alzheimer's disease decline while glucose hypometabolism drives late decline. Communications Biology. 3: 352. PMID 32632135 DOI: 10.1038/s42003-020-1079-x |
0.718 |
|
2020 |
Wang X, Liang G, Zhang Y, Blanton H, Bessinger Z, Jacobs N. Inconsistent Performance of Deep Learning Models on Mammogram Classification. Journal of the American College of Radiology : Jacr. PMID 32068005 DOI: 10.1016/J.Jacr.2020.01.006 |
0.589 |
|
2020 |
Maretto RV, Fonseca LMG, Jacobs N, Korting TS, Bendini HN, Parente LL. Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest Ieee Geoscience and Remote Sensing Letters. 1-5. DOI: 10.1109/Lgrs.2020.2986407 |
0.44 |
|
2019 |
Mihail RP, Liang G, Jacobs N. Automatic Hand Skeletal Shape Estimation from Radiographs. Ieee Transactions On Nanobioscience. PMID 30990432 DOI: 10.1109/Tnb.2019.2911026 |
0.755 |
|
2019 |
Hamraz H, Jacobs NB, Contreras MA, Clark CH. Deep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees Isprs Journal of Photogrammetry and Remote Sensing. 158: 219-230. DOI: 10.1016/J.Isprsjprs.2019.10.011 |
0.557 |
|
2019 |
Sajid H, Cheung SS, Jacobs N. Motion and appearance based background subtraction for freely moving cameras Signal Processing-Image Communication. 75: 11-21. DOI: 10.1016/J.Image.2019.03.003 |
0.417 |
|
2018 |
Zhang X, Zhang Y, Han EY, Jacobs N, Han Q, Wang X, Liu J. Classification of whole mammogram and tomosynthesis images using deep convolutional neural networks. Ieee Transactions On Nanobioscience. PMID 29994219 DOI: 10.1109/Tnb.2018.2845103 |
0.525 |
|
2018 |
Jones D, Bopaiah J, Alghamedy F, Jacobs N, Weiss HL, de Jong WA, Ellingson SR. Polypharmacology Within the Full Kinome: a Machine Learning Approach. Amia Joint Summits On Translational Science Proceedings. Amia Joint Summits On Translational Science. 2017: 98-107. PMID 29888050 |
0.344 |
|
2016 |
Jacobs N, Workman S, Souvenir R. Cloudmaps from static ground-view video Image and Vision Computing. 52: 154-166. DOI: 10.1016/J.Imavis.2016.05.013 |
0.403 |
|
2016 |
Sajid H, Cheung ScS, Jacobs N. Appearance based background subtraction for PTZ cameras Signal Processing: Image Communication. 47: 417-425. DOI: 10.1016/J.Image.2016.07.008 |
0.521 |
|
2015 |
Islam MT, Greenwell C, Souvenir R, Jacobs N. Large-scale geo-facial image analysis Eurasip Journal On Image and Video Processing. 2015. DOI: 10.1186/S13640-015-0070-9 |
0.429 |
|
2013 |
Jacobs N, Abrams A, Pless R. Two cloud-based cues for estimating scene structure and camera calibration Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 2526-2538. PMID 23969394 DOI: 10.1109/Tpami.2013.55 |
0.623 |
|
2008 |
Jacobs N, Pless R. Time Scales in Video Surveillance Ieee Transactions On Circuits and Systems For Video Technology. 18: 1106-1113. DOI: 10.1109/Tcsvt.2008.928215 |
0.627 |
|
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