| Inconsistent performance of deep learning models on mammogram classification X Wang, G Liang, Y Zhang, H Blanton, Z Bessinger, N Jacobs Journal of the American College of Radiology 17 (6), 796-803, 2020 | 149 | 2020 |
| Improved trainable calibration method for neural networks on medical imaging classification G Liang, Y Zhang, X Wang, N Jacobs British Machine Vision Conference (BMVC) 2020, 2020 | 64 | 2020 |
| Joint 2D-3D Breast Cancer Classification G Liang, X Wang, Y Zhang, X Xing, H Blanton, T Salem, N Jacobs 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 40 | 2019 |
| 2d convolutional neural networks for 3d digital breast tomosynthesis classification Y Zhang, X Wang, H Blanton, G Liang, X Xing, N Jacobs 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 31 | 2019 |
| ADViT: Vision Transformer on Multi-modality PET Images for Alzheimer Disease Diagnosis Xin Xing, Gongbo Liang, Yu Zhang, Subash Khanal, Ai-Ling Lin, Nathan Jacobs IEEE International Symposium on Biomedical Imaging (ISBI), 2022 | 30 | 2022 |
| Alzheimer’s disease classification using 2d convolutional neural networks G Liang, X Xing, L Liu, Y Zhang, Q Ying, AL Lin, N Jacobs 2021 43rd annual international conference of the ieee engineering in …, 2021 | 30 | 2021 |
| A deep learning view of the census of galaxy clusters in IllustrisTNG Y Su, Y Zhang, G Liang, JA ZuHone, DJ Barnes, NB Jacobs, M Ntampaka, ... Monthly Notices of the Royal Astronomical Society 498 (4), 5620-5628, 2020 | 30 | 2020 |
| Defense-PointNet: Protecting PointNet Against Adversarial Attacks Y Zhang, G Liang, T Salem, N Jacobs 2019 IEEE International Conference on Big Data (Big Data), 5654-5660, 2019 | 30 | 2019 |
| Weakly-Supervised Self-Training for Breast Cancer Localization* G Liang, X Wang, Y Zhang, N Jacobs 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 23 | 2020 |
| Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging G Liang, C Greenwell, Y Zhang, X Xing, X Wang, R Kavuluru, N Jacobs IEEE Journal of Biomedical and Health Informatics, 2021 | 17 | 2021 |
| Efficient Training on Alzheimer’s Disease Diagnosis with Learnable Weighted Pooling for 3D PET Brain Image Classification X Xing, MU Rafique, G Liang, H Blanton, Y Zhang, C Wang, N Jacobs, ... Electronics 12 (2), 467, 2023 | 14 | 2023 |
| Dynamic Feature Alignment for Semi-supervised Domain Adaptation Y Zhang, G Liang, N Jacobs British Machine Vision Conference (BMVC) 2021, 2021 | 12 | 2021 |
| Estimating Cluster Masses from SDSS Multi-band Images with Transfer Learning Sheng-Chieh Lin, Yuanyuan Su, Gongbo Liang, Yuanyuan Zhang, Nathan Jacobs ... Monthly Notices of the Royal Astronomical Society (MNRAS), 2022 | 11* | 2022 |
| Multi-branch attention networks for classifying galaxy clusters Y Zhang, G Liang, Y Su, N Jacobs 2020 25th International Conference on Pattern Recognition (ICPR), 9643-9649, 2021 | 5 | 2021 |
| Neural Network Calibration for Medical Imaging Classification Using DCA Regularization G Liang, Y Zhang, N Jacobs ICML workshop on Uncertainty and Robustness in Deep Learning (UDL), 2020 | 4 | 2020 |
| StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation Z Xiong, F Qiao, Y Zhang, N Jacobs British Machine Vision Conference (BMVC) 2023, 2023 | 3 | 2023 |
| Unifying Guided and Unguided Outdoor Image Synthesis MU Rafique, Y Zhang, B Brodie, N Jacobs Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 3 | 2021 |
| Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate G Liang, Y Su, SC Lin, Y Zhang, Y Zhang, N Jacobs NeurIPS Workshop : Machine Learning and Physical Sciences, 2020, 2020 | 2 | 2020 |
| CrossSeg: Cross-Scene Few-Shot Aerial Segmentation using Probabilistic Prototypes Y Zhang, MU Rafique, N Jacobs IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023 | 1 | 2023 |
| CrossAdapt: Cross-Scene Adaptation for Multi-Domain Depth Estimation Y Zhang, MU Rafique, G Christie, N Jacobs IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023 | 1 | 2023 |
Nathan JacobsProfessor, Computer Science & Engineering, Washington University in St. Louis在 wustl.edu 的电子邮件经过验证
