| 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 | 141 | 2020 |
| β-amyloid and tau drive early Alzheimer’s disease decline while glucose hypometabolism drives late decline TC Hammond, X Xing, C Wang, D Ma, K Nho, PK Crane, F Elahi, ... Communications biology 3 (1), 352, 2020 | 89 | 2020 |
| Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification G Liang, Y Zhang, X Wang, N Jacobs 31st British Machine Vision Conference (BMVC), 2020 | 64 | 2020 |
| Dynamic Image for 3D MRI Image Alzheimer’s Disease Classification X Xing, G Liang, H Blanton, M Rafique, C Wang, AL Lin, N Jacobs European Conference on Computer Vision, 2020 | 45 | 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 | 39 | 2019 |
| GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement G Liang, F Sajjad, J Zhang, MA Brooks, N Jacobs, J Chen 2019 IEEE International Conference on Healthcare Informatics (ICHI), 2019 | 38 | 2019 |
| 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 | 31 | 2020 |
| 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 | 30 | 2019 |
| 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 | 27 | 2019 |
| Weakly-Supervised Self-Training Breast Cancer Localization G Liang, X Wang, Y Zhang, N Jacobs 42nd Annual International Conferences of the IEEE Engineering in Medicine …, 2020 | 24 | 2020 |
| Advit: Vision transformer on multi-modality pet images for alzheimer disease diagnosis X Xing, G Liang, Y Zhang, S Khanal, AL Lin, N Jacobs 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022 | 23 | 2022 |
| Automatic hand skeletal shape estimation from radiographs RP Mihail, G Liang, N Jacobs IEEE transactions on nanobioscience 18 (3), 296-305, 2019 | 23 | 2019 |
| Multi-Modal Data Analysis for Alzheimer’s Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Feature Q Ying, X Xing, L Liu, AL Lin, N Jacobs, G Liang 202143rd Annual International Conference of the IEEE Engineering in Medicine …, 2021 | 21 | 2021 |
| Alzheimer’s Disease Classification Using 2D Convolutional Neural Networks G Liang, X Xing, L Liu, Y Zhang, Q Ying, N Lin, Ai-Ling, Jacobs 202143rd Annual International Conference of the IEEE Engineering in Medicine …, 2021 | 21 | 2021 |
| 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 26 (4), 1640-1649, 2021 | 15 | 2021 |
| Dynamic Feature Alignment for Semi-supervised Domain Adaptation Z Yu, G Liang, N Jacobs 32nd British Machine Vision Conference (BMVC), 2021 | 12* | 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 | 11 | 2023 |
| LLRHNet: multiple lesions segmentation using local-long range features L Liu, Y Wang, J Chang, P Zhang, G Liang, H Zhang Frontiers in Neuroinformatics 16, 859973, 2022 | 10 | 2022 |
| Estimating cluster masses from SDSS multiband images with transfer learning SC Lin, Y Su, G Liang, Y Zhang, N Jacobs, Y Zhang Monthly Notices of the Royal Astronomical Society 512 (3), 3885-3894, 2022 | 9 | 2022 |
| A geometric framework for stop sign detection Q Li, G Liang, Y Gong 2015 IEEE China Summit and International Conference on Signal and …, 2015 | 8 | 2015 |
