| Evaluating deep neural networks trained on clinical images in dermatology with the fitzpatrick 17k dataset M Groh, C Harris, L Soenksen, F Lau, R Han, A Kim, A Koochek, O Badri Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 122 | 2021 |
| Automated lesion detection, segmentation, and longitudinal identification TA Taerum, HK Lau, S Sall, M Le, J Axerio-Cilies, DI Golden, ... US Patent App. 16/617,882, 2020 | 101 | 2020 |
| FastVentricle: cardiac segmentation with ENet J Lieman-Sifry, M Le, F Lau, S Sall, D Golden International Conference on Functional Imaging and Modeling of the Heart …, 2017 | 71 | 2017 |
| Automated segmentation utilizing fully convolutional networks DI Golden, M Le, J Lieman-Sifry, HK Lau US Patent 10,600,184, 2020 | 66 | 2020 |
| ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans F Lau, T Hendriks, J Lieman-Sifry, S Sall, D Golden Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 41 | 2018 |
| Automated segmentation utilizing fully convolutional networks DI Golden, M Le, J Lieman-Sifry, HK Lau US Patent 10,902,598, 2021 | 36 | 2021 |
| Automated segmentation utilizing fully convolutional networks DI Golden, M Le, J Lieman-Sifry, HK Lau US Patent App. 16/800,922, 2020 | 30 | 2020 |
| Computationally efficient cardiac views projection using 3D convolutional neural networks M Le, J Lieman-Sifry, F Lau, S Sall, A Hsiao, D Golden Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 13 | 2017 |
| On the state of data in computer vision: Human annotations remain indispensable for developing deep learning models Z Emam, A Kondrich, S Harrison, F Lau, Y Wang, A Kim, E Branson arXiv preprint arXiv:2108.00114, 2021 | 10 | 2021 |
| Functional Imaging and Modelling of the Heart J Lieman-Sifry, M Le, F Lau, S Sall, D Golden FIMH 2017. Lecture Notes in Computer Science 10263, 127-138, 2017 | 8 | 2017 |
| Natural adversarial objects F Lau, N Subramani, S Harrison, A Kim, E Branson, R Liu arXiv preprint arXiv:2111.04204, 2021 | 6 | 2021 |
| Evaluating deep neural networks trained on clinical images in dermatology with the fitzpatrick 17k dataset. In 2021 IEEE M Groh, C Harris, L Soenksen, F Lau, R Han, A Kim, A Koochek, O Badri CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 10, 1828 | 6 | 1828 |
| Deep learning-based coregistration BD Norman, SP Sall, J Lieman-Sifry, M Simonovsky, DI Golden, HK Lau US Patent App. 17/270,810, 2021 | 3 | 2021 |
| Simulating abnormalities in medical images with generative adversarial networks HK Lau, J Lieman-Sifry, SP Sall, BD Norman, DI Golden, J Axerio-Cilies, ... US Patent 11,854,703, 2023 | | 2023 |
| Deep learning-based eddy current correction BD Norman, J Lieman-Sifry, SP Sall, DI Golden, HK Lau US Patent App. 17/430,293, 2022 | | 2022 |
| AUTOMATED SEGMENTATION USING FULLY CONVOLUTIVE NETWORKS DI GOLDEN, LE Matthieu, J LIEMAN-SIFRY, HK LAU | | 2020 |
| Automated Liver Lesion Segmentation with Convolutional Neural Networks S Sall, J Lieman-Sifry, F Lau, D Golden HEPATOLOGY 68, 186A-186A, 2018 | | 2018 |
| DeepVentricle: A Fully Convolutional Neural Network for Automating Functional Measurements in Cardiac MR HK Lau, J Lieman-Sifry, M Le, S Sall, J Axerio-Cilies, D Fleischmann, ... | | |
| A Fully Convolutional Neural Network for 3D Volumetric Liver Lesion Segmentation S Sall, A Krishnan, J Lieman-Sifry, F Lau, M Le, M DiDonato, A Hsiao, ... | | |
| Real-World Clinical Performance of Deep Learning for Quantification and Segmentation of Biventricular Cardiac Size and Function T Retson, E Masutani, C Chen, J Lieman-Sifry, F Lau, M Le, S Sall, ... | | |
