| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1775 | 2018 |
| Brain tumor segmentation and tractographic feature extraction from structural mr images for overall survival prediction PY Kao, T Ngo, A Zhang, JW Chen, BS Manjunath International MICCAI Brainlesion Workshop, 128-141, 2018 | 107 | 2018 |
| Improving patch-based convolutional neural networks for MRI brain tumor segmentation by leveraging location information PY Kao, S Shailja, J Jiang, A Zhang, A Khan, JW Chen, BS Manjunath Frontiers in neuroscience 13, 1449, 2020 | 70 | 2020 |
| Accurate 3D Cell Segmentation using Deep Feature and CRF Refinement J Jiang, PY Kao, SA Belteton, DB Szymanski, BS Manjunath 2019 IEEE International Conference on Image Processing (ICIP), 1555-1559, 2019 | 17 | 2019 |
| Exploring the advantages of quantum generative adversarial networks in generative chemistry PY Kao, YC Yang, WY Chiang, JY Hsiao, Y Cao, A Aliper, F Ren, ... Journal of Chemical Information and Modeling 63 (11), 3307-3318, 2023 | 15 | 2023 |
| Toward drug-target interaction prediction via ensemble modeling and transfer learning PY Kao, SM Kao, NL Huang, YC Lin 2021 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2021 | 12 | 2021 |
| Improving 3d u-net for brain tumor segmentation by utilizing lesion prior PY Kao, JW Chen, BS Manjunath arXiv preprint arXiv:1907.00281, 2019 | 11 | 2019 |
| Predicting clinical outcome of stroke patients with tractographic feature PY Kao, JW Chen, BS Manjunath Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 6 | 2020 |
| Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet PY Kao, A Zhang, M Goebel, JW Chen, BS Manjunath Adolescent Brain Cognitive Development Neurocognitive Prediction. ABCD-NP …, 2019 | 6 | 2019 |
| Automated segmentation of CT scans for normal pressure hydrocephalus A Zhang, PY Kao, R Sahyouni, A Shelat, J Chen, BS Manjunath arXiv preprint arXiv:1901.09088, 2019 | 3 | 2019 |
| Unsupervised 3-D feature learning for mild traumatic brain injury PY Kao, E Rojas, JW Chen, A Zhang, BS Manjunath International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke …, 2016 | 3 | 2016 |
| pykao/CT2MNI152: First release of the CT to MNI 152 space registration tool PY Kao https://doi.org/10.5281/zenodo.3572912, 2019 | | 2019 |
| Improving Patch-Based Convolutional Neural Networks for MRI Brain Tumor PY Kao, S Shailja, J Jiang | | 2019 |
| Integrating Brain Connectome and Lesion Data for Patient Outcome Prediction PY Kao University of California, Santa Barbara, 2019 | | 2019 |
B.S. ManjunathDistinguished Professor, Electrical & Computer Engineering, University of California, Santa BarbaraVerified email at ece.ucsb.edu
