| Deep learning using a biophysical model for robust and accelerated reconstruction of quantitative, artifactfree and denoised images M Torop, SVVN Kothapalli, Y Sun, J Liu, S Kahali, DA Yablonskiy, ... Magnetic resonance in medicine 84 (6), 2932-2942, 2020 | 19 | 2020 |
| Boundary-Aware Uncertainty for Feature Attribution Explainers D Hill, A Masoomi, M Torop, S Ghimire, J Dy International Conference on Artificial Intelligence and Statistics, 55-63, 2024 | 5* | 2024 |
| Deep learning utilizing suboptimal spirometry data to improve lung function and mortality prediction in the UK Biobank D Hill, M Torop, A Masoomi, PJ Castaldi, EK Silverman, S Bodduluri, ... medRxiv, 2023 | 4 | 2023 |
| Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection M Torop, S Ghimire, W Liu, DH Brooks, O Camps, M Rajadhyaksha, J Dy, ... arXiv preprint arXiv:2111.04807, 2021 | 2 | 2021 |
| Towards Visually Interpreting Variational Autoencoders R Li, W Liu, M Zheng, M Torop, M Rajadhyaksha, J Dy, K Kose, ... | | 2024 |
| SmoothHess: ReLU network feature interactions via stein's lemma M Torop, A Masoomi, D Hill, K Kose, S Ioannidis, J Dy Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Deep Learning Utilizing Discarded Spirometry Data to Improve Lung Function and Mortality Prediction in the UK Biobank D Hill, M Torop, A Masoomi, PJ Castaldi, J Dy, MH Cho, BD Hobbs A95. THE IDEA GENERATOR: NOVEL RISK FACTORS AND FRESH APPROACHES TO DISEASE …, 2022 | | 2022 |
| Unsupervised representation learning for detecting out of distribution samples in dermoscopy images of eight types of skin lesions M Torop, W Liu, DH Brooks, M Rajadhyaksha, JG Dy, O Camps, ... Photonics in Dermatology and Plastic Surgery 2022, PC119340H, 2022 | | 2022 |
| Deep learning using a biophysical model for Robust and Accelerated Reconstruction (RoAR) of quantitative, artifact-free and denoised R 2 images M Torop, SVVN Kothapalli, Y Sun, J Liu, S Kahali, DA Yablonskiy, ... arXiv preprint arXiv:1912.07087, 2019 | | 2019 |
Jennifer DyElectrical and Computer Engineering, Northeastern University在 ece.neu.edu 的电子邮件经过验证
