| Deep learning using a biophysical model for robust and accelerated reconstruction of quantitative, artifact‐free and denoised images M Torop, SVVN Kothapalli, Y Sun, J Liu, S Kahali, DA Yablonskiy, ... Magnetic resonance in medicine 84 (6), 2932-2942, 2020 | 17 | 2020 |
| Explanation Uncertainty with Decision Boundary Awareness D Hill, A Masoomi, S Ghimire, M Torop, J Dy | 4 | 2022 |
| 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 | 2 | 2023 |
| 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 | 1 | 2024 |
| 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 | 1 | 2021 |
| 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 |
Jennifer DyElectrical and Computer Engineering, Northeastern UniversityVerified email at ece.neu.edu
