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Max Torop
Max Torop
PhD Student, Northeastern University
Verified email at northeastern.edu - Homepage
Title
Cited by
Cited by
Year
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
102020
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
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
2021
Deep learning using a biophysical model for Robust and Accelerated Reconstruction (RoAR) of quantitative and artifact-free R2* images
M Torop, SVVN Kothapalli, Y Sun, J Liu, S Kahali, DA Yablonskiy, ...
arXiv preprint arXiv:1912.07087, 2019
2019
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Articles 1–5