N. Yakubova

发表

fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.

Michael Rabbat, Daniel K Sodickson, Krzysztof J. Geras, 2020, Radiology. Artificial intelligence.

Diabetic retinopathy is associated with bone marrow neuropathy and a depressed peripheral clock

M. Boulton, N. Yakubova, S. L. Calzi, 2009, The Journal of experimental medicine.

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge

Aaron Defazio, C. Lawrence Zitnick, Michael Rabbat, 2020, Magnetic resonance in medicine.

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction pdf

Jean-Luc Starck, Philippe Ciuciu, Dosik Hwang, 2021, IEEE Transactions on Medical Imaging.

Expression, purification, crystallization and preliminary X-ray studies of Vibrio cholerae pseudopilin EpsH.

W. Wedemeyer, N. Yakubova, D. Arvidson, 2009, Acta crystallographica. Section F, Structural biology and crystallization communications.

State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge

Jean-Luc Starck, Anuroop Sriram, Y. Lui, 2020, ArXiv.

Learning interpretable cellular responses to complex perturbations in high-throughput screens

Fabian J Theis, David Lopez-Paz, F. A. Wolf, 2021, bioRxiv.

Compositional perturbation autoencoder for single-cell response modeling

Fabian J Theis, David Lopez-Paz, F. A. Wolf, 2021 .

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI pdf

Pascal Vincent, James Pinkerton, Duo Wang, 2018, ArXiv.

Using Deep Learning to Accelerate Knee MRI at 3T: Results of an Interchangeability Study.

Daniel K Sodickson, Aaron Defazio, Florian Knoll, 2020, AJR. American journal of roentgenology.

Predicting cellular responses to complex perturbations in high‐throughput screens

Fabian J Theis, Beth K. Martin, J. Shendure, 2023, Molecular systems biology.

Compositional perturbation autoencoder for single-cell response modeling

Fabian J Theis, David Lopez-Paz, F. A. Wolf, 2021 .

End-to-End Variational Networks for Accelerated MRI Reconstruction pdf

Aaron Defazio, C. Lawrence Zitnick, Anuroop Sriram, 2020, MICCAI.

COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction

Farah E. Shamout, Krzysztof J. Geras, Anuroop Sriram, 2021, ArXiv.

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge

Michael G. Rabbat, C. L. Zitnick, Aaron Defazio, 2020, Magnetic resonance in medicine.

COVID-19 Deterioration Prediction via Self-Supervised Representation Learning and Multi-Image Prediction.

Joelle Pineau, Farah E. Shamout, Krzysztof J. Geras, 2021, ArXiv.

Diabetic retinopathy is associated with bone marrow neuropathy and a depressed peripheral clock

M. Boulton, N. Yakubova, S. L. Calzi, 2009, Journal of Experimental Medicine.

Diabetic retinopathy is associated with bone marrow neuropathy and a depressed peripheral clock

M. Boulton, N. Yakubova, S. L. Calzi, 2009, The Journal of experimental medicine.

On the possibility of determination of stereological characteristics of interactions of biological micro objects with nanoparticles based on analysis of 2-dimensional images of cytological and histological specimens

V. N. Karnaukhov, A. V. Karnaukhov, N. Yakubova, 2013, Biofizika.