Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation

A survey on transfer learning

S. J. Pan and Q. Yang · 2010

Earlier work this paper cites.

Causes and consequences of cerebral small vessel disease. The RUN DMC study: a prospective cohort study. Study rationale and protocol

A. G. van Norden, K. F. de Laat, R. A. Gons, I. W. van Uden, E. J. van Dijk, L. J. van Oudheusden, R. A. Esselink, B. R. Bloem, B. G. van Engelen, M. J. Zwarts, I. Tendolkar, M. G. Olde-Rikkert, M. J. van der Vlugt, M. P. Zwiers, D. G. Norris, and F. E. de Leeuw · 2011

Earlier work this paper cites.

Adam: A method for stochastic optimization

Original

D. Kingma and J. Ba · 2014

Earlier work this paper cites.

Transfer learning improves supervised image segmentation across imaging protocols

A. Van Opbroek, M A. Ikram, M. W Vernooij, and M. De Bruijne · 2015

Earlier work this paper cites.

Delving deep into rectifiers: Surpassing human-level performance on imagenet classification

Original

K. He, X. Zhang, S. Ren, and J. Sun · 2015

Earlier work this paper cites.

Location sensitive deep convolutional neural networks for segmentation of white matter hyperintensities

Original

M. Ghafoorian, N. Karssemeijer, T. Heskes, I. van Uden, C. Sanchez, G. Litjens, F. de Leeuw, B. van Ginneken, E. Marchiori, and B. Platel · 2016

Cited alongside, same era.

Automatic detection of cerebral microbleeds from mr images via 3d convolutional neural networks

Q. Dou, H. Chen, L. Yu, L. Zhao, J. Qin, D. Wang, V. CT Mok, L. Shi, and P. A. Heng · 2016

Cited alongside, same era.

Convolutional neural networks for medical image analysis: full training or fine tuning?

N. Tajbakhsh, J. Y Shin, S. R Gurudu, R Todd Hurst, Christopher B Kendall, Michael B Gotway, and Jianming Liang · 2016

Cited alongside, same era.

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

H. C. Shin, H. R. Roth, M. Gao, L. Lu, Z. Xu, I. Nogues, J. Yao, D. Mollura, and R. M. Summers · 2016

Cited alongside, same era.

Automated detection of white matter hyperintensities of all sizes in cerebral small vessel disease

A survey on deep learning in medical image analysis

Original

G. Litjens, T. Kooi, B. Ehteshami Bejnordi, A. A. A. Setio, F. Ciompi, M. Ghafoorian, Jeroen A. W. M. van der Laak, B. van Ginneken, and C. I. Sánchez · 2017

Closest in time.

Efficient multi-scale 3d cnn with fully connected crf for accurate brain lesion segmentation

K. Kamnitsas, C. Ledig, V. Newcombe, J. P. Simpson, A. D. Kane, D. K. Menon, D. Rueckert, and B. Glocker · 2017

Closest in time.

Deep multi-scale location-aware 3d convolutional neural networks for automated detection of lacunes of presumed vascular origin

M. Ghafoorian, N. Karssemeijer, T. Heskes, M. Bergkamp, J. Wissink, J. Obels, K. Keizer, de Leeuw F.E, B. van Ginneken, E. Marchiori, and B. Platel · 2017

Closest in time.

Transfer learning for multi-center classification of chronic obstructive pulmonary disease

Original

V. Cheplygina, I. P. Pena, J. H. Pedersen, D. A Lynch, L. Sørensen, and M. de Bruijne · 2017

Closest in time.