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Recently, we have witnessed great progress in the field of medical imaging classification by adopting deep neural networks.
Correcting sample selection bias by unlabeled data
J. Huang, A. Gretton, K. M. Borgwardt, B. Schölkopf, and A. J. Smola · 2006
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A color and texture based hierarchical k-nn approach to the classification of non-melanoma skin lesions
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Auto-encoding variational bayes
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Ph 2-a dermoscopic image database for research and benchmarking
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Domain generalization via invariant feature representation
K. Muandet, D. Balduzzi, and B. Schölkopf · 2013
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Multi-view discriminant transfer learning
P. Yang and W. Gao · 2013
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Exploiting low-rank structure from latent domains for domain generalization
Z. Xu, W. Li, L. Niu, and D. Xu · 2014
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M. Ghifary, W. Bastiaan Kleijn, M. Zhang, and D. Balduzzi · 2015
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Learning transferable features with deep adaptation networks
M. Long, Y. Cao, J. Wang, and M. Jordan · 2015
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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Multi-source domain adaptation: A causal view
K. Zhang, M. Gong, and B. Schölkopf · 2015
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Domain-adversarial training of neural networks
Y. Ganin, E. Ustinova, H. Ajakan, P. Germain, H. Larochelle, F. Laviolette, M. Marchand, and V. Lempitsky · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Unsupervised pixel-level domain adaptation with generative adversarial networks
K. Bousmalis, N. Silberman, D. Dohan, D. Erhan, and D. Krishnan · 2017
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Model-agnostic meta-learning for fast adaptation of deep networks
C. Finn, P. Abbeel, and S. Levine · 2017
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Scatter component analysis: A unified framework for domain adaptation and domain generalization
M. Ghifary, D. Balduzzi, W. B. Kleijn, and M. Zhang · 2017
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Deeper, broader and artier domain generalization
D. Li, Y. Yang, Y.-Z. Song, and T. M. Hospedales · 2017
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Focal loss for dense object detection
T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár · 2017
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Seven-point checklist and skin lesion classification using multitask multimodal neural nets
J. Kawahara, S. Daneshvar, G. Argenziano, and G. Hamarneh · 2018
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A probabilistic u-net for segmentation of ambiguous images
S. Kohl, B. Romera-Paredes, C. Meyer, J. De Fauw, J. R. Ledsam, K. Maier-Hein, S. A. Eslami, D. J. Rezende, and O. Ronneberger · 2018
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Learning to generalize: Meta-learning for domain generalization
D. Li, Y. Yang, Y.-Z. Song, and T. M. Hospedales · 2018
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Domain generalization with adversarial feature learning
H. Li, S. Jialin Pan, S. Wang, and A. C. Kot · 2018
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The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions
P. Tschandl, C. Rosendahl, and H. Kittler · 2018
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Unified deep supervised domain adaptation and generalization
S. Motiian, M. Piccirilli, D. A. Adjeroh, and G. Doretto · 2017
Cited alongside, same era.
Spinal cord grey matter segmentation challenge
F. Prados, J. Ashburner, C. Blaiotta, T. Brosch, J. Carballido-Gamio, M. J. Cardoso, B. N. Conrad, E. Datta, G. Dávid, B. De Leener, et al · 2017
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Adversarial discriminative domain adaptation
E. Tzeng, J. Hoffman, K. Saenko, and T. Darrell · 2017
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mixup: Beyond empirical risk minimization
H. Zhang, M. Cisse, Y. N. Dauphin, and D. Lopez-Paz · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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Metareg: Towards domain generalization using meta-regularization
Y. Balaji, S. Sankaranarayanan, and R. Chellappa · 2018
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Y. Zhang, S. Miao, T. Mansi, and R. Liao · 2018
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Translating and segmenting multimodal medical volumes with cycle-and shape-consistency generative adversarial network
Z. Zhang, L. Yang, and Y. Zheng · 2018
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Domain generalization by solving jigsaw puzzles
F. M. Carlucci, A. D’Innocente, S. Bucci, B. Caputo, and T. Tommasi · 2019
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Synergistic image and feature adaptation: Towards cross-modality domain adaptation for medical image segmentation
C. Chen, Q. Dou, H. Chen, J. Qin, and P.-A. Heng · 2019
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Domain generalization via model-agnostic learning of semantic features
Q. Dou, D. C. de Castro, K. Kamnitsas, and B. Glocker · 2019
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Generalizable feature learning in the presence of data bias and domain class imbalance with application to skin lesion classification
C. Yoon, G. Hamarneh, and R. Garbi · 2019
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Unsupervised domain adaptation in the wild via disentangling representation learning
H. Li, R. Wan, S. Wang, and A. C. Kot · 2020
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Gmfad: Towards generalized visual recognition via multi-layer feature alignment and disentanglement
H. Li, S. Wang, R. Wan, and A. K. Chichung · 2020
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Heterogeneous domain generalization via domain mixup
Y. Wang, H. Li, and A. C. Kot · 2020
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Generalizing deep learning for medical image segmentation to unseen domains via deep stacked transformation
L. Zhang, X. Wang, D. Yang, T. Sanford, S. Harmon, B. Turkbey, H. Roth, A. Myronenko, D. Xu, and Z. Xu · 2020
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