Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution

Hoover, A., Kouznetsova, V., Goldbaum, M.: Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response. IEEE Trans. Med. Imag. 19(3), 203–210 (2000)

2000

Earlier work this paper cites.

Staal, J., Abramoff, M., Niemeijer, M., Viergever, M., Ginneken, B.V.: Ridge based vessel segmentation in color images of the retina. IEEE Trans. Med. Imag. 23(4), 501–509 (2004)

2004

Earlier work this paper cites.

Wang, Z., et. al.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Imag. Proc. 13(4), 600–612 (2004)

Original

2004

Earlier work this paper cites.

Rousseau, F.: Brain hallucination. In: ECCV. pp. 497–508 (2008)

2008

Earlier work this paper cites.

Manjon, J., Coupe, P., Buades, A., Fonov, V., Collins, D., Robles, M.: Non-local mri upsampling. Med. Image Anal. 14(6), 784–792 (2010)

2010

Earlier work this paper cites.

Fraz, M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A., Owen, C., Barman, S.: An ensemble classification-based approach applied to retinal blood vessel segmentation. IEEE Trans. Biomed. Engg. 59(9), 2538–2548 (2012)

2012

Earlier work this paper cites.

Perazzi, F., Kraehenbuhl, P., Pritch, Y., Hornung, A.: Saliency filters: Contrast based filtering for salient region detection. In: Proc. IEEE Intl. Conf. Comp. Vis. Pattern. Recog. pp. 733–740 (2012)

2012

Cited alongside, same era.

Vu, C., Phan, T., Chandler., D.: S3: A spectral and spatial measure of local perceived sharpness in natural images. IEEE Trans. Imag. Proc. 21(3), 934–945 (2012)

2012

Cited alongside, same era.

Rueda, A., Malpica, N., Romero., E.: Single-image super-resolution of brain mr images using overcomplete dictionaries. Med. Image Anal. 17(1), 113–132 (2013)

2013

Cited alongside, same era.

Bhatia, K., Price, A., Shi, W., Hajnal, J., Rueckert., D.: Super-resolution reconstruction of cardiac mri using coupled dictionary learning. In: In Proc ISBI. pp. 947–950 (2014)

2014

Cited alongside, same era.

Simonyan, K., Zisserman., A.: Very deep convolutional networks for large-scale image recognition. CoRR abs/1409.1556 (2014)

Dong, C., Loy, C., He, K., Tang, X.: Image super-resolution using deep convolutional networks. IEEE Trans. Patt. Anal. Mach. Intell. 38(2), 295–307 (2016)

2016

Later among the works it cites.

Jog, A., aron Carass, A., Prince., J.: Self super-resolution for magnetic resonance images. In: In Proc MICCAI. pp. 553–560 (2016)

2016

Later among the works it cites.

Ledig, C., et. al.: Photo-realistic single image super-resolution using a generative adversarial network. CoRR abs/1609.04802 (2016)

Original

2016

Later among the works it cites.

Oktay, O., et. al.: Multi-input cardiac image super-resolution using convolutional neural networks. In: In Proc MICCAI. pp. 246–254 (2016)

2016

Later among the works it cites.

Tanno, R., Ghosh, A., Grussu, F., Kaden, E., Criminisi, A., Alexander., D.: Bayesian image quality transfer. In: In Proc MICCAI. pp. 265–173 (2016)