Author of the publication

MDT-Net: Multi-Domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan.

, , , , , and . ISBI, page 1-5. IEEE, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data., , , , , , , , and . ISBI, page 1251-1255. IEEE, (2019)Automatic polyp detection from learned boundaries., , , and . ISBI, page 97-100. IEEE, (2014)UNet++: A Nested U-Net Architecture for Medical Image Segmentation., , , and . DLMIA/ML-CDS@MICCAI, volume 11045 of Lecture Notes in Computer Science, page 3-11. Springer, (2018)Feature fusion as a practical solution toward noncooperative iris recognition., , and . FUSION, page 1-7. IEEE, (2008)Reduction in training time of a deep learning model in detection of lesions in CT., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105753V. SPIE, (2018)Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis., , , , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 384-393. Springer, (2019)A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps., , and . Abdominal Imaging, volume 8198 of Lecture Notes in Computer Science, page 53-62. Springer, (2013)Noisy Iris Verification: A Modified Version of Local Intensity Variation Method., , and . ICB, volume 5558 of Lecture Notes in Computer Science, page 1150-1159. Springer, (2009)Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks., , and . MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 62-69. Springer, (2015)On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging., , , , , , and . Deep Learning and Convolutional Neural Networks for Medical Image Computing, Springer, (2017)