Author of the publication

High-Resolution 3D MRI With Deep Generative Networks via Novel Slice-Profile Transformation Super-Resolution.

, , , , , , and . IEEE Access, (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

Integrative Radiomics Models To Predict Biopsy Results For Negative Prostate MRI., , , , and . ISBI, page 877-881. IEEE, (2021)Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random Field., , , , , , , and . ISBI, page 1900-1904. IEEE, (2019)Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning., , , , , , , and . MIDL, volume 172 of Proceedings of Machine Learning Research, page 975-987. PMLR, (2022)Using a GAN for CT contrast enhancement to improve CNN kidney segmentation accuracy., , , , , , and . Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation., , , , , , , , and . WACV, page 5911-5920. IEEE, (2024)CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation., , , , , , , , and . CoRR, (2023)Exploring Uncertainty Measures in Bayesian Deep Attentive Neural Networks for Prostate Zonal Segmentation., , , , , , , and . IEEE Access, (2020)Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI., , , , and . ICCV Workshops, page 434-439. IEEE, (2019)High-Resolution 3D MRI With Deep Generative Networks via Novel Slice-Profile Transformation Super-Resolution., , , , , , and . IEEE Access, (2023)