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09/18/2023
vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems
Medical Imaging (MI) tasks, such as accelerated Parallel Magnetic Resona...
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08/28/2023
Improving Lesion Volume Measurements on Digital Mammograms
Lesion volume is an important predictor for prognosis in breast cancer. ...
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07/17/2023
Neural Modulation Fields for Conditional Cone Beam Neural Tomography
Conventional Computed Tomography (CT) methods require large numbers of n...
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10/28/2021
Subpixel object segmentation using wavelets and multi resolution analysis
We propose a novel deep learning framework for fast prediction of bounda...
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11/10/2020
Multi-channel MR Reconstruction (MC-MRRec) Challenge – Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Differ
The 2020 Multi-channel Magnetic Resonance Reconstruction (MC-MRRec) Chal...
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06/11/2020
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation
The two-dimensional nature of mammography makes estimation of the overal...
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05/16/2020
Inferring astrophysical X-ray polarization with deep learning
We investigate the use of deep learning in the context of X-ray polariza...
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01/24/2020
Kernel of CycleGAN as a Principle homogeneous space
Unpaired image-to-image translation has attracted significant interest d...
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08/14/2018
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation
Computer-aided detection aims to improve breast cancer screening program...
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08/14/2018
