Radiology MRI super-resolution via realistic downsampling with adversarial learning. September 2, 2021
Medical Imaging | Oncology | Radiology An attention-based deep learning model for predicting microvascular invasion of hepatocellular carcinoma using an intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging. September 1, 2021
Medical Imaging | Radiation Oncology The impact of training sample size on deep learning-based organ auto-segmentation for head-and-neck patients. August 27, 2021
Radiation Therapy | Radiology Metal artifact reduction in 2D CT images with self-supervised cross-domain learning. July 30, 2021
Medical Physics | Radiation Oncology Saliency-guided deep learning network for automatic tumor bed volume delineation in post-operative breast irradiation. July 23, 2021
Nuclear Medicine | Radiology Assessment of deep learning-based PET attenuation correction frameworks in the sinogram domain. June 24, 2021
Medical Physics | Radiation Oncology Independent verification of brachytherapy treatment plan by using deep learning inference modeling. June 16, 2021
Radiology | Radiotherapy An unsupervised multi-scale framework with attention-based network (MANet) for lung 4D-CT registration. June 14, 2021
Radiology Efficient high cone-angle artifact reduction in circular cone-beam CT using deep learning with geometry-aware dimension reduction. June 9, 2021
Nuclear Medicine | Radiology Synthesizing PET/MR (T1-weighted) images from non-attenuation-corrected PET images. June 7, 2021
Medical Physics | Radiation Oncology Learning-based dose prediction for pancreatic stereotactic body radiation therapy using dual pyramid adversarial network. June 4, 2021