51 citations · 152 across the 23 of their papers we have counts for
6 papers · 1 filter
Bridging the gap between prostate radiology and pathology through machine learning
Indrani Bhattacharya, David S. Lim, Han Lin Aung +11
Prostate cancer is the second deadliest cancer for American men. While Magnetic Resonance Imaging (MRI) is increasingly used to guide targeted biopsies for prostate cancer diagnosi…
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Alessa Hering, Lasse Hansen, Tony C. W. Mok +50
Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medi…
Adaptable image quality assessment using meta-reinforcement learning of task amenability
Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides +8
The performance of many medical image analysis tasks are strongly associated with image data quality. When developing modern deep learning algorithms, rather than relying on subjec…
Weakly Supervised Registration of Prostate MRI and Histopathology Images
Wei Shao, Indrani Bhattacharya, Simon J. C. Soerensen +7
The interpretation of prostate MRI suffers from low agreement across radiologists due to the subtle differences between cancer and normal tissue. Image registration addresses this…
Geodesic Density Regression for Correcting 4DCT Pulmonary Respiratory Motion Artifacts
Wei Shao, Yue Pan, Oguz C. Durumeric +4
Pulmonary respiratory motion artifacts are common in four-dimensional computed tomography (4DCT) of lungs and are caused by missing, duplicated, and misaligned image data. This pap…
Learning image quality assessment by reinforcing task amenable data selection
Shaheer U. Saeed, Yunguan Fu, Zachary M. C. Baum +6
In this paper, we consider a type of image quality assessment as a task-specific measurement, which can be used to select images that are more amenable to a given target task, such…