2.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Institutes of HealthUS26 papers
- National Center for Biotechnology InformationUS7 papers
- Yale UniversityUS5 papers
- National Institutes of Health Clinical CenterUS4 papers
- National Eye InstituteUS3 papers
- National University of SingaporeSG3 papers
- Oregon Health & Science UniversityUS3 papers
- Pennsylvania State UniversityUS3 papers
- Radboud University NijmegenNL3 papers
- The University of Texas Health Science Center at HoustonUS3 papers
- University of California San DiegoUS3 papers
- Carnegie Mellon UniversityUS2 papers
6 papers · 1 filter
DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs
Yifan Peng, Shazia Dharssi, Qingyu Chen +5
In assessing the severity of age-related macular degeneration (AMD), the Age-Related Eye Disease Study (AREDS) Simplified Severity Scale predicts the risk of progression to late AM…
Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning
Shusil Dangi, Ziv Yaniv, Cristian A. Linte
Segmentation of the left ventricle and quantification of various cardiac contractile functions is crucial for the timely diagnosis and treatment of cardiovascular diseases. Traditi…
On the feasibility of saltational evolution
Mikhail I. Katsnelson, Yuri I. Wolf, Eugene V. Koonin
Is evolution always gradual or can it make leaps? We examine a mathematical model of an evolutionary process on a fitness landscape and obtain analytic solutions for the probabilit…
Scalable Simple Linear Iterative Clustering (SSLIC) Using a Generic and Parallel Approach
Bradley C. Lowekamp, David T. Chen, Ziv Yaniv +1
Superpixel algorithms have proven to be a useful initial step for segmentation and subsequent processing of images, reducing computational complexity by replacing the use of expens…
Physical foundations of biological complexity
Yuri I. Wolf, Mikhail I. Katsnelson, Eugene V. Koonin
Biological systems reach hierarchical complexity that has no counterpart outside the realm of biology. Undoubtedly, biological entities obey the fundamental physical laws. Can toda…
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays
Xiaosong Wang, Yifan Peng, Le Lu +2
Chest X-rays are one of the most common radiological examinations in daily clinical routines. Reporting thorax diseases using chest X-rays is often an entry-level task for radiolog…