Qifei Dong
University of Washington
9 Papers
1 Citations
Qifei Dong is an academic researcher from University of Washington. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 1, co-authored 2 publications.
Chat about Author
Papers
Deep Learning Classification of Spinal Osteoporotic Compression Fractures on Radiographs using an Adaptation of the Genant Semiquantitative Criteria.
Qifei Dong,Gang Luo,Nancy E Lane,Li-Yung Lui,Lynn M. Marshall,Deborah M. Kado,Peggy M. Cawthon,Jessica Perry,Sandra K. Johnston,D. Haynor,Jeffrey G. Jarvik,Nathan M. Cross +11 more
TL;DR: In this article , a deep learning classifier for spinal OCFs was developed, which achieved a sensitivity of 59.8%, a PPV of 91.2%, and an F1 score of 0.72.
Improving the Accuracy of Progress Indication for Constructing Deep Learning Models
Qifei Dong,Xiaoyi Zhang,Gang Luo +2 more
TL;DR: A new progress indication method is proposed to overcome the shortcoming of sparsity of validation points by judiciously inserting extra validation points between the original validation points to obtain relatively accurate progress estimates faster.
Generalizability of Deep Learning Classification of Spinal Osteoporotic Compression Fractures on Radiographs Using an Adaptation of the Modified-2 Algorithm-Based Qualitative Criteria.
Qifei Dong,Gang Luo,Nancy E Lane,Li-Yung Lui,Lynn M. Marshall,Sandra K. Johnston,Howard Dabbous,Ken F. Linnau,Jessica Perry,Jonathan R. Renslo,D. Haynor,Jeffrey G. Jarvik,Nathan M. Cross +12 more
TL;DR: A deep learning vertebral body classifier for OCFs as a critical component of the future automated opportunistic screening tool for osteoporosis and some generalizability to real-world clinical datasets are shown.
9
m2ABQ—a proposed refinement of the modified algorithm-based qualitative classification of osteoporotic vertebral fractures
H Laura Aaltonen,Michael K O'Reilly,Ken F. Linnau,Qifei Dong,Sandra K. Johnston,JG Jarvik,Nathan M. Cross +6 more
TL;DR: The m2ABQ system demonstrates moderate interobserver agreement and practical feasibility for classifying osteoporotic vertebral body fractures as well as further development of its use in machine learning purposes.
1
Does Wearable Cognitive Assistance Require Edge Computing?
Roger Iyengar,Qifei Dong,Chanh Nguyen,Padmanabhan Pillai,Mahadev Satyanarayanan +4 more
- 22 Feb 2023
TL;DR: In this article , the authors focus on an important subclass of wearable cognitive assistance (WCA) applications that provide step-by-step guidance through physical assembly tasks, where the camera on the glasses captures image frames of a user's progress through the task, and the application processes these frames using deep neural network (DNN)-based computer vision, to determine when a task step has been completed.