Feng Li

21 papers B 6Journal 5Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Convolutional Neural Networks for Segmentation of Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance).
J. Imaging Inform. Medicine
Mena Shenouda, Eyjólfur Gudmundsson, Feng Li, Christopher M. Straus, Hedy L. Kindler, Arkadiusz Z. Dudek, Thomas Stinchcombe, Xiaofei Wang, Adam Starkey, Samuel G. Armato III
2023 J jnl
Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance).
CoRR
Mena Shenouda, Eyjólfur Gudmundsson, Feng Li, Christopher M. Straus, Hedy L. Kindler, Arkadiusz Z. Dudek, Thomas Stinchcombe, Xiaofei Wang, Adam Starkey, Samuel G. Armato III
2021 J jnl
Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs.
J. Digit. Imaging
Feng Li, Samuel G. Armato, Roger Engelmann, Thomas Rhines, Jennie Crosby, Li Lan, Maryellen L. Giger, Heber MacMahon
2021 — conf
Radiomic texture analysis for the assessment of osteoporosis on low-dose thoracic CT scans.
Computer-Aided Diagnosis
Jordan D. Fuhrman, Linnea Kremer, Yeqing Zhu, Rowena Yip, Feng Li, Li Lan, Hui Li, Artit C. Jirapatnakul, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger
2020 — conf
Deep learning for pneumothorax detection and localization using networks fine-tuned with multiple institutional datasets.
Computer-Aided Diagnosis
Jennie Crosby, Thomas Rhines, Feng Li, Heber MacMahon, Maryellen L. Giger
2020 — conf
Network output visualization to uncover limitations of deep learning detection of pneumothorax.
Image Perception, Observer Performance, and Technology Assessment
Jennie Crosby, Sophia Chen, Feng Li, Heber MacMahon, Maryellen L. Giger
2017 — conf
Automated assessment of imaging biomarkers for the PanCan lung cancer risk prediction model with validation on NLST data.
Computer-Aided Diagnosis
Rafael Wiemker, Merlijn Sevenster, Heber MacMahon, Feng Li, Sandeep Dalal, Amir Tahmasebi, Tobias Klinder
2010 J jnl
True Detection Versus "Accidental" Detection of Small Lung Cancer by a Computer-Aided Detection (CAD) Program on Chest Radiographs.
J. Digit. Imaging
Feng Li, Roger Engelmann, Kunio Doi, Heber MacMahon
2010 — conf
Usefulness of texture features for segmentation of lungs with severe diffuse interstitial lung disease.
Computer-Aided Diagnosis
Jiahui Wang, Feng Li, Qiang Li
2009 — conf
A novel scheme for detection of diffuse lung disease in MDCT by use of statistical texture features.
Computer-Aided Diagnosis
Jiahui Wang, Feng Li, Kunio Doi, Qiang Li
2008 B conf
An accurate segmentation method for volumetry of brain tumor in 3D MRI.
Image Processing
Jiahui Wang, Qiang Li, Toshinori Hirai, Shigehiko Katsuragawa, Feng Li, Kunio Doi
2008 — conf
Computerized scheme for detection of diffuse lung diseases on CR chest images.
Computer-Aided Diagnosis
Roberto Rodrigues Pereira, Junji Shiraishi, Feng Li, Qiang Li, Kunio Doi
2008 — conf
Performance levels for computerized detection of nodules in different size and pattern groups on thin-slice CT.
Computer-Aided Diagnosis
Qiang Li, Feng Li, Kunio Doi
2007 — conf
Computerized method for detection of vertebral fractures on lateral chest radiographs based on morphometric data.
Computer-Aided Diagnosis
Satoshi Kasai, Feng Li, Junji Shiraishi, Qiang Li, Christopher Straus, Tamara Vokes, Heber MacMahon, Kunio Doi
2006 B conf
Development of computerized method for detection of vertebral fractures on lateral chest radiographs.
Image Processing
Satoshi Kasai, Feng Li, Junji Shiraishi, Qiang Li, Yongkang Nie, Kunio Doi
2005 J jnl
Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network.
IEEE Trans. Medical Imaging
Kenji Suzuki, Feng Li, Shusuke Sone, Kunio Doi
2005 B conf
Computerized nodule detection in thin-slice CT using selective enhancement filter and automated rule-based classifier.
Image Processing
Qiang Li, Feng Li, Kunio Doi
2005 B conf
Effect of massive training artificial neural networks for rib suppression on reduction of false positives in computerized detection of nodules on chest radiographs.
Image Processing
Kenji Suzuki, Junji Shiraishi, Feng Li, Hiroyuki Abe, Heber MacMahon, Kunio Doi
2004 B conf
Suppression of the contrast of ribs in chest radiographs by means of massive training artificial neural network.
Image Processing
Kenji Suzuki, Hiroyuki Abe, Feng Li, Kunio Doi
2004 — conf
Usefulness of computerized scheme for differentiating benign from malignant lung nodules on high-resolution CT.
CARS
Feng Li, Qiang Li, Masahito Aoyama, Junji Shiraishi, Hiroyuki Abe, Kenji Suzuki, Roger Engelmann, Shusuke Sone, Heber MacMahon, Kunio Doi
2003 B conf
Effect of a small number of training cases on the performance of massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose CT.
Image Processing
Kenji Suzuki, Samuel G. Armato, Feng Li, Shusuke Sone, Kunio Doi