Jonathan T. C. Liu

According to our database, Jonathan T. C. Liu authored at least 6 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Triage of 3D pathology data via 2.5D multiple-instance learning to guide pathologist assessments.

Gan Gao, Andrew H. Song, Fiona Wang, David Brenes, Rui Wang, Sarah S. L. Chow, Kevin W. Bishop, Lawrence D. True, Faisal Mahmood, Jonathan T. C. Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Comprehensive Surface Histology of Fresh Resection Margins With Rapid Open-Top Light-Sheet (OTLS) Microscopy.

Gan Gao, Dominie Miyasato, Lindsey A. Barner, Robert Serafin, Kevin W. Bishop, Weisi Xie, Adam K. Glaser, Eben L. Rosenthal, Lawrence D. True, Jonathan T. C. Liu

IEEE Trans. Biomed. Eng., July, 2023

Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples.

Andrew H. Song, Mane Williams, Drew F. K. Williamson, Guillaume Jaume, Andrew Zhang, Bowen Chen, Robert Serafin, Jonathan T. C. Liu, Alexander S. Baras, Anil V. Parwani, Faisal Mahmood

CoRR, 2023

2020

Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer.

Can Fahrettin Koyuncu, Andrew Janowczyk, Cheng Lu, Patrick Leo, Mehdi Alilou, Adam K. Glaser, Nicholas P. Reder, Jonathan T. C. Liu, Anant Madabhushi

Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

2018

Measuring and Mitigating Speckle Noise in Dual-Axis Confocal Microscopy Images.

Davit Gigilashvili, Chengbo Yin, Jonathan T. C. Liu, Jon Yngve Hardeberg, Marius Pedersen

Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, 2018

2016

Modulated-Alignment Dual-Axis (MAD) Confocal Microscopy Optimized for Speed and Contrast.

Steven Y. Leigh, Ye Chen, Jonathan T. C. Liu

IEEE Trans. Biomed. Eng., 2016