Matthew J. Tyska

According to our database, Matthew J. Tyska authored at least 3 papers in 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

GAN based unsupervised segmentation: should we match the exact number of objects.

Quan Liu, Isabella M. Gaeta, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning.

Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns.

Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021