Matthew J. Tyska - researchr alias

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Viewing Publication 1 - 5 from 5

2021

CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image PatternsRuining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo. miccai 2021: 93-102 [doi]

GAN based unsupervised segmentation: should we match the exact number of objectsQuan Liu, Isabella M. Gaeta, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo. miip 2021: [doi]

ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulationsQuan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo. cbm, 134:104501, 2021. [doi]

VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep LearningMengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo. miccai 2021: 437-446 [doi]

Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and trackingMengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu 0001, Bennett A. Landman, Matthew J. Tyska, Yuankai Huo. mia, 71:102048, 2021. [doi]

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