Zizhao Zhang

Orcid: 0000-0002-6754-5123

Affiliations:
  • Google AI, Sunnyvale, CA, USA


According to our database1, Zizhao Zhang authored at least 26 papers between 2013 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing.
IEEE Trans. Image Process., 2021

Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

2020
Low-resolution facial expression recognition: A filter learning perspective.
Signal Process., 2020

Loss-Based Attention for Deep Multiple Instance Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning.
Nat. Mach. Intell., 2019

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning.
Nat. Mach. Intell., 2019

Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network.
Medical Image Anal., 2019

Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images.
BMC Bioinform., 2019

Towards pixel-to-pixel deep nucleus detection in microscopy images.
BMC Bioinform., 2019

High throughput automatic muscle image segmentation using parallel framework.
BMC Bioinform., 2019

Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Revisiting graph construction for fast image segmentation.
Pattern Recognit., 2018

Breast mass classification via deeply integrating the contextual information from multi-view data.
Pattern Recognit., 2018

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.
CoRR, 2018

Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection.
CoRR, 2017

Revisiting Graph Construction for Fast Image Segmentation.
CoRR, 2017

TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Kernel-Based Supervised Discrete Hashing for Image Retrieval.
Proceedings of the Computer Vision - ECCV 2016, 2016

SemiContour: A Semi-Supervised Learning Approach for Contour Detection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

2013
Discriminative filter based regression learning for facial expression recognition.
Proceedings of the IEEE International Conference on Image Processing, 2013


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