Siqi Liu

Director of AI Science, AI department, Paige AI

Joined

May 2018

Names

Siqi Liu

Emails

****@gmail.com (Confirmed)

****@paige.ai (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Director of AI Science

AI department, Paige AI (paige.ai)

2024 – Present

Data Scientist

AI department, Paige AI (paige.ai)

2021 – 2023

Data Scientist

Digital Technology and Innovation, Siemens Healthineers (siemens-healthineers.com)

2018 – 2021

PhD student

School of Computer Science, University of Sydney (sydney.edu.au)

2014 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Weidong Cai

2013 – 2018

Expertise

medical image analysis

Present

computer vision

Present

deep learning

Present

Computational Pathology

Present

Publications

PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology
George Shaikovski, Adam Casson, Kristen A Severson, Eric Zimmermann, Yi Kan Wang, Jeremy D. Kunz, Juan A. Retamero, Gerard Oakley, David Klimstra, Christopher Kanan, Matthew Hanna, Michal Zelechowski, Julian Viret, Neil Tenenholtz, James Brian Hall, Nicolo Fusi, Razik Yousfi, Peter Hamilton, William A. Moye, Eugene Vorontsov et al. (2 additional authors not shown)
- Arxiv
- Readers: Everyone
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil Tenenholtz, James Brian Hall, David Klimstra, Razik Yousfi, Thomas Fuchs, Nicolo Fusi, Siqi Liu, Kristen A Severson
- OpenReview Archive Direct Upload
- Readers: Everyone
Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels
Adam Casson, Siqi Liu, Ran A Godrich, Hamed Aghdam, Donghun Lee, Kasper Malfroid, Brandon Rothrock, Christopher Kanan, Juan Retamero, Matt Hanna, Ewan Millar, David Klimstra, Thomas Fuchs
- Published: 04 Apr 2023, Last Modified: 01 May 2023
- MIDL 2023 Oral
- Readers: Everyone
Single Neuron Segmentation Using Graph-Based Global Reasoning with Auxiliary Skeleton Loss from 3D Optical Microscope Images
Heng Wang, Yang Song, Chaoyi Zhang, Jianhui Yu, Siqi Liu, Hanchuan Peng, Tom Weidong Cai
- 2021 (modified: 04 Nov 2022)
- ISBI 2021
- Readers: Everyone
Single Neuron Segmentation using Graph-based Global Reasoning with Auxiliary Skeleton Loss from 3D Optical Microscope Images
Heng Wang, Yang Song, Chaoyi Zhang, Jianhui Yu, Siqi Liu, Hanchuan Peng, Weidong Cai
- 2021 (modified: 04 Nov 2022)
- CoRR 2021
- Readers: Everyone
Voxel-Wise Cross-Volume Representation Learning for 3D Neuron Reconstruction
Heng Wang, Chaoyi Zhang, Jianhui Yu, Yang Song, Siqi Liu, Wojciech Chrzanowski, Weidong Cai
- 2021 (modified: 04 Nov 2022)
- MLMI@MICCAI 2021
- Readers: Everyone
Voxel-wise Cross-Volume Representation Learning for 3D Neuron Reconstruction
Heng Wang, Chaoyi Zhang, Jianhui Yu, Yang Song, Siqi Liu, Wojciech Chrzanowski, Weidong Cai
- 2021 (modified: 04 Nov 2022)
- CoRR 2021
- Readers: Everyone
Partial Graph Reasoning for Neural Network Regularization
Tiange Xiang, Chaoyi Zhang, Yang Song, Siqi Liu, Hongliang Yuan, Tom Weidong Cai
- 2021 (modified: 04 Nov 2022)
- CoRR 2021
- Readers: Everyone
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks
Siqi Liu, Arnaud Arindra Adiyoso Setio, Florin C. Ghesu, Eli Gibson, Sasa Grbic, Bogdan Georgescu, Dorin Comaniciu
- 2021 (modified: 10 Nov 2022)
- IEEE Trans. Medical Imaging 2021
- Readers: Everyone
3D Conditional Adversarial Learning for Synthesizing Microscopic Neuron Image Using Skeleton-to-Neuron Translation
Zihao Tang, Donghao Zhang, Yang Song, Heng Wang, Dongnan Liu, Chaoyi Zhang, Siqi Liu, Hanchuan Peng, Weidong Cai
- 2020 (modified: 17 Mar 2022)
- ISBI 2020
- Readers: Everyone

View all 48 publications

Co-Authors

View all 104 co-authors