Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Qin Liu

Qin Liu

PseudoClick: Interactive Image Segmentation with Click Imitation

Jul 12, 2022
Qin Liu, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, Marc Niethammer, Ziyan Wu

Figure 1 for PseudoClick: Interactive Image Segmentation with Click Imitation

Figure 2 for PseudoClick: Interactive Image Segmentation with Click Imitation

Figure 3 for PseudoClick: Interactive Image Segmentation with Click Imitation

Figure 4 for PseudoClick: Interactive Image Segmentation with Click Imitation

* 18 pages, 6 figures, 7 tables. Accepted by ECCV 2022

Access Paper or Ask Questions

iSegFormer: Interactive Image Segmentation with Transformers

Dec 21, 2021
Qin Liu

Figure 1 for iSegFormer: Interactive Image Segmentation with Transformers

Figure 2 for iSegFormer: Interactive Image Segmentation with Transformers

Figure 3 for iSegFormer: Interactive Image Segmentation with Transformers

Figure 4 for iSegFormer: Interactive Image Segmentation with Transformers

Access Paper or Ask Questions

SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection

Oct 07, 2021
Qin Liu, Han Deng, Chunfeng Lian, Xiaoyang Chen, Deqiang Xiao, Lei Ma, Xu Chen, Tianshu Kuang, Jaime Gateno, Pew-Thian Yap, James J. Xia

Figure 1 for SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection

Figure 2 for SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection

Figure 3 for SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection

Figure 4 for SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection

* 10 pages, 5 figures, accepted by MLMI 2021

Access Paper or Ask Questions

A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning

Sep 11, 2021
Deqiang Xiao, Hannah Deng, Tianshu Kuang, Lei Ma, Qin Liu, Xu Chen, Chunfeng Lian, Yankun Lang, Daeseung Kim, Jaime Gateno, Steve Guofang Shen, Dinggang Shen, Pew-Thian Yap, James J. Xia

Figure 1 for A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning

Figure 2 for A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning

Figure 3 for A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning

Figure 4 for A Self-Supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning

* The 24th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021

Access Paper or Ask Questions

Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound

Aug 11, 2021
Shuangchi He, Zehui Lin, Xin Yang, Chaoyu Chen, Jian Wang, Xue Shuang, Ziwei Deng, Qin Liu, Yan Cao, Xiduo Lu, Ruobing Huang, Nishant Ravikumar, Alejandro Frangi, Yuanji Zhang, Yi Xiong, Dong Ni

Figure 1 for Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound

Figure 2 for Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound

Figure 3 for Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound

Figure 4 for Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound

* Accepted by MICCAI-MLMI 2021

Access Paper or Ask Questions

Towards Robust Active Feature Acquisition

Jul 09, 2021
Yang Li, Siyuan Shan, Qin Liu, Junier B. Oliva

Figure 1 for Towards Robust Active Feature Acquisition

Figure 2 for Towards Robust Active Feature Acquisition

Figure 3 for Towards Robust Active Feature Acquisition

Figure 4 for Towards Robust Active Feature Acquisition

Access Paper or Ask Questions

Efficient refinements on YOLOv3 for real-time detection and assessment of diabetic foot Wagner grades

Jun 04, 2020
Aifu Han, Yongze Zhang, Ajuan Li, Changjin Li, Fengying Zhao, Qiujie Dong, Qin Liu, Yanting Liu, Ximei Shen, Sunjie Yan, Shengzong Zhou

Figure 1 for Efficient refinements on YOLOv3 for real-time detection and assessment of diabetic foot Wagner grades

Figure 2 for Efficient refinements on YOLOv3 for real-time detection and assessment of diabetic foot Wagner grades

Figure 3 for Efficient refinements on YOLOv3 for real-time detection and assessment of diabetic foot Wagner grades

Figure 4 for Efficient refinements on YOLOv3 for real-time detection and assessment of diabetic foot Wagner grades

* 11 pages with 11 figures

Access Paper or Ask Questions