Jinghao Zhou

发表

False-positive elimination for computer-aided detection of pulmonary micronodules

Dimitris N. Metaxas, Leon Axel, Sukmoon Chang, 2006, SPIE Medical Imaging.

Robust image registration in the gradient domain

Junzhou Huang, Chen Chen, Jinghao Zhou, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Registration of Lung Tissue Between Fluoroscope and CT Images: Determination of Beam Gating Parameters in Radiotherapy

Qingshan Liu, Dimitris N. Metaxas, Sukmoon Chang, 2007, MICCAI.

VASCULAR STRUCTURE SEGMENTATION AND BIFURCATION DETECTION

Dimitris N. Metaxas, Leon Axel, Sukmoon Chang, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

An adaptive tracking algorithm of lung tumors in fluoroscopy using online learned collaborative trackers

Casimir A. Kulikowski, Jinghao Zhou, Lin Yang, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Vessel boundary extraction using ridge scan-conversion deformable model

Dimitris N. Metaxas, Leon Axel, Sukmoon Chang, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

3D-3D tubular organs registration based on bifurcations for the CT images

Sukmoon Chang, Jinghao Zhou, Dimitris Metaxas, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

3D segmentation of rodent brains using deformable models and variational methods

George J. Pappas, Xiaoxu Wang, Dimitris N. Metaxas, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

SU‐FF‐I‐91: A Fast and Robust Dynamic Tracking Method of the Moving Deformable Targets in the Fluoroscopy Image Sequence for Image Guided Radiotherapy

Lin Yang, Jinghao Zhou, Ning Yue, 2009 .

A novel learning based segmentation method for rodent brain structures using MRI

Qingshan Liu, George J. Pappas, Dimitris N. Metaxas, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automatic Detection and Segmentation of Ground Glass Opacity Nodules

Dimitris N. Metaxas, Sukmoon Chang, Jinghao Zhou, 2006, MICCAI.

A new calibration method in 3D ultrasonic imaging system

Shangkai Gao, Jinghao Zhou, Jie Liu, 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

TH‐C‐304A‐05: A Fast Deformable Model Based 3D Registration Algorithm for Image Guided Prostate Radiotherapy

Sukmoon Chang, Jinghao Zhou, Ting Chen, 2009 .

A boosting regression approach to medical anatomy detection

Dorin Comaniciu, Shaohua Kevin Zhou, Jinghao Zhou, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Segmentation of rodent brains from MRI based on a novel statistical structure prediction method

George J. Pappas, Dimitris N. Metaxas, Sukmoon Chang, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

3D Meshless Prostate Segmentation and Registration in Image Guided Radiotherapy

Dimitris N. Metaxas, Jinghao Zhou, Gunaretnam Rajagopal, 2009, MICCAI.

Instance and Pair-Aware Dynamic Networks for Re-Identification pdf

Jinghao Zhou, Peng Wang, Bingliang Jiao, 2021, ArXiv.

iBOT: Image BERT Pre-Training with Online Tokenizer pdf

Tao Kong, Jinghao Zhou, Alan Yuille, 2021, ArXiv.