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Jun Wei 0002
Person information
- affiliation: Perception Vision Medical Technologies Co. Ltd., Guangzhou, China
- affiliation (2004-2020): University of Michigan, Department of Radiology, Ann Arbor, MI, USA
- affiliation (PhD 2001): Tokyo University of Agriculture and Technology, Japan
Other persons with the same name
- Jun Wei — disambiguation page
- Jun Wei 0001
— Chinese Academy of Sciences, Institute of Software, State Key Laboratory of Computer Science, Beijing, China (and 1 more)
- Jun Wei 0003 — Singapore Institute of Manufacturing Technology, Singapore
- Jun Wei 0004 — University of Naval Engineering, Department of Management, Wuhan, China
- Jun Wei 0005 — University of Jinan, School of Control Science and Engineering, Jinan, China
- Jun Wei 0006
- Jun Wei 0007
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2020 – today
- 2021
- [j9]Gongfa Jiang
Synthesis of Mammogram From Digital Breast Tomosynthesis Using Deep Convolutional Neural Network With Gradient Guided cGANs. IEEE Trans. Medical Imaging 40(8): 2080-2091 (2021) - 2020
- [j8]Haibin Chen
Prior Attention Enhanced Convolutional Neural Network Based Automatic Segmentation of Organs at Risk for Head and Neck Cancer Radiotherapy. IEEE Access 8: 179018-179027 (2020) - [j7]Yaoming Lai
2019 Novel Coronavirus-Infected Pneumonia on CT: A Feasibility Study of Few-Shot Learning for Computerized Diagnosis of Emergency Diseases. IEEE Access 8: 194158-194165 (2020) - [j6]Yuchong Gu, Zitao Zeng, Haibin Chen, Jun Wei, Yaqin Zhang, Binghui Chen, Yingqin Li, Yujuan Qin, Qing Xie, Zhuoren Jiang, Yao Lu:
MedSRGAN: medical images super-resolution using generative adversarial networks. Multim. Tools Appl. 79(29-30): 21815-21840 (2020) - [c87]Michael I. Ivanitskiy, Lubomir M. Hadjiiski, Heang-Ping Chan
Bladder wall segmentation using U-net based deep learning. Computer-Aided Diagnosis 2020 - [c86]Yan Li, Jun Wei, Zhenyu Qi, Ying Sun, Yao Lu:
Synthesize CT from paired MRI of the same patient with patch-based generative adversarial network. Computer-Aided Diagnosis 2020 - [c85]Yifan Wang, Chuan Zhou, Heang-Ping Chan
Hybrid deep-learning model for volume segmentation of lung nodules in CT images. Computer-Aided Diagnosis 2020 - [c84]Yuanpin Zhou
Generating high resolution digital mammogram from digitized film mammogram with conditional generative adversarial network. Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [j5]Chuan Zhou
Variabilities in Reference Standard by Radiologists and Performance Assessment in Detection of Pulmonary Embolism in CT Pulmonary Angiography. J. Digit. Imaging 32(6): 1089-1096 (2019) - [c83]Yuchong Gu, Yaoming Lai, Peiliang Xie, Jun Wei, Yao Lu:
Multi-Scale Prediction Network for Lung Segmentation. ISBI 2019: 438-442 - [c82]Dhanuj Gandikota, Lubomir M. Hadjiiski, Heang-Ping Chan
Bladder cancer staging in CT urography: estimation and validation of decision thresholds for a radiomics-based decision support system. Computer-Aided Diagnosis 2019: 109500W - [c81]Xiangyuan Ma, Lubomir M. Hadjiiski, Jun Wei, Heang-Ping Chan
2D and 3D bladder segmentation using U-Net-based deep-learning. Computer-Aided Diagnosis 2019: 109500Y - [c80]Ravi K. Samala
Analysis of deep convolutional features for detection of lung nodules in computed tomography. Computer-Aided Diagnosis 2019: 109500Q - [c79]Xiangyuan Ma, Caleb Fisher, Jun Wei, Mark A. Helvie, Heang-Ping Chan
Multi-path deep learning model for automated mammographic density categorization. Computer-Aided Diagnosis 2019: 109502E - [c78]Chuan Zhou, Qian Dong
Quantitative MRI biomarker for treatment response assessment of multiple myeloma: robustness evaluation using independent test set of prospective cases. Computer-Aided Diagnosis 2019: 1095047 - [c77]Gongfa Jiang, Yao Lu, Jun Wei, Yuesheng Xu:
Synthesize Mammogram from Digital Breast Tomosynthesis with Gradient Guided cGANs. MICCAI (6) 2019: 801-809 - 2018
- [c76]Rutong Zeng, Sitao Zhang, Xiang Zhang, Chushan Zheng, Jialun Zhang, Ke Xue, Jun Wei, Yao Lu, Jun Shen:
Metastatic breast cancer: characterization of axillary sentinel lymph node (SLN) on the preoperative spectral CT. IWBI 2018: 1071815 - [c75]Xiangyuan Ma, Jun Wei, Chuan Zhou, Heang-Ping Chan
Fully automated pectoral muscle identification on MLO-view mammograms with deep convolutional neural network. IWBI 2018: 1071818 - [c74]Chuan Zhou, Hongliu Sun, Heang-Ping Chan
Differentiating invasive and pre-invasive lung cancer by quantitative analysis of histopathologic images. Computer-Aided Diagnosis 2018: 105751H - [c73]Dhanuj Gandikota, Lubomir M. Hadjiiski, Kenny H. Cha, Heang-Ping Chan
Bladder cancer staging in CT urography: effect of stage labels on statistical modeling of a decision support system. Computer-Aided Diagnosis 2018: 105752B - [c72]Jun Wei, Songfeng Li, Heang-Ping Chan
Deep convolutional neural network for mammographic density segmentation. Computer-Aided Diagnosis 2018: 105753I - 2017
- [c71]Jun Wei, Heang-Ping Chan
Radiomic modeling of BI-RADS density categories. Computer-Aided Diagnosis 2017: 101340P - [c70]Lubomir M. Hadjiiski
Radiomics biomarkers for accurate tumor progression prediction of oropharyngeal cancer. Computer-Aided Diagnosis 2017: 101341Z - [c69]Chuan Zhou, Heang-Ping Chan
Quantitative analysis of CT attenuation distribution patterns of nodule components for pathologic categorization of lung nodules. Computer-Aided Diagnosis 2017: 1013422 - 2016
- [j4]Lubomir M. Hadjiiski
Best-Quality Vessel Identification Using Vessel Quality Measure in Multiple-Phase Coronary CT Angiography. Comput. Math. Methods Medicine 2016: 1835297:1-1835297:13 (2016) - [c68]Trevor Exell, Lubomir M. Hadjiiski
Automatic detection of ureter lesions in CT urography. Computer-Aided Diagnosis 2016: 97851O - [c67]Sankeerth S. Garapati, Lubomir M. Hadjiiski
Automatic staging of bladder cancer on CT urography. Computer-Aided Diagnosis 2016: 97851G - [c66]Jun Wei, Chuan Zhou, Heang-Ping Chan
Computerized flow and vessel wall analyses of coronary arteries for detection of non-calcified plaques in coronary CT angiography. Computer-Aided Diagnosis 2016: 97853U - [c65]Chuan Zhou, Heang-Ping Chan
Automated identification of best-quality coronary artery segments from multiple-phase coronary CT angiography (cCTA) for vessel analysis. Computer-Aided Diagnosis 2016: 978503 - [c64]Ravi K. Samala
First and second-order features for detection of masses in digital breast tomosynthesis. Computer-Aided Diagnosis 2016: 978523 - 2015
- [c63]Jordan Liu, Lubomir M. Hadjiiski
Automatic selection of best quality vessels from multiple-phase coronary CT angiography (cCTA). Computer-Aided Diagnosis 2015: 94140E - [c62]Ravi K. Samala
Comparison of computer-aided detection of clustered microcalcifications in digital mammography and digital breast tomosynthesis. Computer-Aided Diagnosis 2015: 94140K - [c61]Jun Wei, Chuan Zhou, Heang-Ping Chan
Quantitative analysis of arterial flow properties for detection of non-calcified plaques in ECG-gated coronary CT angiography. Computer-Aided Diagnosis 2015: 94141H - [c60]Chuan Zhou, Heang-Ping Chan
Robustness evaluation of a computer-aided detection system for pulmonary embolism (PE) in CTPA using independent test set from multiple institutions. Computer-Aided Diagnosis 2015: 941408 - [c59]Ravi K. Samala
Digital breast tomosynthesis: application of 2D digital mammography CAD to detection of microcalcification clusters on planar projection image. Computer-Aided Diagnosis 2015: 941418 - 2014
- [c58]Jun Wei, Chuan Zhou, Heang-Ping Chan
Computerized luminal analysis for detection of non-calcified plaques in coronary CT angiography. Computer-Aided Diagnosis 2014: 90350R - [c57]Ravi K. Samala
Digital breast tomosynthesis: effects of projection-view distribution on computer-aided detection of microcalcification clusters. Computer-Aided Diagnosis 2014: 90350Y - [c56]David Zick, Lubomir M. Hadjiiski, Heang-Ping Chan
COMPASS-based ureter segmentation in CT urography (CTU). Computer-Aided Diagnosis 2014: 90352S - [c55]Chuan Zhou, Heang-Ping Chan
Automated identification of spinal cord and vertebras on sagittal MRI. Computer-Aided Diagnosis 2014: 903515 - 2013
- [c54]Ravi K. Samala
Detection of microcalcifications in breast tomosynthesis reconstructed with multiscale bilateral filtering regularization. Computer-Aided Diagnosis 2013: 86701L - [c53]Lubomir M. Hadjiiski
Computerized segmentation of ureters in CT urography (CTU) using COMPASS. Computer-Aided Diagnosis 2013: 86703B - [c52]Lubomir M. Hadjiiski
Automated registration of coronary arterial trees from multiple phases in coronary CT angiography (cCTA). Computer-Aided Diagnosis 2013: 86703M - [c51]Chuan Zhou, Heang-Ping Chan
Automatic identification of origins of left and right coronary arteries in CT angiography for coronary arterial tree tracking and plaque detection. Computer-Aided Diagnosis 2013: 86703L - [c50]Jun Wei, Chuan Zhou, Heang-Ping Chan
Computerized detection of non-calcified plaques in coronary CT angiography: topological soft-gradient detection method for plaque prescreening. Computer-Aided Diagnosis 2013: 867016 - [c49]Chuan Zhou, Heang-Ping Chan
Curved planar reformation and optimal path tracing (CROP) method for false positive reduction in computer-aided detection of pulmonary embolism in CTPA. Computer-Aided Diagnosis 2013: 867035 - [c48]Yanhui Guo, Chuan Zhou, Heang-Ping Chan
Multiscale intensity homogeneity transformation method and its application to computer-aided detection of pulmonary embolism in computed tomographic pulmonary angiography (CTPA). Computer-Aided Diagnosis 2013: 867036 - 2012
- [j3]Chuan Zhou, Heang-Ping Chan
Automated coronary artery tree extraction in coronary CT angiography using a multiscale enhancement and dynamic balloon tracking (MSCAR-DBT) method. Comput. Medical Imaging Graph. 36(1): 1-10 (2012) - [c47]Jun Wei, Heang-Ping Chan
Breast Parenchymal Pattern (BPP) Analysis: Comparison of Digital Mammograms and Breast Tomosynthesis. Digital Mammography / IWDM 2012: 514-520 - [c46]Yao Lu, Heang-Ping Chan
Improving Image Quality of Digital Breast Tomosynthesis by Artifact Reduction. Digital Mammography / IWDM 2012: 745-752 - [c45]Lubomir M. Hadjiiski
Segmentation of urinary bladder in CT Urography (CTU) using CLASS. Computer-Aided Diagnosis 2012: 83150J - [c44]Chuan Zhou, Heang-Ping Chan
Pulmonary vessel segmentation utilizing curved planar reformation and optimal path finding (CROP) in computed tomographic pulmonary angiography (CTPA) for CAD applications. Computer-Aided Diagnosis 2012: 83150N - [c43]Jun Wei, Heang-Ping Chan
Computer-aided detection of microcalcifications in digital breast tomosynthesis (DBT): a multichannel signal detection approach on projection views. Computer-Aided Diagnosis 2012: 83152D - [c42]Yanhui Guo, Chuan Zhou, Heang-Ping Chan
Automatic seed point identification and main artery segmentation for pulmonary vascular tree segmentation and tracking in computed tomographic pulmonary angiography (CTPA). Computer-Aided Diagnosis 2012: 83152P - 2011
- [c41]Chuan Zhou, Heang-Ping Chan
Computerized detection of pulmonary embolism in computed tomographic pulmonary angiography (CTPA): improvement of vessel segmentation. Computer-Aided Diagnosis 2011: 79630L - [c40]Jun Wei, Heang-Ping Chan
Computer-aided detection of breast masses in digital breast tomosynthesis (DBT): improvement of false positive reduction by optimization of object segmentation. Computer-Aided Diagnosis 2011: 796311 - [c39]Jun Wei, Heang-Ping Chan
Study of adaptability of breast density analysis system developed for screen film mammograms (SFMs) to full-field digital mammograms (FFDMs): robustness of parenchymal texture analysis. Computer-Aided Diagnosis 2011: 796320 - 2010
- [c38]Jun Wei, Heang-Ping Chan
Association of a mammographic parenchymal pattern (MPP) descriptor with breast cancer risk: a case-control study. Computer-Aided Diagnosis 2010: 76240A - [c37]Chuan Zhou, Heang-Ping Chan
Automated segmentation and tracking of coronary arteries in cardiac CT scans: comparison of performance with a clinically used commercial software. Computer-Aided Diagnosis 2010: 76240O - [c36]Heang-Ping Chan
Digital breast tomosynthesis: computerized detection of microcalcifications in reconstructed breast volume using a 3D approach. Computer-Aided Diagnosis 2010: 76241D - [c35]Lubomir M. Hadjiiski
Digital breast tomosynthesis: feasibility of automated detection of microcalcification clusters on projections views. Computer-Aided Diagnosis 2010: 76241F
2000 – 2009
- 2009
- [c34]Heang-Ping Chan
Comparison of computerized mass detection in digital breast tomosynthesis (DBT) mammograms and conventional mammograms. Computer-Aided Diagnosis 2009: 72600S - [c33]Chuan Zhou, Heang-Ping Chan
Evaluation of computerized detection of pulmonary embolism in independent data sets of computed tomographic pulmonary angiographic (CTPA) scans. Computer-Aided Diagnosis 2009: 72600B - [c32]Jun Wei, Heang-Ping Chan
Comparison of breast parenchymal pattern on prior mammograms of breast cancer patients and normal subjects. Computer-Aided Diagnosis 2009: 72602H - 2008
- [c31]Heang-Ping Chan
Detection of Masses in Digital Breast Tomosynthesis Mammography: Effects of the Number of Projection Views and Dose. Digital Mammography / IWDM 2008: 279-285 - [c30]Jiazheng Shi, Berkman Sahiner, Heang-Ping Chan
Breast Mass Classification on Full-Field Digital Mammography and Screen-Film Mammography. Digital Mammography / IWDM 2008: 371-377 - [c29]Chuan Zhou, Heang-Ping Chan
Automated segmentation and tracking of coronary arteries in ECG-gated cardiac CT scans. Computer-Aided Diagnosis 2008: 69150O - [c28]Jiazheng Shi, Berkman Sahiner, Heang-Ping Chan
Breast mass segmentation on dynamic contrast-enhanced magnetic resonance scans using the level set method. Computer-Aided Diagnosis 2008: 69152A - [c27]Heang-Ping Chan
Digital tomosynthesis mammography: comparison of mass classification using 3D slices and 2D projection views. Computer-Aided Diagnosis 2008: 691506 - [c26]Jun Wei, Heang-Ping Chan
Classification of breast masses and normal tissues in digital tomosynthesis mammography. Computer-Aided Diagnosis 2008: 691508 - [c25]Jun Ge, Heang-Ping Chan
Automated detection of breast vascular calcification on full-field digital mammograms. Computer-Aided Diagnosis 2008: 691517 - [c24]Yi-Ta Wu, Berkman Sahiner, Heang-Ping Chan
Comparison of mammographic parenchymal patterns of normal subjects and breast cancer patients. Computer-Aided Diagnosis 2008: 691520 - 2007
- [c23]Berkman Sahiner, Lubomir M. Hadjiiski
The effect of nodule segmentation on the accuracy of computerized lung nodule detection on CT scans: comparison on a data set annotated by multiple radiologists. Computer-Aided Diagnosis 2007: 65140L - [c22]Jiazheng Shi, Berkman Sahiner, Heang-Ping Chan
Pulmonary nodule registration in serial CT scans using rib anatomy and nodule template matching. Computer-Aided Diagnosis 2007: 65140R - [c21]Chuan Zhou, Heang-Ping Chan
Automated detection of pulmonary embolism (PE) in computed tomographic pulmonary angiographic (CTPA) images: multiscale hierachical expectation-maximization segmentation of vessels and PEs. Computer-Aided Diagnosis 2007: 65142F - [c20]Jun Wei, Berkman Sahiner, Heang-Ping Chan
Computer-aided detection of breast masses on prior mammograms. Computer-Aided Diagnosis 2007: 651405 - [c19]Heang-Ping Chan
Computer-aided detection of masses in digital tomosynthesis mammography: combination of 3D and 2D detection information. Computer-Aided Diagnosis 2007: 651416 - [c18]Yi-Ta Wu, Chuan Zhou, Lubomir M. Hadjiiski
A dynamic multiple thresholding method for automated breast boundary detection in digitized mammograms. Image Processing 2007: 65122U - [c17]Jun Ge, Heang-Ping Chan
Digital tomosynthesis mammography: intra- and interplane artifact reduction for high-contrast objects on reconstructed slices using a priori 3D geometrical information. Image Processing 2007: 65124Q - 2006
- [c16]Chuan Zhou, Heang-Ping Chan
Automatic pulmonary vessel segmentation in 3D computed tomographic pulmonary angiographic (CTPA) images. Image Processing 2006: 61444Q - [c15]Jun Wei, Berkman Sahiner, Yiheng Zhang, Heang-Ping Chan
Regularized discriminate analysis for breast mass detection on full field digital mammograms. Image Processing 2006: 61445P - [c14]Jun Ge, Berkman Sahiner, Heang-Ping Chan
Computer-aided detection of clustered microcalcifications on full-field digital mammograms: a two-view information fusion scheme for FP reduction. Image Processing 2006: 61445R - [c13]Berkman Sahiner, Lubomir M. Hadjiiski
Computerized lung nodule detection on screening CT scans: performance on juxta-pleural and internal nodules. Image Processing 2006: 61445S - [c12]Yi-Ta Wu, Lubomir M. Hadjiiski
Computer-aided detection of breast masses on mammograms: bilateral analysis for false positive reduction. Image Processing 2006: 614421 - [c11]Jun Wei, Berkman Sahiner, Lubomir M. Hadjiiski
Two-view information fusion for improvement of computer-aided detection (CAD) of breast masses on mammograms. Image Processing 2006: 614424 - 2005
- [j2]Yoshihiro Hagihara, Yukari Hagihara, Jun Wei:
Enhancement of CAD system for breast cancers by improvement of classifiers. Syst. Comput. Jpn. 36(9): 65-76 (2005) - [c10]Jun Wei, Berkman Sahiner, Lubomir M. Hadjiiski
Computer-aided detection of breast masses on mammograms: performance improvement using a dual system. Image Processing 2005 - [c9]Jun Ge, Jun Wei, Lubomir M. Hadjiiski
Computer-aided detection of microcalcification clusters on full-field digital mammograms: multiscale pyramid enhancement and false positive reduction using an artificial neural network. Image Processing 2005 - [c8]Berkman Sahiner, Lubomir M. Hadjiiski
Comparison of decision tree classifiers with neural network and linear discriminant analysis classifiers for computer-aided diagnosis: a Monte Carlo simulation study. Image Processing 2005 - [c7]Chuan Zhou, Lubomir M. Hadjiiski
Computerized pectoral muscle identification on MLO-view mammograms for CAD applications. Image Processing 2005 - 2004
- [j1]Sachiko Furuya, Jun Wei, Yoshihiro Hagihara, Akinobu Shimizu, Hidefumi Kobatake, Shigeru Nawano:
Improvement of performance to discriminate malignant tumors from normal tissue on mammograms by feature selection and evaluation of feature selection criteria. Syst. Comput. Jpn. 35(7): 72-84 (2004) - [c6]Jun Wei, Berkman Sahiner, Lubomir M. Hadjiiski
Computer-aided detection of breast masses on full-field digital mammograms: false positive reduction using gradient field analysis. Image Processing 2004 - [c5]Zhanyu Ge, Berkman Sahiner, Heang-Ping Chan
Computer-aided detection of lung nodules: false positive reduction using a 3D gradient field method. Image Processing 2004 - 2003
- [c4]Chuan Zhou, Lubomir M. Hadjiiski
Computerized detection of pulmonary embolism in 3D computed tomographic (CT) images: vessel tracking and segmentation techniques. Image Processing 2003 - 2000
- [c3]Hidefumi Kobatake, Jun Wei, Yoshihiro Hagihara, Akinobu Shimizu, Yukiyasu Yoshinaga:
Nonlinear Adaptive Convergence Index Filters and Their Characteristics. ICPR 2000: 3526-3529
1990 – 1999
- 1999
- [c2]Jun Wei, Yoshihiro Hagihara, Hidefumi Kobatake:
Detection of Rounded Opacities on Chest Radiographs Using Convergence Index Filter. ICIAP 1999: 757-761 - [c1]Jun Wei, Yoshihiro Hagihara, Hidefumi Kobatake:
Detection of Cancerous Tumors on Chest X-Ray Images Candidate Detection Filter and Its Evaluation. ICIP (3) 1999: 397-401
Coauthor Index
[c87] [c85] [c84] [j5] [c82] [c81] [c80] [c79] [c78] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [j4] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [j3] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4]
[c87] [c85] [c84] [j5] [c82] [c81] [c80] [c79] [c78] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [j4] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [j3] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4]
Jean Kuriakose
aka: Jean W. Kuriakose
aka: Jean W. Kuriakose
[c87] [c85] [c84] [j5] [c82] [c81] [c80] [c79] [c78] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [j4] [c68] [c67] [c66] [c65] [c63] [c61] [c60] [c58] [c56] [c55] [c53] [c52] [c51] [c50] [c49] [c48] [j3] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c33] [c32] [c29] [c28] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4]
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