Jianming Liang

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 71

Top Venues

CoRR

Medical Image Anal.

ISPRS Int. J. Geo Inf.

IEEE Trans. Medical Imaging

Publications

Xiaohao Cai, Youwei Wen, Jianming Liang
Editorial: Segmentation and classification: theories, algorithms and applications. Frontiers Comput. Sci. 6 (2024)
Nahid Ul Islam, Zongwei Zhou, Shiv Gehlot, Michael B. Gotway, Jianming Liang
Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism. Medical Image Anal. 91 (2024)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial? Medical Image Anal. 94 (2024)
Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision. CoRR (2024)
Zuwei Guo, Nahid Ul Islam, Michael B. Gotway, Jianming Liang
Stepwise incremental pretraining for integrating discriminative, restorative, and adversarial learning. Medical Image Anal. 95 (2024)
Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision. DART@MICCAI (2023)
Tong Zhou, Chenxi Zhang, Xin Peng, Zhenghui Yan, Pairui Li, Jianming Liang, Haibing Zheng, Wujie Zheng, Yuetang Deng
TraceStream: Anomalous Service Localization based on Trace Stream Clustering with Online Feedback. ISSRE (2023)
Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
Learning Anatomically Consistent Embedding for Chest Radiography. BMVC (2023)
Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
Learning Anatomically Consistent Embedding for Chest Radiography. CoRR (2023)
Dongao Ma, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance. MICCAI (1) (2023)
Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-Supervision. CoRR (2023)
Dongao Ma, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance. CoRR (2023)
Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo
Large-batch Optimization for Dense Visual Predictions. CoRR (2022)
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging. CoRR (2022)
Jianming Liang, Guanglu Song, Biao Leng, Yu Liu
Unifying Visual Perception by Dispersible Points Learning. ECCV (9) (2022)
Dongao Ma, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Nahid Ul Islam, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang
Benchmarking and Boosting Transformers for Medical Image Classification. DART@MICCAI (2022)
Jianming Liang, Guanglu Song, Biao Leng, Yu Liu
Unifying Visual Perception by Dispersible Points Learning. CoRR (2022)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis. CoRR (2022)
Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo
Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes. NeurIPS (2022)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis. CVPR (2022)
Zuwei Guo, Nahid Ul Islam, Michael B. Gotway, Jianming Liang
Discriminative, Restorative, and Adversarial Learning: Stepwise Incremental Pretraining. DART@MICCAI (2022)
Jiaxuan Pang, Fatemeh Haghighi, DongAo Ma, Nahid Ul Islam, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image Analysis. DART@MICCAI (2022)
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging. MIDL (2022)
Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. CoRR (2021)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning. CoRR (2021)
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis. DART/FAIR@MICCAI (2021)
Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. MLMI@MICCAI (2021)
Qingsheng Yuan, Gang Sun, Jianming Liang, Biao Leng
Efficient Weakly-Supervised Object Detection With Pseudo Annotations. IEEE Access 9 (2021)
Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
Models Genesis. Medical Image Anal. 67 (2021)
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis. CoRR (2021)
Nima Tajbakhsh, Holger Roth, Demetri Terzopoulos, Jianming Liang
Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical Imaging. IEEE Trans. Medical Imaging 40 (10) (2021)
Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang
Active, continual fine tuning of convolutional neural networks for reducing annotation efforts. Medical Image Anal. 71 (2021)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning. IEEE Trans. Medical Imaging 40 (10) (2021)
Germán González, Daniel Jimenez-Carretero, Sara Rodríguez-López, Carlos Cano-Espinosa, Miguel Cazorla, Tanya Agarwal, Vinit Agarwal, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang, Mojtaba Masoudi, Noushin Eftekhari, Mahdi Saadatmand Tarzjan, Hamid-Reza Pourreza, Patricia Fraga-Rivas, Eduardo Fraile Moreno, Frank J. Rybicki, Ara Kassarjian, Raúl San José Estépar, María J. Ledesma-Carbayo
Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE). CoRR (2020)
Dong Wu, Jianhua Gong, Jianming Liang, Jin Sun, Guoyong Zhang
Analyzing the Influence of Urban Street Greening and Street Buildings on Summertime Air Pollution Based on Street View Image Data. ISPRS Int. J. Geo Inf. 9 (9) (2020)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration. CoRR (2020)
Jianming Liang, Jianhua Gong, Xiuping Xie, Jun Sun
Solar3D: An Open-Source Tool for Estimating Solar Radiation in Urban Environments. ISPRS Int. J. Geo Inf. 9 (9) (2020)
Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
Models Genesis. CoRR (2020)
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration. MICCAI (1) (2020)
Ruibin Feng, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Parts2Whole: Self-supervised Contrastive Learning via Reconstruction. DART/DCL@MICCAI (2020)
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation. IEEE Trans. Medical Imaging 39 (6) (2020)
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation. CoRR (2019)
Nima Tajbakhsh, Yufei Hu, Junli Cao, Xingjian Yan, Yi Xiao, Yong Lu, Jianming Liang, Demetri Terzopoulos, Xiaowei Ding
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data. CoRR (2019)
Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. CoRR (2019)
Nima Tajbakhsh, Jae Y. Shin, Michael B. Gotway, Jianming Liang
Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation. Medical Image Anal. 58 (2019)
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. CoRR (2019)
Nima Tajbakhsh, Yufei Hu, Junli Cao, Xingjian Yan, Yi Xiao, Yong Lu, Jianming Liang, Demetri Terzopoulos, Xiaowei Ding
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data. ISBI (2019)
Wujie Zheng, Haochuan Lu, Yangfan Zhou, Jianming Liang, Haibing Zheng, Yuetang Deng
iFeedback: Exploiting User Feedback for Real-Time Issue Detection in Large-Scale Online Service Systems. ASE (2019)
Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. ICCV (2019)
Zongwei Zhou, Jae Y. Shin, Ruibin Feng, R. Todd Hurst, Christopher B. Kendall, Jianming Liang
Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation. J. Digit. Imaging 32 (2) (2019)
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. MICCAI (4) (2019)
Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang
AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts. CoRR (2018)
Jiantao Liu, Quanlong Feng, Jianhua Gong, Jieping Zhou, Jianming Liang, Yi Li
Winter wheat mapping using a random forest classifier combined with multi-temporal and multi-sensor data. Int. J. Digit. Earth 11 (8) (2018)
Jianming Liang, Jianhua Gong, Yu Liu
Introduction to the Special Issue: "State-of-the-Art Virtual/Augmented Reality and 3D Modeling Techniques for Virtual Urban Geographic Experiments". ISPRS Int. J. Geo Inf. 7 (9) (2018)
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
UNet++: A Nested U-Net Architecture for Medical Image Segmentation. DLMIA/ML-CDS@MICCAI (2018)
Shen Shen, Jianhua Gong, Jianming Liang, Wenhang Li, Dong Zhang, Lin Huang, Guoyong Zhang
A Heterogeneous Distributed Virtual Geographic Environment - Potential Application in Spatiotemporal Behavior Experiments. ISPRS Int. J. Geo Inf. 7 (2) (2018)
Lin Huang, Jianhua Gong, Wenhang Li, Tao Xu, Shen Shen, Jianming Liang, Quanlong Feng, Dong Zhang, Jun Sun
Social Force Model-Based Group Behavior Simulation in Virtual Geographic Environments. ISPRS Int. J. Geo Inf. 7 (2) (2018)
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
UNet++: A Nested U-Net Architecture for Medical Image Segmentation. CoRR (2018)
Jae Y. Shin, Nima Tajbakhsh, R. Todd Hurst, Christopher B. Kendall, Jianming Liang
Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks. CoRR (2017)
Jianming Liang, Shen Shen, Jianhua Gong, Jin Liu, Jinming Zhang
Embedding user-generated content into oblique airborne photogrammetry-based 3D city model. Int. J. Geogr. Inf. Sci. 31 (1) (2017)
Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? CoRR (2017)
Jianming Liang, Jianhua Gong
A Sparse Voxel Octree-Based Framework for Computing Solar Radiation Using 3D City Models. ISPRS Int. J. Geo Inf. 6 (4) (2017)
Jianming Liang, Jianhua Gong, Jun Sun, Jieping Zhou, Wenhang Li, Yi Li, Jin Liu, Shen Shen
Automatic Sky View Factor Estimation from Street View Photographs - A Big Data Approach. Remote. Sens. 9 (5) (2017)
Jorge Bernal, Nima Tajkbaksh, Francisco Javier Sánchez, Bogdan J. Matuszewski, Hao Chen, Lequan Yu, Quentin Angermann, Olivier Romain, Bjorn Rustad, Ilangko Balasingham, Konstantin Pogorelov, Sungbin Choi, Quentin Debard, Lena Maier-Hein, Stefanie Speidel, Danail Stoyanov, Patrick Brandao, Henry Córdova, Cristina Sánchez-Montes, Suryakanth R. Gurudu, Gloria Fernández-Esparrach, Xavier Dray, Jianming Liang, Aymeric Histace
Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge. IEEE Trans. Medical Imaging 36 (6) (2017)
Zongwei Zhou, Jae Y. Shin, Lei Zhang, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang
Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally. CVPR (2017)
Jin Liu, Jianhua Gong, Jianming Liang, Yi Li, Lin-Chong Kang, Li-Li Song, Sui-Xiang Shi
A quantitative method for storm surge vulnerability assessment - a case study of Weihai city. Int. J. Digit. Earth 10 (5) (2017)
Zijie Yuan, Mohammadhassan Izadyyazdanabadi, Divya Mokkapati, Rujuta Panvalkar, Jae Y. Shin, Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
Automatic polyp detection in colonoscopy videos. Medical Imaging: Image Processing (2017)
Jianming Liang, Jianhua Gong, Jin Liu, Yuling Zou, Jinming Zhang, Jun Sun, Shuisen Chen
Generating Orthorectified Multi-Perspective 2.5D Maps to Facilitate Web GIS-Based Visualization and Exploitation of Massive 3D City Models. ISPRS Int. J. Geo Inf. 5 (11) (2016)
Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? IEEE Trans. Medical Imaging 35 (5) (2016)
Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information. IEEE Trans. Medical Imaging 35 (2) (2016)
Jae Y. Shin, Nima Tajbakhsh, R. Todd Hurst, Christopher B. Kendall, Jianming Liang
Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks. CVPR (2016)
Jianming Liang, Jianhua Gong, Jieping Zhou, Ibrahim Abdoul Nasser, Ming Li
An open-source 3D solar radiation model integrated with a 3D Geographic Information System. Environ. Model. Softw. 64 (2015)
Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos. IPMI (2015)
Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks. ISBI (2015)
Yi Li, Jianhua Gong, Heng Liu, Jun Zhu, Yiquan Song, Jianming Liang
Real-time flood simulations using CA model driven by dynamic observation data. Int. J. Geogr. Inf. Sci. 29 (4) (2015)
Jianming Liang, Jianhua Gong, Yi Li
Realistic rendering for physically based shallow water simulation in Virtual Geographic Environments (VGEs). Ann. GIS 21 (4) (2015)
Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks. MICCAI (2) (2015)
Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
Automatic Polyp Detection Using Global Geometric Constraints and Local Intensity Variation Patterns. MICCAI (2) (2014)
Rina Dewi Rudyanto, Sjoerd Kerkstra, Eva M. van Rikxoort, Catalin I. Fetita, Pierre-Yves Brillet, Christophe Lefevre, Wenzhe Xue, Xiangjun Zhu, Jianming Liang, Ilkay Öksüz, Devrim Ünay, Kamuran Kadipasaoglu, Raúl San José Estépar, James C. Ross, George R. Washko, Juan-Carlos Prieto, Marcela Hernández Hoyos, Maciej Orkisz, Hans Meine, Markus Hüllebrand, Christina Stöcker, Fernando López-Mir, Valery Naranjo, Eliseo Villanueva, Marius Staring, Changyan Xiao, Berend C. Stoel, Anna Fabijanska, Erik Smistad
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study. Medical Image Anal. 18 (7) (2014)
Jianming Liang, Jianhua Gong, Wenhang Li, Ibrahim Abdoul Nasser
A visualization-oriented 3D method for efficient computation of urban solar radiation based on 3D-2D surface mapping. Int. J. Geogr. Inf. Sci. 28 (4) (2014)
Jianming Liang, Jianhua Gong, Wenhang Li, Ibrahim Abdoul Nasser
Visualizing 3D atmospheric data with spherical volume texture on virtual globes. Comput. Geosci. 68 (2014)
Nima Tajbakhsh, Changching Chi, Suryakanth R. Gurudu, Jianming Liang
Automatic polyp detection from learned boundaries. ISBI (2014)
Nima Tajbakhsh, Changching Chi, Haripriya Sharma, Qing Wu, Suryakanth R. Gurudu, Jianming Liang
Automatic Assessment of Image Informativeness in Colonoscopy. ABDI@MICCAI (2014)
Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps. Abdominal Imaging (2013)
Nima Tajbakhsh, Hong Wu, Wenzhe Xue, Michael B. Gotway, Jianming Liang
A novel online boosting algorithm for automatic anatomy detection. Mach. Vis. Appl. 24 (7) (2013)
Hong Wu, Nima Tajbakhsh, Wenzhe Xue, Jianming Liang
Self-adaptive asymmetric on-line boosting for detecting anatomical structures. Medical Imaging: Computer-Aided Diagnosis (2012)
Hong Wu, Kun Deng, Jianming Liang
Machine learning-based automatic detection of pulmonary trunk. Medical Imaging: Computer-Aided Diagnosis (2011)
Nima Tajbakhsh, Hong Wu, Wenzhe Xue, Jianming Liang
Automated Detection of Major Thoracic Structures with a Novel Online Learning Method. MLMI (2011)
Hassan Rivaz, Yoshihisa Shinagawa, Jianming Liang
Physical priors in virtual colonoscopy. Medical Imaging: Computer-Aided Diagnosis (2009)
Le Lu, Matthias Wolf, Jianming Liang, Murat Dundar, Jinbo Bi, Marcos Salganicoff
A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings. MICCAI (1) (2009)
Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang, Marcos Salganicoff, Dorin Comaniciu
Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model. CVPR (2008)
Bernard Ghanem, Jianming Liang, Jinbo Bi, Marcos Salganicoff, Arun Krishnan
Reduction of lymph tissue false positives in pulmonary embolism detection. Medical Imaging: Computer-Aided Diagnosis (2008)
Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang, Luca Bogoni, Marcos Salganicoff, Dorin Comaniciu
Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography. ECCV (4) (2008)
Jinbo Bi, Jianming Liang
Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure. CVPR (2007)
Jianming Liang, Jinbo Bi
Computer Aided Detection of Pulmonary Embolism with Tobogganing and Mutiple Instance Classification in CT Pulmonary Angiography. IPMI (2007)
Jianming Liang, Tim McInerney, Demetri Terzopoulos
United Snakes. Medical Image Anal. 10 (2) (2006)
Terran Lane, R. Bharat Rao, Jinbo Bi, Jianming Liang, Marcos Salganicoff
On the medical frontier: the 2006 KDD Cup competition and results. SIGKDD Explor. 8 (2) (2006)
Pascal Cathier, Senthil Periaswamy, Anna K. Jerebko, Murat Dundar, Jianming Liang, Glenn Fung, Jonathan Stoeckel, T. Venkata, R. Amara, Arun Krishnan, R. Bharat Rao, Alok Gupta, E. Vega, Shaked Laks, A. Megibow, Michael Macari, Luca Bogoni
CAD for polyp detection: an invaluable tool to meet the increasing need for colon-cancer screening. CARS (2004)
Jianming Liang, Timo Järvi, Aaro Kiuru, Martti Kormano, Erkki Svedström
Dynamic Chest Image Analysis: Model-Based Perfusion Analysis in Dynamic Pulmonary Imaging. EURASIP J. Adv. Signal Process. 2003 (5) (2003)
Jianming Liang, Tim McInerney, Demetri Terzopoulos
United Snakes. ICCV (1999)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jianming Liang