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2020 – today
- 2024
[j36]Xiaohao Cai
, Youwei Wen, Jianming Liang:
Editorial: Segmentation and classification: theories, algorithms and applications. Frontiers Comput. Sci. 6 (2024)- [j35]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: 102988 (2024) - [j34]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: 103086 (2024) - [j33]Zuwei Guo, Nahid Ul Islam, Michael B. Gotway, Jianming Liang:
Stepwise incremental pretraining for integrating discriminative, restorative, and adversarial learning. Medical Image Anal. 95: 103159 (2024) - [c46]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. CVPR 2024: 11269-11281 - [c45]Jiaxuan Pang, Dongao Ma, Ziyu Zhou, Michael B. Gotway, Jianming Liang:
ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-Grained Appearance for CT Images. MICCAI (11) 2024: 91-101 - [i22]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 abs/2404.15672 (2024) - 2023
- [c44]Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang:
Learning Anatomically Consistent Embedding for Chest Radiography. BMVC 2023: 617-619 - [c43]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: 601-611 - [c42]Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang:
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision. DART@MICCAI 2023: 94-104 - [c41]Dongao Ma, Jiaxuan Pang, Michael B. Gotway, Jianming Liang:
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance. MICCAI (1) 2023: 651-662 - [i21]Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang:
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-Supervision. CoRR abs/2309.15358 (2023) - [i20]Dongao Ma, Jiaxuan Pang, Michael B. Gotway, Jianming Liang:
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance. CoRR abs/2310.09507 (2023) - [i19]Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang:
Learning Anatomically Consistent Embedding for Chest Radiography. CoRR abs/2312.00335 (2023) - 2022
- [c40]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: 20792-20802 - [c39]Jianming Liang, Guanglu Song, Biao Leng, Yu Liu:
Unifying Visual Perception by Dispersible Points Learning. ECCV (9) 2022: 439-456 - [c38]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: 12-22 - [c37]Zuwei Guo, Nahid Ul Islam, Michael B. Gotway, Jianming Liang:
Discriminative, Restorative, and Adversarial Learning: Stepwise Incremental Pretraining. DART@MICCAI 2022: 66-76 - [c36]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: 77-87 - [c35]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: 535-551 - [c34]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 - [i18]Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang:
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging. CoRR abs/2204.07344 (2022) - [i17]Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang:
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis. CoRR abs/2204.10437 (2022) - [i16]Jianming Liang, Guanglu Song, Biao Leng, Yu Liu:
Unifying Visual Perception by Dispersible Points Learning. CoRR abs/2208.08630 (2022) - [i15]Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo:
Large-batch Optimization for Dense Visual Predictions. CoRR abs/2210.11078 (2022) - 2021
- [j32]Qingsheng Yuan, Gang Sun, Jianming Liang, Biao Leng:
Efficient Weakly-Supervised Object Detection With Pseudo Annotations. IEEE Access 9: 104356-104366 (2021) - [j31]Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang:
Models Genesis. Medical Image Anal. 67: 101840 (2021) - [j30]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: 101997 (2021) - [j29]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): 2526-2533 (2021) - [j28]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): 2857-2868 (2021) - [c33]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: 3-13 - [c32]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: 692-702 - [i14]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 abs/2102.10680 (2021) - [i13]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 abs/2108.05930 (2021) - [i12]Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang:
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. CoRR abs/2109.07029 (2021) - 2020
- [j27]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): 500 (2020) - [j26]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): 524 (2020) - [j25]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): 1856-1867 (2020) - [c31]Ruibin Feng, Zongwei Zhou, Michael B. Gotway, Jianming Liang:
Parts2Whole: Self-supervised Contrastive Learning via Reconstruction. DART/DCL@MICCAI 2020: 85-95 - [c30]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: 137-147 - [i11]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 abs/2003.13440 (2020) - [i10]Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang:
Models Genesis. CoRR abs/2004.07882 (2020) - [i9]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 abs/2007.06959 (2020)
2010 – 2019
- 2019
- [j24]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): 290-299 (2019) - [j23]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) - [c29]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: 191-200 - [c28]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: 1251-1255 - [c27]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: 352-363 - [c26]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: 384-393 - [i8]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 abs/1901.08707 (2019) - [i7]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 abs/1908.06912 (2019) - [i6]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 abs/1908.06965 (2019) - [i5]Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang:
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation. CoRR abs/1912.05074 (2019) - 2018
- [j22]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): 783-802 (2018) - [j21]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): 54 (2018) - [j20]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): 79 (2018) - [j19]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): 366 (2018) - [c25]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: 3-11 - [i4]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 abs/1802.00912 (2018) - [i3]Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang:
UNet++: A Nested U-Net Architecture for Medical Image Segmentation. CoRR abs/1807.10165 (2018) - 2017
- [j18]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): 539-559 (2017) - [j17]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) - [j16]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): 106 (2017) - [j15]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): 411 (2017) - [j14]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): 1231-1249 (2017) - [c24]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: 4761-4772 - [c23]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: 101332K - [p2]Nima Tajbakhsh, Jae Y. Shin, R. Todd Hurst, Christopher B. Kendall, Jianming Liang:
Automatic Interpretation of Carotid Intima-Media Thickness Videos Using Convolutional Neural Networks. Deep Learning for Medical Image Analysis 2017: 105-131 - [p1]Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang:
On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 181-193 - [i2]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 abs/1706.00712 (2017) - [i1]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 abs/1706.00719 (2017) - 2016
- [j13]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): 212 (2016) - [j12]Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang:
Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information. IEEE Trans. Medical Imaging 35(2): 630-644 (2016) - [j11]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): 1299-1312 (2016) - [c22]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: 2526-2535 - 2015
- [j10]Jianming Liang, Jianhua Gong, Yi Li:
Realistic rendering for physically based shallow water simulation in Virtual Geographic Environments (VGEs). Ann. GIS 21(4): 301-312 (2015) - [j9]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: 94-101 (2015) - [j8]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): 523-535 (2015) - [c21]Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang:
A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos. IPMI 2015: 327-338 - [c20]Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang:
Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks. ISBI 2015: 79-83 - [c19]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: 62-69 - 2014
- [j7]Jianming Liang, Jianhua Gong, Wenhang Li, Ibrahim Abdoul Nasser:
Visualizing 3D atmospheric data with spherical volume texture on virtual globes. Comput. Geosci. 68: 81-91 (2014) - [j6]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): 780-798 (2014) - [j5]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): 1217-1232 (2014) - [c18]Nima Tajbakhsh, Changching Chi, Suryakanth R. Gurudu, Jianming Liang:
Automatic polyp detection from learned boundaries. ISBI 2014: 97-100 - [c17]Nima Tajbakhsh, Changching Chi, Haripriya Sharma, Qing Wu, Suryakanth R. Gurudu, Jianming Liang:
Automatic Assessment of Image Informativeness in Colonoscopy. ABDI@MICCAI 2014: 151-158 - [c16]Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang:
Automatic Polyp Detection Using Global Geometric Constraints and Local Intensity Variation Patterns. MICCAI (2) 2014: 179-187 - 2013
- [j4]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): 1359-1370 (2013) - [c15]Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang:
A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps. Abdominal Imaging 2013: 53-62 - 2012
- [c14]Hong Wu, Nima Tajbakhsh, Wenzhe Xue, Jianming Liang:
Self-adaptive asymmetric on-line boosting for detecting anatomical structures. Medical Imaging: Computer-Aided Diagnosis 2012: 831539 - 2011
- [c13]Hong Wu, Kun Deng, Jianming Liang:
Machine learning-based automatic detection of pulmonary trunk. Medical Imaging: Computer-Aided Diagnosis 2011: 79630K - [c12]Nima Tajbakhsh, Hong Wu, Wenzhe Xue, Jianming Liang:
Automated Detection of Major Thoracic Structures with a Novel Online Learning Method. MLMI 2011: 273-281
2000 – 2009
- 2009
- [c11]Hassan Rivaz, Yoshihisa Shinagawa, Jianming Liang:
Physical priors in virtual colonoscopy. Medical Imaging: Computer-Aided Diagnosis 2009: 726019 - [c10]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: 1009-1016 - 2008
- [c9]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 - [c8]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: 465-478 - [c7]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: 69151C - 2007
- [c6]Jinbo Bi, Jianming Liang:
Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure. CVPR 2007 - [c5]Jianming Liang, Jinbo Bi:
Computer Aided Detection of Pulmonary Embolism with Tobogganing and Mutiple Instance Classification in CT Pulmonary Angiography. IPMI 2007: 630-641 - 2006
- [j3]Jianming Liang, Tim McInerney, Demetri Terzopoulos:
United Snakes. Medical Image Anal. 10(2): 215-233 (2006) - [j2]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): 39-46 (2006) - 2004
- [c4]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: 978-982 - 2003
- [j1]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): 437-448 (2003)
1990 – 1999
- 1999
- [c3]Jianming Liang, Tim McInerney, Demetri Terzopoulos:
United Snakes. ICCV 1999: 933-940 - [c2]Jianming Liang, Tim McInerney, Demetri Terzopoulos:
Interactive Medical Image Segmentation with United Snakes. MICCAI 1999: 116-127 - 1994
- [c1]Jianming Liang, Qinliang Ren, Zhuoqun Xu, Jiaqing Fang:
Causal Networks and Their Toolkit in KSE. IPMU 1994: 139-148
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-11 18:19 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
