Causal Networks and Their Toolkit in KSE. - Jianming Liang; Qinliang Ren; Zhuoqun Xu; Jiaqing Fang (IPMU, 1994)

Interactive Medical Image Segmentation with United Snakes. - Jianming Liang; Tim McInerney; Demetri Terzopoulos (MICCAI, 1999)

Dynamic Chest Image Analysis: Model-Based Perfusion Analysis in Dynamic Pulmonary Imaging. - Jianming Liang; Timo Järvi; Aaro Kiuru; Martti Kormano; Erkki Svedström (EURASIP J. Adv. Signal Process., 2003)

CAD for polyp detection: an invaluable tool to meet the increasing need for colon-cancer screening. - 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; et al. (CARS, 2004)

United Snakes. - Jianming Liang; Tim McInerney; Demetri Terzopoulos (Medical Image Anal., 2006)

On the medical frontier: the 2006 KDD Cup competition and results. - Terran Lane; R. Bharat Rao; Jinbo Bi; Jianming Liang; Marcos Salganicoff (SIGKDD Explor., 2006)

Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure. - Jinbo Bi; Jianming Liang (CVPR, 2007)

Computer Aided Detection of Pulmonary Embolism with Tobogganing and Mutiple Instance Classification in CT Pulmonary Angiography. - Jianming Liang; Jinbo Bi (IPMI, 2007)

Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model. - Le Lu 001; Adrian Barbu; Matthias Wolf 001; Jianming Liang; Marcos Salganicoff; Dorin Comaniciu (CVPR, 2008)

Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography. - Le Lu 001; Adrian Barbu; Matthias Wolf 001; Jianming Liang; Luca Bogoni; Marcos Salganicoff; Dorin Comaniciu (ECCV (4), 2008)

Reduction of lymph tissue false positives in pulmonary embolism detection. - Bernard Ghanem; Jianming Liang; Jinbo Bi; Marcos Salganicoff; Arun Krishnan (Computer-Aided Diagnosis, 2008)

Physical priors in virtual colonoscopy. - Hassan Rivaz; Yoshihisa Shinagawa; Jianming Liang (Computer-Aided Diagnosis, 2009)

A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings. - Le Lu 001; Matthias Wolf 001; Jianming Liang; Murat Dundar; Jinbo Bi; Marcos Salganicoff (MICCAI (1), 2009)

Machine learning-based automatic detection of pulmonary trunk. - Hong Wu; Kun Deng; Jianming Liang (Computer-Aided Diagnosis, 2011)

Automated Detection of Major Thoracic Structures with a Novel Online Learning Method. - Nima Tajbakhsh; Hong Wu; Wenzhe Xue; Jianming Liang (MLMI, 2011)

Self-adaptive asymmetric on-line boosting for detecting anatomical structures. - Hong Wu; Nima Tajbakhsh; Wenzhe Xue; Jianming Liang (Computer-Aided Diagnosis, 2012)

A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps. - Nima Tajbakhsh; Suryakanth R. Gurudu; Jianming Liang (Abdominal Imaging, 2013)

A novel online boosting algorithm for automatic anatomy detection. - Nima Tajbakhsh; Hong Wu; Wenzhe Xue; Michael B. Gotway; Jianming Liang (Mach. Vis. Appl., 2013)

Automatic polyp detection from learned boundaries. - Nima Tajbakhsh; Changching Chi; Suryakanth R. Gurudu; Jianming Liang (ISBI, 2014)

Automatic Assessment of Image Informativeness in Colonoscopy. - Nima Tajbakhsh; Changching Chi; Haripriya Sharma; Qing Wu; Suryakanth R. Gurudu; Jianming Liang (ABDI@MICCAI, 2014)

Automatic Polyp Detection Using Global Geometric Constraints and Local Intensity Variation Patterns. - Nima Tajbakhsh; Suryakanth R. Gurudu; Jianming Liang (MICCAI (2), 2014)

Visualizing 3D atmospheric data with spherical volume texture on virtual globes. - Jianming Liang; Jianhua Gong; Wenhang Li; Ibrahim Abdoul Nasser (Comput. Geosci., 2014)

A visualization-oriented 3D method for efficient computation of urban solar radiation based on 3D-2D surface mapping. - Jianming Liang; Jianhua Gong; Wenhang Li; Ibrahim Abdoul Nasser (Int. J. Geogr. Inf. Sci., 2014)

Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study. - 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; et al. (Medical Image Anal., 2014)

A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos. - Nima Tajbakhsh; Suryakanth R. Gurudu; Jianming Liang (IPMI, 2015)

Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks. - Nima Tajbakhsh; Suryakanth R. Gurudu; Jianming Liang (ISBI, 2015)

Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks. - Nima Tajbakhsh; Michael B. Gotway; Jianming Liang (MICCAI (2), 2015)

Realistic rendering for physically based shallow water simulation in Virtual Geographic Environments (VGEs). - Jianming Liang; Jianhua Gong; Yi Li 024 (Ann. GIS, 2015)

An open-source 3D solar radiation model integrated with a 3D Geographic Information System. - Jianming Liang; Jianhua Gong; Jieping Zhou; Ibrahim Abdoul Nasser; Ming Li (Environ. Model. Softw., 2015)

Real-time flood simulations using CA model driven by dynamic observation data. - Yi Li 024; Jianhua Gong; Heng Liu; Jun Zhu 007; Yiquan Song; Jianming Liang (Int. J. Geogr. Inf. Sci., 2015)

Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks. - Jae Y. Shin; Nima Tajbakhsh; R. Todd Hurst; Christopher B. Kendall; Jianming Liang (CVPR, 2016)

Generating Orthorectified Multi-Perspective 2.5D Maps to Facilitate Web GIS-Based Visualization and Exploitation of Massive 3D City Models. - Jianming Liang; Jianhua Gong; Jin Liu; Yuling Zou; Jinming Zhang; Jun Sun 021; Shuisen Chen (ISPRS Int. J. Geo Inf., 2016)

Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information. - Nima Tajbakhsh; Suryakanth R. Gurudu; Jianming Liang (IEEE Trans. Medical Imaging, 2016)

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? - Nima Tajbakhsh; Jae Y. Shin; Suryakanth R. Gurudu; R. Todd Hurst; Christopher B. Kendall; Michael B. Gotway; Jianming Liang (IEEE Trans. Medical Imaging, 2016)

Automatic Interpretation of Carotid Intima-Media Thickness Videos Using Convolutional Neural Networks. - Nima Tajbakhsh; Jae Y. Shin; R. Todd Hurst; Christopher B. Kendall; Jianming Liang (Deep Learning for Medical Image Analysis, 2017)

Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally. - Zongwei Zhou; Jae Y. Shin; Lei Zhang; Suryakanth R. Gurudu; Michael B. Gotway; Jianming Liang (CVPR, 2017)

Automatic polyp detection in colonoscopy videos. - Zijie Yuan; Mohammadhassan Izadyyazdanabadi; Divya Mokkapati; Rujuta Panvalkar; Jae Y. Shin; Nima Tajbakhsh; Suryakanth R. Gurudu; Jianming Liang (Image Processing, 2017)

A quantitative method for storm surge vulnerability assessment - a case study of Weihai city. - Jin Liu; Jianhua Gong; Jianming Liang; Yi Li 024; Lin-Chong Kang; Li-Li Song; Sui-Xiang Shi (Int. J. Digit. Earth, 2017)

Embedding user-generated content into oblique airborne photogrammetry-based 3D city model. - Jianming Liang; Shen Shen; Jianhua Gong; Jin Liu; Jinming Zhang (Int. J. Geogr. Inf. Sci., 2017)

A Sparse Voxel Octree-Based Framework for Computing Solar Radiation Using 3D City Models. - Jianming Liang; Jianhua Gong (ISPRS Int. J. Geo Inf., 2017)

Automatic Sky View Factor Estimation from Street View Photographs - A Big Data Approach. - Jianming Liang; Jianhua Gong; Jun Sun 021; Jieping Zhou; Wenhang Li; Yi Li 024; Jin Liu; Shen Shen (Remote. Sens., 2017)

Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge. - Jorge Bernal; Nima Tajkbaksh; Francisco Javier Sánchez; Bogdan J. Matuszewski; Hao Chen 011; Lequan Yu; Quentin Angermann; Olivier Romain; Bjorn Rustad; Ilangko Balasingham; Konstantin Pogorelov; Sungbin Choi; et al. (IEEE Trans. Medical Imaging, 2017)

On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging. - Nima Tajbakhsh; Jae Y. Shin; Suryakanth R. Gurudu; R. Todd Hurst; Christopher B. Kendall; Michael B. Gotway; Jianming Liang (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

UNet++: A Nested U-Net Architecture for Medical Image Segmentation. - Zongwei Zhou; Md Mahfuzur Rahman Siddiquee; Nima Tajbakhsh; Jianming Liang (DLMIA/ML-CDS@MICCAI, 2018)

AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts. - Zongwei Zhou; Jae Y. Shin; Suryakanth R. Gurudu; Michael B. Gotway; Jianming Liang (CoRR, 2018)

Winter wheat mapping using a random forest classifier combined with multi-temporal and multi-sensor data. - Jiantao Liu; Quanlong Feng; Jianhua Gong; Jieping Zhou; Jianming Liang; Yi Li 024 (Int. J. Digit. Earth, 2018)

Introduction to the Special Issue: "State-of-the-Art Virtual/Augmented Reality and 3D Modeling Techniques for Virtual Urban Geographic Experiments". - Jianming Liang; Jianhua Gong; Yu Liu 003 (ISPRS Int. J. Geo Inf., 2018)

A Heterogeneous Distributed Virtual Geographic Environment - Potential Application in Spatiotemporal Behavior Experiments. - Shen Shen; Jianhua Gong; Jianming Liang; Wenhang Li; Dong Zhang; Lin Huang; Guoyong Zhang (ISPRS Int. J. Geo Inf., 2018)

Social Force Model-Based Group Behavior Simulation in Virtual Geographic Environments. - Lin Huang; Jianhua Gong; Wenhang Li; Tao Xu; Shen Shen; Jianming Liang; Quanlong Feng; Dong Zhang; Jun Sun 021 (ISPRS Int. J. Geo Inf., 2018)

Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. - Md Mahfuzur Rahman Siddiquee; Zongwei Zhou; Nima Tajbakhsh; Ruibin Feng; Michael B. Gotway; Yoshua Bengio; Jianming Liang (ICCV, 2019)

Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data. - Nima Tajbakhsh; Yufei Hu; Junli Cao; Xingjian Yan; Yi Xiao; Yong Lu; Jianming Liang; Demetri Terzopoulos; Xiaowei Ding (ISBI, 2019)

iFeedback: Exploiting User Feedback for Real-Time Issue Detection in Large-Scale Online Service Systems. - Wujie Zheng; Haochuan Lu; Yangfan Zhou; Jianming Liang; Haibing Zheng; Yuetang Deng (ASE, 2019)

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. - Zongwei Zhou; Vatsal Sodha; Md Mahfuzur Rahman Siddiquee; Ruibin Feng; Nima Tajbakhsh; Michael B. Gotway; Jianming Liang (MICCAI (4), 2019)

Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation. - Zongwei Zhou; Jae Y. Shin; Ruibin Feng; R. Todd Hurst; Christopher B. Kendall; Jianming Liang (J. Digit. Imaging, 2019)

Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation. - Nima Tajbakhsh; Jae Y. Shin; Michael B. Gotway; Jianming Liang (Medical Image Anal., 2019)

Parts2Whole: Self-supervised Contrastive Learning via Reconstruction. - Ruibin Feng; Zongwei Zhou; Michael B. Gotway; Jianming Liang (DART/DCL@MICCAI, 2020)

Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration. - Fatemeh Haghighi; Mohammad Reza Hosseinzadeh Taher; Zongwei Zhou; Michael B. Gotway; Jianming Liang (MICCAI (1), 2020)

Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE). - 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; et al. (CoRR, 2020)

Solar3D: An Open-Source Tool for Estimating Solar Radiation in Urban Environments. - Jianming Liang; Jianhua Gong; Xiuping Xie; Jun Sun 021 (ISPRS Int. J. Geo Inf., 2020)

Analyzing the Influence of Urban Street Greening and Street Buildings on Summertime Air Pollution Based on Street View Image Data. - Dong Wu; Jianhua Gong; Jianming Liang; Jin Sun; Guoyong Zhang (ISPRS Int. J. Geo Inf., 2020)

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation. - Zongwei Zhou; Md Mahfuzur Rahman Siddiquee; Nima Tajbakhsh; Jianming Liang (IEEE Trans. Medical Imaging, 2020)

Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. - Nahid Ul Islam; Shiv Gehlot; Zongwei Zhou; Michael B. Gotway; Jianming Liang (MLMI@MICCAI, 2021)

A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis. - Mohammad Reza Hosseinzadeh Taher; Fatemeh Haghighi; Ruibin Feng; Michael B. Gotway; Jianming Liang (DART/FAIR@MICCAI, 2021)

Efficient Weakly-Supervised Object Detection With Pseudo Annotations. - Qingsheng Yuan; Gang Sun; Jianming Liang; Biao Leng (IEEE Access, 2021)

Active, continual fine tuning of convolutional neural networks for reducing annotation efforts. - Zongwei Zhou; Jae Y. Shin; Suryakanth R. Gurudu; Michael B. Gotway; Jianming Liang (Medical Image Anal., 2021)

Models Genesis. - Zongwei Zhou; Vatsal Sodha; Jiaxuan Pang; Michael B. Gotway; Jianming Liang (Medical Image Anal., 2021)

Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning. - Fatemeh Haghighi; Mohammad Reza Hosseinzadeh Taher; Zongwei Zhou; Michael B. Gotway; Jianming Liang (IEEE Trans. Medical Imaging, 2021)

Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical Imaging. - Nima Tajbakhsh; Holger Roth; Demetri Terzopoulos; Jianming Liang (IEEE Trans. Medical Imaging, 2021)

DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis. - Fatemeh Haghighi; Mohammad Reza Hosseinzadeh Taher; Michael B. Gotway; Jianming Liang (CVPR, 2022)

Unifying Visual Perception by Dispersible Points Learning. - Jianming Liang; Guanglu Song; Biao Leng; Yu Liu 015 (ECCV (9), 2022)

Discriminative, Restorative, and Adversarial Learning: Stepwise Incremental Pretraining. - Zuwei Guo; Nahid Ul Islam; Michael B. Gotway; Jianming Liang (DART@MICCAI, 2022)

Benchmarking and Boosting Transformers for Medical Image Classification. - Dongao Ma; Mohammad Reza Hosseinzadeh Taher; Jiaxuan Pang; Nahid Ul Islam; Fatemeh Haghighi; Michael B. Gotway; Jianming Liang (DART@MICCAI, 2022)

POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image Analysis. - Jiaxuan Pang; Fatemeh Haghighi; Dongao Ma; Nahid Ul Islam; Mohammad Reza Hosseinzadeh Taher; Michael B. Gotway; Jianming Liang (DART@MICCAI, 2022)

CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging. - Mohammad Reza Hosseinzadeh Taher; Fatemeh Haghighi; Michael B. Gotway; Jianming Liang (MIDL, 2022)

Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes. - Zeyue Xue; Jianming Liang; Guanglu Song; Zhuofan Zong; Liang Chen; Yu Liu 015; Ping Luo 002 (NeurIPS, 2022)

Large-batch Optimization for Dense Visual Predictions. - Zeyue Xue; Jianming Liang; Guanglu Song; Zhuofan Zong; Liang Chen; Yu Liu 015; Ping Luo 002 (CoRR, 2022)

Learning Anatomically Consistent Embedding for Chest Radiography. - Ziyu Zhou; Haozhe Luo; Jiaxuan Pang; Xiaowei Ding; Michael B. Gotway; Jianming Liang (BMVC, 2023)

TraceStream: Anomalous Service Localization based on Trace Stream Clustering with Online Feedback. - Tong Zhou; Chenxi Zhang 003; Xin Peng 001; Zhenghui Yan; Pairui Li; Jianming Liang; Haibing Zheng; Wujie Zheng; Yuetang Deng (ISSRE, 2023)

Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance. - Dongao Ma; Jiaxuan Pang; Michael B. Gotway; Jianming Liang (MICCAI (1), 2023)

Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision. - Mohammad Reza Hosseinzadeh Taher; Michael B. Gotway; Jianming Liang (DART@MICCAI, 2023)

Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision. - Mohammad Reza Hosseinzadeh Taher; Michael B. Gotway; Jianming Liang (CVPR, 2024)

ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-Grained Appearance for CT Images. - Jiaxuan Pang; Dongao Ma; Ziyu Zhou; Michael B. Gotway; Jianming Liang (MICCAI (11), 2024)

Editorial: Segmentation and classification: theories, algorithms and applications. - Xiaohao Cai; Youwei Wen; Jianming Liang (Frontiers Comput. Sci., 2024)

Stepwise incremental pretraining for integrating discriminative, restorative, and adversarial learning. - Zuwei Guo; Nahid Ul Islam; Michael B. Gotway; Jianming Liang (Medical Image Anal., 2024)

Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial? - Fatemeh Haghighi; Mohammad Reza Hosseinzadeh Taher; Michael B. Gotway; Jianming Liang (Medical Image Anal., 2024)

Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism. - Nahid Ul Islam; Zongwei Zhou; Shiv Gehlot; Michael B. Gotway; Jianming Liang (Medical Image Anal., 2024)

Learning Anatomy-Disease Entangled Representation. - Fatemeh Haghighi; Michael B. Gotway; Jianming Liang (WACV, 2025)

Foundation X: Integrating Classification, Localization, and Segmentation Through Lock-Release Pretraining Strategy for Chest X-Ray Analysis. - Nahid Ul Islam; Dongao Ma; Jiaxuan Pang; Shivasakthi Senthil Velan; Michael B. Gotway; Jianming Liang (WACV, 2025)

ACE: Anatomically Consistent Embeddings in Composition and Decomposition. - Ziyu Zhou; Haozhe Luo; Mohammad Reza Hosseinzadeh Taher; Jiaxuan Pang; Xiaowei Ding; Michael B. Gotway; Jianming Liang (WACV, 2025)

POPAR: Patch Order Prediction and Appearance Recovery for self-supervised learning in chest radiography. - Jiaxuan Pang; Dongao Ma; Ziyu Zhou; Michael B. Gotway; Jianming Liang (Medical Image Anal., 2025)

A fully open AI foundation model applied to chest radiography. - Dongao Ma; Jiaxuan Pang; Michael B. Gotway; Jianming Liang (Nat., 2025)