Jianming Liang
Orcid: 0000-0001-5486-1613
According to our database1,
Jianming Liang
authored at least 81 papers
between 1994 and 2024.
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Bibliography
2024
Medical Image Anal., January, 2024
2023
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision.
Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
TraceStream: Anomalous Service Localization based on Trace Stream Clustering with Online Feedback.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image Analysis.
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022
Discriminative, Restorative, and Adversarial Learning: Stepwise Incremental Pretraining.
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical Imaging.
IEEE Trans. Medical Imaging, 2021
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning.
IEEE Trans. Medical Imaging, 2021
Active, continual fine tuning of convolutional neural networks for reducing annotation efforts.
Medical Image Anal., 2021
IEEE Access, 2021
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
2020
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation.
IEEE Trans. Medical Imaging, 2020
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., 2020
ISPRS Int. J. Geo Inf., 2020
Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020
2019
Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation.
Medical Image Anal., 2019
Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation.
J. Digit. Imaging, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
iFeedback: Exploiting User Feedback for Real-Time Issue Detection in Large-Scale Online Service Systems.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
Social Force Model-Based Group Behavior Simulation in Virtual Geographic Environments.
ISPRS Int. J. Geo Inf., 2018
A Heterogeneous Distributed Virtual Geographic Environment - Potential Application in Spatiotemporal Behavior Experiments.
ISPRS Int. J. Geo Inf., 2018
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., 2018
Winter wheat mapping using a random forest classifier combined with multi-temporal and multi-sensor data.
Int. J. Digit. Earth, 2018
AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts.
CoRR, 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
2017
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge.
IEEE Trans. Medical Imaging, 2017
Automatic Sky View Factor Estimation from Street View Photographs - A Big Data Approach.
Remote. Sens., 2017
A Sparse Voxel Octree-Based Framework for Computing Solar Radiation Using 3D City Models.
ISPRS Int. J. Geo Inf., 2017
Embedding user-generated content into oblique airborne photogrammetry-based 3D city model.
Int. J. Geogr. Inf. Sci., 2017
A quantitative method for storm surge vulnerability assessment - a case study of Weihai city.
Int. J. Digit. Earth, 2017
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Automatic Interpretation of Carotid Intima-Media Thickness Videos Using Convolutional Neural Networks.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017
2016
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
IEEE Trans. Medical Imaging, 2016
IEEE Trans. Medical Imaging, 2016
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., 2016
Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Int. J. Geogr. Inf. Sci., 2015
An open-source 3D solar radiation model integrated with a 3D Geographic Information System.
Environ. Model. Softw., 2015
Realistic rendering for physically based shallow water simulation in Virtual Geographic Environments (VGEs).
Ann. GIS, 2015
Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
2014
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study.
Medical Image Anal., 2014
A visualization-oriented 3D method for efficient computation of urban solar radiation based on 3D-2D surface mapping.
Int. J. Geogr. Inf. Sci., 2014
Comput. Geosci., 2014
Automatic Polyp Detection Using Global Geometric Constraints and Local Intensity Variation Patterns.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Mach. Vis. Appl., 2013
Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013
2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
2011
Automated Detection of Major Thoracic Structures with a Novel Online Learning Method.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
2009
A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2008
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography.
Proceedings of the Computer Vision, 2008
Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
2007
Computer Aided Detection of Pulmonary Embolism with Tobogganing and Mutiple Instance Classification in CT Pulmonary Angiography.
Proceedings of the Information Processing in Medical Imaging, 2007
Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
2006
SIGKDD Explor., 2006
2004
CAD for polyp detection: an invaluable tool to meet the increasing need for colon-cancer screening.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
2003
Dynamic Chest Image Analysis: Model-Based Perfusion Analysis in Dynamic Pulmonary Imaging.
EURASIP J. Adv. Signal Process., 2003
1999
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999
1994
Proceedings of the Advances in Intelligent Computing, 1994