Mohammadhadi Bagheri
According to our database1,
Mohammadhadi Bagheri
authored at least 22 papers
between 2017 and 2020.
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Bibliography
2020
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data.
IEEE Trans. Medical Imaging, 2020
Automated abnormality classification of chest radiographs using deep convolutional neural networks.
npj Digit. Medicine, 2020
2019
Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data.
CoRR, 2019
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A semi-supervised CNN learning method with pseudo-class labels for vascular calcification detection on low dose CT scans.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
A Semi-Supervised CNN Learning Method with Pseudo-class Labels for Atherosclerotic Vascular Calcification Detection.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans.
CoRR, 2018
3D Context Enhanced Region-Based Convolutional Neural Network for End-to-End Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Semi-automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports.
CoRR, 2017
Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017
Pelvic artery calcification detection on CT scans using convolutional neural networks.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the AMIA 2017, 2017