Mohammadhadi Bagheri

According to our database1, Mohammadhadi Bagheri authored at least 21 papers between 2017 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data.
IEEE Trans. Medical Imaging, 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

Text Mining Radiology Reports for Deep Learning Radiology Images.
Proceedings of the AMIA 2017, 2017


  Loading...