Mohammad H. Jafari

Orcid: 0000-0002-6380-5020

Affiliations:
  • University of British Columbia, Vancouver, BC, Canada
  • Isfahan University of Technology, Isfahan, Iran


According to our database1, Mohammad H. Jafari authored at least 29 papers between 2016 and 2023.

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

Timeline

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Bibliography

2023
Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound.
IEEE J. Biomed. Health Informatics, September, 2023

2022
U-LanD: Uncertainty-Driven Video Landmark Detection.
IEEE Trans. Medical Imaging, 2022

A light-weight deep video network: towards robust assessment of ejection fraction on mobile devices.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

An efficient deep landmark detection network for PLAX EF estimation using sparse annotations.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Multi-task deep learning for segmentation and landmark detection in obstetric sonography.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Differential Learning from Sparse and Noisy Labels for Robust Detection of Clinical Landmarks in Echo Cine Series.
Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022

2021
Imaging Biomarker Knowledge Transfer for Attention-Based Diagnosis of COVID-19 in Lung Ultrasound Videos.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021

Efficient Echocardiogram View Classification with Sampling-Free Uncertainty Estimation.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021

Echocardiogram View Conversion using Clinically Constrained Conditional GAN.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Deep Bayesian Image Segmentation For A More Robust Ejection Fraction Estimation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Reciprocal Landmark Detection and Tracking With Extremely Few Annotations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Multiple instance learning combined with label invariant synthetic data for guiding systematic prostate biopsy: a feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2020

Cardiac point-of-care to cart-based ultrasound translation using constrained CycleGAN.
Int. J. Comput. Assist. Radiol. Surg., 2020

2019
A Study into Echocardiography View Conversion.
CoRR, 2019

Dense pooling layers in fully convolutional network for skin lesion segmentation.
Comput. Medical Imaging Graph., 2019

Automatic biplane left ventricular ejection fraction estimation with mobile point-of-care ultrasound using multi-task learning and adversarial training.
Int. J. Comput. Assist. Radiol. Surg., 2019

Echocardiography View Classification Using Quality Transfer Star Generative Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Echocardiography Segmentation by Quality Translation Using Anatomically Constrained CycleGAN.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

End-To-End Vertebra Localization and Level Detection in Weakly Labelled 3D Spinal Mr using Cascaded Neural Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Semi-Supervised Learning For Cardiac Left Ventricle Segmentation Using Conditional Deep Generative Models as Prior.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Segmentation of vessels in angiograms using convolutional neural networks.
Biomed. Signal Process. Control., 2018

A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

2017
Dense Fully Convolutional Network for Skin Lesion Segmentation.
CoRR, 2017

2016
Extraction of Skin Lesions from Non-Dermoscopic Images Using Deep Learning.
CoRR, 2016

Skin lesion segmentation in clinical images using deep learning.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Set of descriptors for skin cancer diagnosis using non-dermoscopic color images.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Melanoma detection by analysis of clinical images using convolutional neural network.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Vessel extraction in X-ray angiograms using deep learning.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Automatic detection of melanoma using broad extraction of features from digital images.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016


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