M. M. Farhangi

发表

4D lung tumor segmentation via shape prior and motion cues

A. Amini, N. Dunlap, J. Cha, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Deciphering deep ensembles for lung nodule analysis

Ravi K. Samala, Kenny H. Cha, N. Petrick, 2022, Medical Imaging.

Segmentation and classification of lung nodules from Thoracic CT scans : methods based on dictionary learning and deep convolutional neural networks.

Mohammad Mehdi Farhangi, M. M. Farhangi, 2019 .

3-D Active Contour Segmentation Based on Sparse Linear Combination of Training Shapes (SCoTS)

Hichem Frigui, Amir A. Amini, Albert Seow, 2017, IEEE Transactions on Medical Imaging.

Finding and tracking local communities by approximating derivatives in networks

M. Mehdi Farhangi, Irene Moser, M. Amin Rigi, 2019, World Wide Web.

Informative visual words construction to improve bag of words image representation

Mahmood Fathy, Mohsen Soryani, Mohammad Mehdi Farhangi, 2014, IET Image Process..

Derivatives in Graph Space with Applications for Finding and Tracking Local Communities

Irene Moser, M. Amin Rigi, M. Mehdi Farhangi, 2017, Lecture Notes in Social Networks.

Automatic Lung Nodule Detection in Thoracic CT Scans Using Dilated Slice-Wise Convolutions.

N. Petrick, B. Sahiner, M. M. Farhangi, 2021, Medical Physics (Lancaster).

Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models

N. Petrick, M. Unberath, Nathan G. Drenkow, 2023, arXiv.org.

Improvement the Bag of Words Image Representation Using Spatial Information

Mahmood Fathy, Mohsen Soryani, Mohammad Mehdi Farhangi, 2012, ACITY.

Volumetric analysis of respiratory gated whole lung and liver CT data with motion-constrained graph cuts segmentation

Amir A. Amini, Neal Dunlap, Jung won Cha, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Finding and tracking local communities by approximating derivatives in networks

I. Moser, M. M. Farhangi, M. A. Rigi, 2019, World Wide Web.

Incorporating shape prior into active contours with a sparse linear combination of training shapes: Application to corpus callosum segmentation

Hichem Frigui, Amir A. Amini, Mohammad Mehdi Farhangi, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Recurrent Attention Network for False Positive Reduction in the Detection of Pulmonary Nodules in Thoracic CT Scans.

Berkman Sahiner, Hichem Frigui, Nicholas Petrick, 2020, Medical physics.

Multiple Instance Learning for Malignant vs. Benign Classification of Lung Nodules in Thoracic Screening Ct Data

Hichem Frigui, Benjamin Veasey, Amir Amini, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Semi-supervised training using cooperative labeling of weakly annotated data for nodule detection in chest CT.

Y. Aloimonos, C. Fermüller, N. Petrick, 2023, Medical Physics (Lancaster).

DICaugment: A Python Package for 3D Medical Imaging Augmentation

N. Petrick, B. Sahiner, M. M. Farhangi, 2024, Journal of Open Source Software.

Lung Nodule Malignancy Classification Based ON NLSTx Data

Hichem Frigui, Amir A. Amini, Aria Pezeshk, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).