Fahimeh Fooladgar

According to our database, Fahimeh Fooladgar authored at least 23 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LensePro: label noise-tolerant prototype-based network for improving cancer detection in prostate ultrasound with limited annotations.

Minh Nguyen Nhat To, Fahimeh Fooladgar, Paul F. R. Wilson, Mohamed Harmanani, Mahdi Gilany, Samira Sojoudi, Amoon Jamzad, Silvia D. Chang, Peter C. Black, Parvin Mousavi, Purang Abolmaesumi

Int. J. Comput. Assist. Radiol. Surg., June, 2024

ImSpect: Image-driven self-supervised learning for surgical margin evaluation with mass spectrometry.

Laura Connolly, Fahimeh Fooladgar, Amoon Jamzad, Martin Kaufmann, Ayesha Syeda, Kevin Yi Mi Ren, Purang Abolmaesumi, John F. Rudan, Doug McKay, Gabor Fichtinger, Parvin Mousavi

Int. J. Comput. Assist. Radiol. Surg., June, 2024

Toward confident prostate cancer detection using ultrasound: a multi-center study.

Paul F. R. Wilson, Mohamed Harmanani, Minh Nguyen Nhat To, Mahdi Gilany, Amoon Jamzad, Fahimeh Fooladgar, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

Int. J. Comput. Assist. Radiol. Surg., May, 2024

Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data.

Mohamed Harmanani, Paul F. R. Wilson, Fahimeh Fooladgar, Amoon Jamzad, Mahdi Gilany, Minh Nguyen Nhat To, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

CoRR, 2024

Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection.

Mahdi Gilany, Mohamed Harmanani, Paul F. R. Wilson, Minh Nguyen Nhat To, Amoon Jamzad, Fahimeh Fooladgar, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection.

Paul F. R. Wilson, Minh Nguyen Nhat To, Amoon Jamzad, Mahdi Gilany, Mohamed Harmanani, Tarek Elghareb, Fahimeh Fooladgar, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise.

Fahimeh Fooladgar, Minh Nguyen Nhat To, Parvin Mousavi, Purang Abolmaesumi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Semi-supervised learning from coarse histopathology labels.

Fahimeh Fooladgar, Minh Nguyen Nhat To, Golara Javadi, Samira Sojoudi, Walid Eshumani, Silvia D. Chang, Peter C. Black, Parvin Mousavi, Purang Abolmaesumi

Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

TRUSformer: improving prostate cancer detection from micro-ultrasound using attention and self-supervision.

Mahdi Gilany, Paul F. R. Wilson, Andrea Perera-Ortega, Amoon Jamzad, Minh Nguyen Nhat To, Fahimeh Fooladgar, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

Int. J. Comput. Assist. Radiol. Surg., July, 2023

CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification.

Bodong Zhang, Hamid Manoochehri, Man Minh Ho, Fahimeh Fooladgar, Yosep Chong, Beatrice S. Knudsen, Deepika Sirohi, Tolga Tasdizen

CoRR, 2023

Self-supervised learning and uncertainty estimation for surgical margin detection.

Ayesha Syeda, Fahimeh Fooladgar, Amoon Jamzad, Dilakshan Srikanthan, Martin Kaufmann, Kevin Yi Mi Ren, Cecil Jay Engel, Ross Walker, Shaila Merchant, Doug McKay, Sonal Varma, Gabor Fichtinger, John F. Rudan, Parvin Mousavi

Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

Bridging Ex-Vivo Training and Intra-operative Deployment for Surgical Margin Assessment with Evidential Graph Transformer.

Amoon Jamzad, Fahimeh Fooladgar, Laura Connolly, Dilakshan Srikanthan, Ayesha Syeda, Martin Kaufmann, Kevin Yi Mi Ren, Shaila Merchant, Cecil Jay Engel, Sonal Varma, Gabor Fichtinger, John F. Rudan, Parvin Mousavi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound.

Paul F. R. Wilson, Mahdi Gilany, Amoon Jamzad, Fahimeh Fooladgar, Minh Nguyen Nhat To, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

CoRR, 2022

Coarse label refinement for improving prostate cancer detection in ultrasound imaging.

Minh Nguyen Nhat To, Fahimeh Fooladgar, Golara Javadi, Sharareh Bayat, Samira Sojoudi, Antonio Hurtado, Silvia D. Chang, Peter C. Black, Parvin Mousavi, Purang Abolmaesumi

Int. J. Comput. Assist. Radiol. Surg., 2022

Uncertainty estimation for margin detection in cancer surgery using mass spectrometry.

Fahimeh Fooladgar, Amoon Jamzad, Laura Connolly, Alice M. L. Santilli, Martin Kaufmann, Kevin Yi Mi Ren, Purang Abolmaesumi, John F. Rudan, Doug McKay, Gabor Fichtinger, Parvin Mousavi

Int. J. Comput. Assist. Radiol. Surg., 2022

Towards Confident Detection of Prostate Cancer Using High Resolution Micro-ultrasound.

Mahdi Gilany, Paul F. R. Wilson, Amoon Jamzad, Fahimeh Fooladgar, Minh Nguyen Nhat To, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Uncertainty-Aware Deep Ensemble Model For Targeted Ultrasound-Guided Prostate Biopsy.

Fahimeh Fooladgar, Minh Nguyen Nhat To, Golara Javadi, Samareh Samadi, Sharareh Bayat, Samira Sojoudi, Walid Eshumani, Antonio Hurtado, Silvia D. Chang, Peter C. Black, Parvin Mousavi, Purang Abolmaesumi

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2020

Lightweight residual densely connected convolutional neural network.

Fahimeh Fooladgar, Shohreh Kasaei

Multim. Tools Appl., 2020

A survey on indoor RGB-D semantic segmentation: from hand-crafted features to deep convolutional neural networks.

Fahimeh Fooladgar, Shohreh Kasaei

Multim. Tools Appl., 2020

Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer.

Mahdi Ghorbani, Fahimeh Fooladgar, Shohreh Kasaei

CoRR, 2020

2019

Pointwise Attention-Based Atrous Convolutional Neural Networks.

Mobina Mahdavi, Fahimeh Fooladgar, Shohreh Kasaei

CoRR, 2019

Multi-Modal Attention-based Fusion Model for Semantic Segmentation of RGB-Depth Images.

Fahimeh Fooladgar, Shohreh Kasaei

CoRR, 2019

2015

Semantic Segmentation of RGB-D Images Using 3D and Local Neighbouring Features.

Fahimeh Fooladgar, Shohreh Kasaei

Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015