Fahimeh Fooladgar

According to our database1, Fahimeh Fooladgar authored at least 19 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Toward confident prostate cancer detection using ultrasound: a multi-center study.
Int. J. Comput. Assist. Radiol. Surg., May, 2024

Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data.
CoRR, 2024

2023
Semi-supervised learning from coarse histopathology labels.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

TRUSformer: improving prostate cancer detection from micro-ultrasound using attention and self-supervision.
Int. J. Comput. Assist. Radiol. Surg., July, 2023

CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification.
CoRR, 2023

Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise.
CoRR, 2023

Self-supervised learning and uncertainty estimation for surgical margin detection.
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.
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.
CoRR, 2022

Coarse label refinement for improving prostate cancer detection in ultrasound imaging.
Int. J. Comput. Assist. Radiol. Surg., 2022

Uncertainty estimation for margin detection in cancer surgery using mass spectrometry.
Int. J. Comput. Assist. Radiol. Surg., 2022

Towards Confident Detection of Prostate Cancer Using High Resolution Micro-ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Uncertainty-Aware Deep Ensemble Model For Targeted Ultrasound-Guided Prostate Biopsy.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2020
Lightweight residual densely connected convolutional neural network.
Multim. Tools Appl., 2020

A survey on indoor RGB-D semantic segmentation: from hand-crafted features to deep convolutional neural networks.
Multim. Tools Appl., 2020

Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer.
CoRR, 2020

2019
Pointwise Attention-Based Atrous Convolutional Neural Networks.
CoRR, 2019

Multi-Modal Attention-based Fusion Model for Semantic Segmentation of RGB-Depth Images.
CoRR, 2019

2015
Semantic Segmentation of RGB-D Images Using 3D and Local Neighbouring Features.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015


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