Anahita Fathi Kazerooni

According to our database1, Anahita Fathi Kazerooni authored at least 20 papers between 2011 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023.
CoRR, 2024

Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation.
CoRR, 2024

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI.
CoRR, 2024

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge.
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CoRR, 2024

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
CoRR, 2024

Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors.
CoRR, 2024

2023
A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network.
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR, 2023

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.
CoRR, 2023

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization.
CoRR, 2023

2022
Subtyping brain diseases from imaging data.
CoRR, 2022

Automated segmentation of pediatric brain tumors based on multi-parametric MRI and deep learning.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2020
Computational Diagnostics of GBM Tumors in the Era of Radiomics and Radiogenomics.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2014
A high throughput and efficient visualization method for diffusion tensor imaging of human brain white matter employing diffusion-map space.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2012
An efficient algorithm for registration of pre- and intra- operative brain MRI images to correct intensity inhomogeneity.
Proceedings of the 11th International Conference on Information Science, 2012

2011
Segmentation of brain tumors in MRI images using multi-scale gradient vector flow.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

An efficient point based registration of intra-operative ultrasound images with MR images for computation of brain shift; A phantom study.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011


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