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07/31/2023
Framing image registration as a landmark detection problem for better representation of clinical relevance
Nowadays, registration methods are typically evaluated based on sub-reso...
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06/05/2023
Evaluation of software impact designed for biomedical research: Are we measuring what's meaningful?
Software is vital for the advancement of biology and medicine. Analysis ...
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05/30/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)
Gliomas are the most common type of primary brain tumors. Although gliom...
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05/26/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
Pediatric tumors of the central nervous system are the most common cause...
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05/15/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
Automated brain tumor segmentation methods are well established, reachin...
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05/15/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting
A myriad of algorithms for the automatic analysis of brain MR images is ...
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05/12/2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma
Meningiomas are the most common primary intracranial tumor in adults and...
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02/01/2023
Detecting Histologic Glioblastoma Regions of Prognostic Relevance
Glioblastoma is the most common and aggressive malignant adult tumor of ...
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08/29/2022
Artificial intelligence-based locoregional markers of brain peritumoral microenvironment
In malignant primary brain tumors, cancer cells infiltrate into the peri...
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06/11/2022
MammoDL: Mammographic Breast Density Estimation using Federated Learning
Assessing breast cancer risk from imaging remains a subjective process, ...
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01/08/2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation
Domain Adaptation (DA) has recently raised strong interests in the medic...
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12/13/2021
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients
Registration of longitudinal brain Magnetic Resonance Imaging (MRI) scan...
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08/30/2021
The University of California San Francisco Preoperative Diffuse Glioma (UCSF-PDGM) MRI Dataset
Here we present the University of California San Francisco Preoperative ...
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07/05/2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
The BraTS 2021 challenge celebrates its 10th anniversary and is jointly ...
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05/13/2021
OpenFL: An open-source framework for Federated Learning
Federated learning (FL) is a computational paradigm that enables organiz...
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05/12/2021
The Federated Tumor Segmentation (FeTS) Challenge
This manuscript describes the first challenge on Federated Learning, nam...
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04/12/2021
Common Limitations of Image Processing Metrics: A Picture Story
While the importance of automatic image analysis is increasing at an eno...
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03/10/2021
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient
In this study, we explore quantitative correlates of qualitative human e...
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08/17/2020
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies
Registration of images with pathologies is challenging due to tissue app...
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11/26/2019
ModelHub.AI: Dissemination Platform for Deep Learning Models
Recent advances in artificial intelligence research have led to a profus...
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04/26/2019
Accurate and Robust Alignment of Variable-stained Histologic Images Using a General-purpose Greedy Diffeomorphic Registration Tool
Variously stained histology slices are routinely used by pathologists to...
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02/25/2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Semantic segmentation of medical images aims to associate a pixel with a...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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10/10/2018