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20152024
most citedMetrics reloaded: Recommendations for image analysis validation

469 citations · 987 across the 21 of their papers we have counts for

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7 papers · 1 filter

eess.IV2024★ 1 cited

Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery

Karl-Philippe Beaudet, Alexandros Karargyris, Sidaty El Hadramy +4

While laparoscopic liver resection is less prone to complications and maintains patient outcomes compared to traditional open surgery, its complexity hinders widespread adoption du…

cs.CV2024

Clinnova Federated Learning Proof of Concept: Key Takeaways from a Cross-border Collaboration

Julia Alekseenko, Bram Stieltjes, Michael Bach +4

Clinnova, a collaborative initiative involving France, Germany, Switzerland, and Luxembourg, is dedicated to unlocking the power of precision medicine through data federation, stan…

cs.CV2024★ 1 cited

Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness

Idris Hamoud, Alexandros Karargyris, Aidean Sharghi +2

Semantic segmentation and activity classification are key components to creating intelligent surgical systems able to understand and assist clinical workflow. In the Operating Room…

eess.IV2024★ 14 cited

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

Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu +77

Pediatric central nervous system tumors are the leading cause of cancer-related deaths in children. The five-year survival rate for high-grade glioma in children is less than 20%.…

cs.CV2024★ 1 cited

BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions

Spyridon Bakas, Siddhesh P. Thakur, Shahriar Faghani +19

Glioblastoma is the most common primary adult brain tumor, with a grim prognosis - median survival of 12-18 months following treatment, and 4 months otherwise. Glioblastoma is wide…

cs.CV2024★ 7 cited

Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challenge

Dominic LaBella, Valeriia Abramova, Mehdi Astaraki +102

The 2024 Brain Tumor Segmentation Meningioma Radiotherapy (BraTS-MEN-RT) challenge aimed to advance automated segmentation algorithms using the largest known multi-institutional da…

eess.IV2024★ 9 cited

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge

Dominic LaBella, Ujjwal Baid, Omaditya Khanna +119

We describe the design and results from the BraTS 2023 Intracranial Meningioma Segmentation Challenge. The BraTS Meningioma Challenge differed from prior BraTS Glioma challenges in…