mlsanityData to 14 Oct 2026

Cascaded V-Net using ROI masks for brain tumor segmentation

arXiv 1812.11588 ↗First posted 30 Dec 2018cs.CV cs.AI cs.CYcited by 26

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Abstract (arXiv)

In this work we approach the brain tumor segmentation problem with a cascade of two CNNs inspired in the V-Net architecture citeVNet, reformulating residual connections and making use of ROI masks to constrain the networks to train only on relevant voxels. This architecture allows dense training on problems with highly skewed class distributions, such as brain tumor segmentation, by focusing training only on the vecinity of the tumor area. We report results on BraTS2017 Training and Validation sets.

Key facts. Cited by 26 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Dec 2018.

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Citing papers per year: 2021: 7; 2022: 9; 2023: 9; 2024: 1.

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  1. 2022The Eyecandies Dataset for Unsupervised Multimodal Anomaly Detection and Localizationcited by 57
  2. 2021ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalitiescited by 43
  3. 2021Optimized U-Net for Brain Tumor Segmentationcited by 40
  4. 2022One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputationcited by 40
  5. 2022FedMed-GAN: Federated Domain Translation on Unsupervised Cross-Modality Brain Image Synthesiscited by 21
  6. 2023Masked Diffusion as Self-supervised Representation Learnercited by 11
  7. 2023Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Datacited by 9
  8. 2021Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCTcited by 8
  9. 2022High-Resolution Swin Transformer for Automatic Medical Image Segmentationcited by 8
  10. 2021DeepStroke: An Efficient Stroke Screening Framework for Emergency Rooms with Multimodal Adversarial Deep Learningcited by 7
  11. 2022Large-Kernel Attention for 3D Medical Image Segmentationcited by 7
  12. 2021Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translationcited by 4
14 more
  1. 2023A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentationcited by 4
  2. 2023Cross-dimensional transfer learning in medical image segmentation with deep learningcited by 4
  3. 2022Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patientscited by 3
  4. 2023Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networkscited by 3
  5. 2021Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learningcited by 2
  6. 2022FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Losscited by 2
  7. 2022Identification of Rare Cortical Folding Patterns using Unsupervised Deep Learningcited by 2
  8. 2023Improving Segmentation and Detection of Lesions in CT Scans Using Intensity Distribution Supervisioncited by 2
  9. 2021A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Predictioncited by 1
  10. 2024Towards Population Scale Testis Volume Segmentation in DIXON MRIcited by 1
  11. 2022Brain MRI study for glioma segmentation using convolutional neural networks and original post-processing techniques with low computational demandcited by 0
  12. 2023Localise to segment: crop to improve organ at risk segmentation accuracycited by 0
  13. 2023K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessmentcited by 0
  14. 2023A Novel SLCA-UNet Architecture for Automatic MRI Brain Tumor Segmentationcited by 0