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3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation.

, , , , , , , , and . DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 222-230. Springer, (2017)

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Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications., , , , , and . CoRR, (2014)Active appearance model and deep learning for more accurate prostate segmentation on MRI., , , , , , , , , and 1 other author(s). Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97842I. SPIE, (2016)Lung segmentation based on a deep learning approach for dynamic chest radiography., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109503M. SPIE, (2019)Colon Shape Estimation Method for Colonoscope Tracking using Recurrent Neural Networks., , , , , , , , and . CoRR, (2020)Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models., , , , , , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 240-248. Springer, (2019)The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation., , , , , , and . MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 456-465. Springer, (2021)Warm Start Active Learning with Proxy Labels and Selection via Semi-supervised Fine-Tuning., , , and . MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 297-308. Springer, (2022)From adult to pediatric: deep learning-based automatic segmentation of rare pediatric brain tumors., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Anatomy-specific classification of medical images using deep convolutional nets., , , , , , , and . ISBI, page 101-104. IEEE, (2015)Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging., , , , , , , , and . EMBC, page 1-5. IEEE, (2023)