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Multi-modal Brain Tumor Segmentation Using Stacked Denoising Autoencoders.

, , , and . Brainles@MICCAI, volume 9556 of Lecture Notes in Computer Science, page 181-194. Springer, (2015)

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Enhanced Image Classification With Data Augmentation Using Position Coordinates., , and . CoRR, (2018)Functional imaging in small animals using X-ray computed Tomography -study of physiologic measurement reproducibility., , , , , , and . IEEE Trans. Med. Imaging, 24 (7): 832-843 (2005)Automatic Segmentation and Overall Survival Prediction in Gliomas Using Fully Convolutional Neural Network and Texture Analysis., , and . BrainLes@MICCAI, volume 10670 of Lecture Notes in Computer Science, page 216-225. Springer, (2017)Ensemble of Fully Convolutional Neural Network for Brain Tumor Segmentation from Magnetic Resonance Images., , , , , and . BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 485-496. Springer, (2018)Understanding symptomatology of atherosclerotic plaque by image-based tissue characterization., , , , , , , and . Comput. Methods Programs Biomed., 110 (1): 66-75 (2013)A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis., , , , and . CoRR, (2020)The Liver Tumor Segmentation Benchmark (LiTS)., , , , , , , , , and 99 other author(s). Medical Image Anal., (2023)Brain Tumor Segmentation and Survival Prediction Using Automatic Hard Mining in 3D CNN Architecture., , , , , , and . BrainLes@MICCAI (2), volume 12659 of Lecture Notes in Computer Science, page 310-319. Springer, (2020)Distangling Biological Noise in Cellular Images with a focus on Explainability., and . CoRR, (2020)2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation., , , and . CoRR, (2018)