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Automatic Detection and Segmentation of Crohn's Disease Tissues From Abdominal MRI.

, , , , , , , and . IEEE Trans. Med. Imaging, 32 (12): 2332-2347 (2013)

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Automated Analysis of Tissue Micro-Array Images on the Example of Renal Cell Carcinoma., , , , and . Similarity-Based Pattern Analysis and Recognition, Springer, (2013)Crohn's disease tissue segmentation from abdominal MRI using semantic information and graph cuts., , , , and . ISBI, page 358-361. (2013)Multi-Organ Cancer Classification and Survival Analysis., , , , , and . CoRR, (2016)Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell Carcinoma., , , , and . SIMBAD, volume 7005 of Lecture Notes in Computer Science, page 250-260. Springer, (2011)Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn's Disease Segmentation., , , , , , , , , and 1 other author(s). ABDI@MICCAI, volume 8676 of Lecture Notes in Computer Science, page 139-147. Springer, (2014)Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI., , , , , and . ISBI, page 844-847. (2013)Localizing and segmenting Crohn's disease affected regions in abdominal MRI using novel context features., , , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 86693K. SPIE, (2013)Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology., , , , , and . Comp. Med. Imag. and Graph., (2018)A Multiple Kernel Learning Algorithm for Cell Nucleus Classification of Renal Cell Carcinoma., , , and . ICIAP (1), volume 6978 of Lecture Notes in Computer Science, page 413-422. Springer, (2011)A Model Development Pipeline for Crohn's Disease Severity Assessment from Magnetic Resonance Images., , , , , , , , , and . Abdominal Imaging, volume 8198 of Lecture Notes in Computer Science, page 1-10. Springer, (2013)