Peter J. Schüffler
Orcid: 0000-0002-1353-8921
According to our database1,
Peter J. Schüffler
authored at least 30 papers
between 2010 and 2023.
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Bibliography
2023
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis.
Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023
2021
Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images - The ACDC@LungHP Challenge 2019.
IEEE J. Biomed. Health Informatics, 2021
Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical center.
J. Am. Medical Informatics Assoc., 2021
2020
Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images - the ACDC@LungHP Challenge 2019.
CoRR, 2020
Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2018
Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology.
Comput. Medical Imaging Graph., 2018
2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations.
Proceedings of the 1st Machine Learning in Health Care, 2016
DeepScope: Nonintrusive Whole Slide Saliency Annotation and Prediction from Pathologists at the Microscope.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2016
2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014
Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn's Disease Segmentation.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014
Active learning based segmentation of Crohn's disease using principles of visual saliency.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Automated Analysis of Tissue Micro-Array Images on the Example of Renal Cell Carcinoma.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013
IEEE Trans. Medical Imaging, 2013
A Supervised Learning Approach for Crohn's Disease Detection Using Higher-Order Image Statistics and a Novel Shape Asymmetry Measure.
J. Digit. Imaging, 2013
Localizing and segmenting Crohn's disease affected regions in abdominal MRI using novel context features.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
A Model Development Pipeline for Crohn's Disease Severity Assessment from Magnetic Resonance Images.
Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Crohn's disease tissue segmentation from abdominal MRI using semantic information and graph cuts.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
A Supervised Learning Based Approach to Detect Crohn's Disease in Abdominal MR Volumes.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011
Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell Carcinoma.
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011
Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels.
Proceedings of the Pattern Recognition in Bioinformatics, 2011
A Multiple Kernel Learning Algorithm for Cell Nucleus Classification of Renal Cell Carcinoma.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011
2010
Proceedings of the Pattern Recognition, 2010