Scott Doyle
According to our database1,
Scott Doyle
authored at least 37 papers
between 2006 and 2023.
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Bibliography
2023
Attention-guided single-voxel attacks for 3-dimensional neural networks: experiments with post-mortem CT segmentation.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
2022
Generating statistical shape models of osteological structure from cadaveric CT data.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
2021
Conditional generative adversarial networks for H&E to IF domain transfer: experiments with breast and prostate cancer.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Whole slide semantic segmentation: large scale active learning for digital pathology.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Comparing architectural features between heuristically human-annotated and Artificial Intelligence (AI) generated tumor and satellite labels in early-stage oral cavity cancer.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
2020
Realistic cross-domain microscopy via conditional generative adversarial networks: converting immunofluorescence to hematoxylin and eosin.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
2019
Two-tier classifier for identifying small objects in histological tissue classification: experiments with colon cancer tissue mapping.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
Automated multi-class ground-truth labeling of H&E images for deep learning using multiplexed fluorescence microscopy.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
Fragile neural networks: the importance of image standardization for deep learning in digital pathology.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
Proceedings of the AMIA 2019, 2019
2018
A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Active deep learning: Improved training efficiency of convolutional neural networks for tissue classification in oral cavity cancer.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
The Implementation of the Precision Oncology Data Repository in the Veterans Affairs Healthcare System.
Proceedings of the AMIA 2018, 2018
2017
Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem.
J. Biomed. Informatics, 2017
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017
2016
Quantification of tumor morphology via 3D histology: application to oral cavity cancers.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016
Mentor's brain functional connectivity network during robotic assisted surgery mentorship.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2012
A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies.
IEEE Trans. Biomed. Eng., 2012
Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer.
BMC Bioinform., 2012
2011
Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data.
Comput. Medical Imaging Graph., 2011
An Active Learning Based Classification Strategy for the Minority Class Problem: Application to Histopathology Annotation.
BMC Bioinform., 2011
Boosted Spectral Embedding (BoSE): Applications to content-based image retrieval of histopathology.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Cascaded multi-class pairwise classifier (CascaMPa) for normal, cancerous, and cancer confounder classes in prostate histology.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis.
Proceedings of the Pattern Recognition in Bioinformatics, 2010
Computer-aided prognosis: predicting patient and disease outcome via multi-modal image analysis.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Evaluation of effects of jpeg2000 compression on a computer-aided detection system for prostate cancer on digitized histopathology.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Predicting classifier performance with a small training set: applications to computer-aided diagnosis and prognosis.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
A boosted distance metric: application to content based image retrieval and classification of digitized histopathology.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
A Knowledge Representation Framework for Integration, Classification of Multi-Scale Imaging and Non-Imaging Data: Preliminary Results in Predicting Prostate Cancer Recurrence by Fusing Mass Spectrometry and Histology.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Automated grading of breast cancer histopathology using spectral clusteringwith textural and architectural image features.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2007
Automated Grading of Prostate Cancer Using Architectural and Textural Image Features.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
2006
A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Detecting Prostatic Adenocarcinoma From Digitized Histology Using a Multi-Scale Hierarchical Classification Approach.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006