Scott Doyle - Citegraph

Author Info

Name	Affiliation	Papers
SCOTT DOYLE	Dept. of Biomedical Engineering, Rutgers Univ., Piscataway, NJ	23
Collaborators	Citations	PageRank
59	327	21.56
Referers	Referees	References
968	317	130

Search Limit

100968

Publications (23 rows)

Collaborators (59 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Two-tier classifier for identifying small objects in histological tissue classification - experiments with colon cancer tissue mapping.	0	0.34	2019
Automated multi-class ground-truth labeling of H&E images for deep learning using multiplexed fluorescence microscopy.	0	0.34	2019
Fragile neural networks - the importance of image standardization for deep learning in digital pathology.	0	0.34	2019
Workflow Pipeline for Medical Image Data Curation and Sharing.	0	0.34	2019
A Resolution Adaptive Deep Hierarchical (Radhical) Learning Scheme Applied To Nuclear Segmentation Of Digital Pathology Images	2	0.37	2018
Active Deep Learning: Improved Training Efficiency Of Convolutional Neural Networks For Tissue Classification In Oral Cavity Cancer	0	0.34	2018
Role of training data variability on classifier performance and generalizability.	1	0.37	2018
The Implementation of the Precision Oncology Data Repository in the Veterans Affairs Healthcare System.	0	0.34	2018
Data-driven sampling method for building 3D anatomical models from serial histology.	0	0.34	2017
Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem.	0	0.34	2017
Quantification of tumor morphology via 3D histology: application to oral cavity cancers.	0	0.34	2016
Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer	24	1.35	2012
Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data.	24	1.26	2011
Boosted Spectral Embedding (Bose): Applications To Content-Based Image Retrieval Of Histopathology	1	0.35	2011
An active learning based classification strategy for the minority class problem: application to histopathology annotation.	26	0.83	2011
Cascaded Multi-Class Pairwise Classifier (Cascampa) For Normal, Cancerous, And Cancer Confounder Classes In Prostate Histology	13	0.71	2011
Predicting classifier performance with a small training set: Applications to computer-aided diagnosis and prognosis	7	0.49	2010
Consensus of ambiguity: theory and application of active learning for biomedical image analysis	2	0.41	2010
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	14	0.93	2009
A Boosted Distance Metric: Application to Content Based Image Retrieval and Classification of Digitized Histopathology	14	0.77	2009
Automated Gland And Nuclei Segmentation For Grading Of Prostate And Breast Cancer Histopathology	86	4.32	2008
Automated Grading Of Breast Cancer Histopathology Using Spectral Clustering With Textural And Architectural Image Features	80	4.39	2008
A boosting cascade for automated detection of prostate cancer from digitized histology.	33	1.96	2006