John Tomaszewski
Affiliations:- University at Buffalo, Department of Pathology and Anatomical Sciences, NY, USA
- University of Pennsylvania, School of Medicine, Philadelphia, PA, USA (MD 1977)
According to our database1,
John Tomaszewski
authored at least 67 papers
between 2003 and 2022.
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Bibliography
2022
Computational integration of renal histology and urinary proteomics using neural networks.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022
Integrating image analysis with single cell RNA-seq data to study podocyte-specific changes in diabetic kidney disease.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022
HistoLens: a generalizable tool for increasing accessibility and interpretability of quantitative analyses in digital pathology.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022
2021
A distributed system improves inter-observer and AI concordance in annotating interstitial fibrosis and tubular atrophy.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Clot organization on histology is associated with radiomics features that predict treatment outcomes from mechanical thrombectomy.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
2020
Neutrophil Extracellular Traps (NETs): an unexplored territory in renal pathobiology, a pilot computational study.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
The presence and location of podocytes in glomeruli as affected by diabetes mellitus.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
2019
An integrated iterative annotation technique for easing neural network training in medical image analysis.
Nat. Mach. Intell., 2019
Examining structural patterns and causality in diabetic nephropathy using inter-glomerular distance and Bayesian graphical models.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
2018
Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis.
CoRR, 2018
Examining structural changes in diabetic nephropathy using inter-nuclear distances in glomeruli: a comparison of variously automated methods.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Glomerular detection and segmentation from multimodal microscopy images using a Butterworth band-pass filter.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Computational analysis of the structural progression of human glomeruli in diabetic nephropathy.
Proceedings of the Medical Imaging 2018: Digital Pathology, 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
Leveraging unsupervised training sets for multi-scale compartmentalization in renal pathology.
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017
2016
Automated renal histopathology: digital extraction and quantification of renal pathology.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 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
2015
Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer.
IEEE Trans. Medical Imaging, 2015
2014
Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
2013
Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides.
IEEE Trans. Biomed. Eng., 2013
Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013
Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
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
Incorporating the whole-mount prostate histology reconstruction program Histostitcher into the extensible imaging platform (XIP) framework.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012
2011
Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer.
Comput. Medical Imaging Graph., 2011
HistoStitcher<sup>©</sup>: An interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments.
Comput. Medical Imaging Graph., 2011
Supervised Regularized Canonical Correlation Analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery.
BMC Bioinform., 2011
An Active Learning Based Classification Strategy for the Minority Class Problem: Application to Histopathology Annotation.
BMC Bioinform., 2011
Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 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
A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology.
IEEE Trans. Biomed. Eng., 2010
Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology.
IEEE Trans. Biomed. Eng., 2010
High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models.
Medical Image Anal., 2010
Computer-assisted targeted therapy (CATT) for prostate radiotherapy planning by fusion of CT and MRI.
Proceedings of the Medical Imaging 2010: Visualization, 2010
High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies.
Proceedings of the Prostate Cancer Imaging. Computer-Aided Diagnosis, 2010
HistoCAD: Machine Facilitated Quantitative Histoimaging with Computer Assisted Diagnosis.
Proceedings of the Prostate Cancer Imaging. Computer-Aided Diagnosis, 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
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
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009
2008
Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 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
Multimodal image registration of ex vivo 4 Tesla MRI with whole mount histology for prostate cancer detection.
Proceedings of the Medical Imaging 2007: Image Processing, 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
A Combined Feature Ensemble Based Mutual Information Scheme for Robust Inter-Modal, Inter-Protocol Image Registration.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 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
Proceedings of the Computer Vision Approaches to Medical Image Analysis, 2006
2005
IEEE Trans. Medical Imaging, 2005
Graph Embedding to Improve Supervised Classification and Novel Class Detection: Application to Prostate Cancer.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
2003
A Novel Stochastic Combination of 3D Texture Features for Automated Segmentation of Prostatic Adenocarcinoma from High Resolution MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003