Research Output 1981 2019

Filter
Conference contribution
2019
1 Citation (Scopus)

On the Analysis of Cyclic Drug Schedules for Cancer Treatment using Switched Dynamical Systems

Chapman, M. P., Mazumdar, E. V., Langer, E., Sears, R. & Tomlin, C. J., Jan 18 2019, 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., p. 3503-3509 7 p. 8619490. (Proceedings of the IEEE Conference on Decision and Control; vol. 2018-December).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Oncology
Cancer
Drugs
Dynamical systems
Schedule
2017
4 Citations (Scopus)

Deep learning based Nucleus Classification in pancreas histological images

Chang, Y. H., Thibault, G., Madin, O., Azimi, V., Meyers, C., Johnson, B., Link, J., Margolin, A. & Gray, J., Sep 13 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 672-675 4 p. 8036914

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pancreas
Learning
Tumors
Neoplasms
Explosions
2016
3 Citations (Scopus)

A model of phenotypic state dynamics initiates a promising approach to control heterogeneous malignant cell populations

Chapman, M. P., Risom, T. T., Aswani, A., Dobbe, R., Sears, R. & Tomlin, C. J., Dec 27 2016, 2016 IEEE 55th Conference on Decision and Control, CDC 2016. Institute of Electrical and Electronics Engineers Inc., p. 2481-2487 7 p. 7798634

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cell Population
Cells
Therapy
Drugs
Drug Resistance
5 Citations (Scopus)

Quantitative analysis of histological tissue image based on cytological profiles and spatial statistics

Chang, Y. H., Thibault, G., Azimi, V., Johnson, B., Jorgens, D., Link, J., Margolin, A. & Gray, J., Oct 13 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc., Vol. 2016-October. p. 1175-1178 4 p. 7590914

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Statistics
Tissue
Chemical analysis
Spatial Analysis
Hematoxylin
2015

Predictive sparse morphometric context for classification of histology sections

Chang, H., Spellman, P. & Parvin, B., Jul 21 2015, Proceedings - International Symposium on Biomedical Imaging. IEEE Computer Society, Vol. 2015-July. p. 1004-1007 4 p. 7164040

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Histology
Tumors
Glossaries
Scalability
Neoplasms
2014
58 Citations (Scopus)

Classification of histology sections via multispectral convolutional sparse coding

Zhou, Y., Chang, H., Barner, K., Spellman, P. & Parvin, B., Sep 24 2014, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, p. 3081-3088 8 p. 6909790

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Histology
Filter banks
Convolution
Tumors
Microscopes
2013

Characterization of tissue histopathology via predictive sparse decomposition and spatial pyramid matching

Chang, H., Nayak, N., Spellman, P. & Parvin, B., 2013, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 8150 LNCS. p. 91-98 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8150 LNCS, no. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Histology
Pyramid
Tumors
Tumor
Tissue
24 Citations (Scopus)

Classification of tumor histology via morphometric context

Chang, H., Borowsky, A., Spellman, P. & Parvin, B., 2013, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 2203-2210 8 p. 6619130

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Histology
Tumors
Tissue
Agglomeration
Genes
22 Citations (Scopus)

Classification of tumor histopathology via sparse feature learning

Nayak, N., Chang, H., Borowsky, A., Spellman, P. & Parvin, B., 2013, Proceedings - International Symposium on Biomedical Imaging. p. 1348-1351 4 p. 6556782

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Glioblastoma
Tumors
Histology
Learning
Carcinoma
22 Citations (Scopus)

Stacked predictive sparse coding for classification of distinct regions in tumor histopathology

Chang, H., Zhou, Y., Spellman, P. & Parvin, B., 2013, Proceedings of the IEEE International Conference on Computer Vision. Institute of Electrical and Electronics Engineers Inc., p. 169-176 8 p. 6751130

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tumors
Histology
Cell culture
Spatial distribution
Classifiers
2012
8 Citations (Scopus)

Batch-invariant nuclear segmentation in whole mount histology sections

Chang, H., Loss, L. A., Spellman, P., Borowsky, A. & Parvin, B., 2012, Proceedings - International Symposium on Biomedical Imaging. p. 856-859 4 p. 6235683

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Histology
Atlases
Tumors
Neoplasms
Color
23 Citations (Scopus)

Learning invariant features of tumor signatures

Le, Q. V., Han, J., Gray, J., Spellman, P., Borowsky, A. & Parvin, B., 2012, Proceedings - International Symposium on Biomedical Imaging. p. 302-305 4 p. 6235544

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tumors
Learning
Tissue
Network layers
Neoplasms
3 Citations (Scopus)

Molecular bases of morphometric composition in Glioblastoma multiforme

Han, J., Chang, H., Fontenay, G. V., Spellman, P., Borowsky, A. & Parvin, B., 2012, Proceedings - International Symposium on Biomedical Imaging. p. 1631-1634 4 p. 6235889

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Base Composition
Glioblastoma
Genes
Histology
Chemical analysis
2008
5 Citations (Scopus)

Phase unwrapping and background correction in MRI

Lan, T., Erdogmus, D., Hayflick, S. & Szumowski, J. U., 2008, Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008. p. 239-243 5 p. 4685486

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Image segmentation
Signal processing
Image processing
Visualization
Magnetic Resonance Imaging
2007
6 Citations (Scopus)

Using XAS and SXRF to study copper in wilson disease at the molecular and tissue level

Ralle, M., Blackburn, N. & Lutsenko, S., 2007, AIP Conference Proceedings. Vol. 882. p. 328-330 3 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

synchrotrons
copper
fluorescence
x rays
liver