Paul Spellman

Professor

  • 64720 Citations
  • 58 h-Index
1992 …2021
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Research Output 1998 2019

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Conference contribution
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
57 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
22 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
10 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. 410-413 4 p. 6556499

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

Glioblastoma
Tumors
Histology
Learning
Carcinoma
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
2011
21 Citations (Scopus)

Comparison of sparse coding and kernel methods for histopathological classification of gliobastoma multiforme

Han, J., Chang, H., Loss, L., Zhang, K., Baehner, F. L., Gray, J., Spellman, P. & Parvin, B., 2011, Proceedings - International Symposium on Biomedical Imaging. p. 711-714 4 p. 5872505

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

Histology
Discriminant analysis
Glossaries
Restoration
Support vector machines
2007

Spectral decomposition of signaling networks

Parvin, B., Ghosh, N., Heiser, L., Knapp, M., Talcott, C., Laderoute, K., Gray, J. & Spellman, P., 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology, CIBCB 2007. p. 76-81 6 p. 4221207

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

Decomposition
Proteins
Petri nets
Directed graphs
Cells