Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis by Xu, Jun, Xiang, Lei, Wang, Guanhao, Ganesan, Shridar, Feldman, Michael, Shih, Natalie NC, Gilmore, Hannah, Madabhushi, Anant

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Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent by Cruz-Roa, Angel, Gilmore, Hannah, Basavanhally, Ajay, Feldman, Michael, Ganesan, Shridar, Shih, Natalie N.C., Tomaszewski, John, González, Fabio A., Madabhushi, Anant

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Genomic landscape of metastatic breast cancer identifies preferentially dysregulated pathways and targets by Paul, Matt R, Pan, Tien-Chi, Pant, Dhruv K, Shih, Natalie Nc, Chen, Yan, Harvey, Kyra L, Solomon, Aaron, Lieberman, David, Morrissette, Jennifer Jd, Soucier-Ernst, Danielle, Goodman, Noah G, Stavropoulos, S William, Maxwell, Kara N, Clark, Candace, Belka, George K, Feldman, Michael, DeMichele, Angela, Chodosh, Lewis A

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Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer by Lee, George, Singanamalli, Asha, Haibo Wang, Feldman, Michael D., Master, Stephen R., Shih, Natalie N. C., Spangler, Elaine, Rebbeck, Timothy, Tomaszewski, John E., Madabhushi, Anant

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Identifying in vivo DCE MRI markers associated with microvessel architecture and gleason grades of prostate cancer by Singanamalli, Asha, Rusu, Mirabela, Sparks, Rachel E., Shih, Natalie N.C., Ziober, Amy, Wang, Li-Ping, Tomaszewski, John, Rosen, Mark, Feldman, Michael, Madabhushi, Anant

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Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study by Leo, Patrick, Janowczyk, Andrew, Elliott, Robin, Janaki, Nafiseh, Bera, Kaustav, Shiradkar, Rakesh, Farré, Xavier, Fu, Pingfu, El-Fahmawi, Ayah, Shahait, Mohammed, Kim, Jessica, Lee, David, Yamoah, Kosj, Rebbeck, Timothy R., Khani, Francesca, Robinson, Brian D., Eklund, Lauri, Jambor, Ivan, Merisaari, Harri, Ettala, Otto, Taimen, Pekka, Aronen, Hannu J., Boström, Peter J., Tewari, Ashutosh, Magi-Galluzzi, Cristina, Klein, Eric, Purysko, Andrei, NC Shih, Natalie, Feldman, Michael, Gupta, Sanjay, Lal, Priti, Madabhushi, Anant

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Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy by Litjens, Geert J. S, Huisman, Henkjan J, Elliott, Robin M, Shih, Natalie Nc, Feldman, Michael D, Viswanath, Satish, Fütterer, Jurgen J, Bomers, Joyce G. R, Madabhushi, Anant

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Computer extracted gland features from H E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study by Patrick Leo, Andrew Janowczyk, Robin Elliott, Nafiseh Janaki, Kaustav Bera, Rakesh Shiradkar, Xavier Farré, Pingfu Fu, Ayah El-Fahmawi, Mohammed Shahait, Jessica Kim, David Lee, Kosj Yamoah, Timothy R. Rebbeck, Francesca Khani, Brian D. Robinson, Lauri Eklund, Ivan Jambor, Harri Merisaari, Otto Ettala, Pekka Taimen, Hannu J. Aronen, Peter J. Boström, Ashutosh Tewari, Cristina Magi-Galluzzi, Eric Klein, Andrei Purysko, Natalie NC Shih, Michael Feldman, Sanjay Gupta, Priti Lal, Anant Madabhushi

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Image microarrays (IMA): Digital pathology’s missing tool by Hipp, Jason, Cheng, Jerome, Pantanowitz, Liron, Hewitt, Stephen, Yagi, Yukako, Monaco, James, Madabhushi, Anant, Rodriguez-canales, Jaime, Hanson, Jeffrey, Roy-Chowdhuri, Sinchita, Filie, Armando C., Feldman, Michael D., Tomaszewski, John E., Shih, Natalie NC, Brodsky, Victor, Giaccone, Giuseppe, Emmert-Buck, Michael R., Balis, Ulysses J.

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Image microarrays (IMA): Digital pathology′s missing tool by Jason Hipp, Jerome Cheng, Liron Pantanowitz, Stephen Hewitt, Yukako Yagi, James Monaco, Anant Madabhushi, Jaime Rodriguez-canales, Jeffrey Hanson, Sinchita Roy-Chowdhuri, Armando C Filie, Michael D Feldman, John E Tomaszewski, Natalie NC Shih, Victor Brodsky, Giuseppe Giaccone, Michael R Emmert-Buck, Ulysses J Balis

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