Predicting cancer outcomes with radiomics and artificial intelligence in radiology
Bera, Kaustav, Braman, Nathaniel, Gupta, Amit, Velcheti, Vamsidhar, Madabhushi, Anant
Published in Nature reviews. Clinical oncology (01.02.2022)
Published in Nature reviews. Clinical oncology (01.02.2022)
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Journal Article
Applications of machine learning in drug discovery and development
Vamathevan, Jessica, Clark, Dominic, Czodrowski, Paul, Dunham, Ian, Ferran, Edgardo, Lee, George, Li, Bin, Madabhushi, Anant, Shah, Parantu, Spitzer, Michaela, Zhao, Shanrong
Published in Nature reviews. Drug discovery (01.06.2019)
Published in Nature reviews. Drug discovery (01.06.2019)
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Journal Article
Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology
Bhargava, Rohit, Madabhushi, Anant
Published in Annual review of biomedical engineering (11.07.2016)
Published in Annual review of biomedical engineering (11.07.2016)
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Journal Article
Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings
Prasanna, Prateek, Patel, Jay, Partovi, Sasan, Madabhushi, Anant, Tiwari, Pallavi
Published in European radiology (01.10.2017)
Published in European radiology (01.10.2017)
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Journal Article
Radiomics and radiogenomics in lung cancer: A review for the clinician
Thawani, Rajat, McLane, Michael, Beig, Niha, Ghose, Soumya, Prasanna, Prateek, Velcheti, Vamsidhar, Madabhushi, Anant
Published in Lung cancer (Amsterdam, Netherlands) (01.01.2018)
Published in Lung cancer (Amsterdam, Netherlands) (01.01.2018)
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Journal Article
Digital imaging in pathology: whole-slide imaging and beyond
Ghaznavi, Farzad, Evans, Andrew, Madabhushi, Anant, Feldman, Michael
Published in Annual review of pathology (24.01.2013)
Published in Annual review of pathology (24.01.2013)
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Journal Article
Digital pathology and computational image analysis in nephropathology
Barisoni, Laura, Lafata, Kyle J., Hewitt, Stephen M., Madabhushi, Anant, Balis, Ulysses G. J.
Published in Nature reviews. Nephrology (01.11.2020)
Published in Nature reviews. Nephrology (01.11.2020)
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Journal Article
Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI
Braman, Nathaniel M, Etesami, Maryam, Prasanna, Prateek, Dubchuk, Christina, Gilmore, Hannah, Tiwari, Pallavi, Plecha, Donna, Madabhushi, Anant
Published in Breast cancer research : BCR (18.05.2017)
Published in Breast cancer research : BCR (18.05.2017)
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Journal Article
HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides
Janowczyk, Andrew, Zuo, Ren, Gilmore, Hannah, Feldman, Michael, Madabhushi, Anant
Published in JCO clinical cancer informatics (01.12.2019)
Published in JCO clinical cancer informatics (01.12.2019)
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Journal Article
Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent
Cruz-Roa, Angel, Gilmore, Hannah, Basavanhally, Ajay, Feldman, Michael, Ganesan, Shridar, Shih, Natalie N.C., Tomaszewski, John, González, Fabio A., Madabhushi, Anant
Published in Scientific reports (18.04.2017)
Published in Scientific reports (18.04.2017)
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Journal Article
Spatial Architecture and Arrangement of Tumor-Infiltrating Lymphocytes for Predicting Likelihood of Recurrence in Early-Stage Non-Small Cell Lung Cancer
Corredor, Germán, Wang, Xiangxue, Zhou, Yu, Lu, Cheng, Fu, Pingfu, Syrigos, Konstantinos, Rimm, David L, Yang, Michael, Romero, Eduardo, Schalper, Kurt A, Velcheti, Vamsidhar, Madabhushi, Anant
Published in Clinical cancer research (01.03.2019)
Published in Clinical cancer research (01.03.2019)
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Journal Article
Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers
Lu, Cheng, Romo-Bucheli, David, Wang, Xiangxue, Janowczyk, Andrew, Ganesan, Shridar, Gilmore, Hannah, Rimm, David, Madabhushi, Anant
Published in Laboratory investigation (01.11.2018)
Published in Laboratory investigation (01.11.2018)
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Journal Article
Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas
Beig, Niha, Khorrami, Mohammadhadi, Alilou, Mehdi, Prasanna, Prateek, Braman, Nathaniel, Orooji, Mahdi, Rakshit, Sagar, Bera, Kaustav, Rajiah, Prabhakar, Ginsberg, Jennifer, Donatelli, Christopher, Thawani, Rajat, Yang, Michael, Jacono, Frank, Tiwari, Pallavi, Velcheti, Vamsidhar, Gilkeson, Robert, Linden, Philip, Madabhushi, Anant
Published in Radiology (01.03.2019)
Published in Radiology (01.03.2019)
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Journal Article
High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection
Cruz-Roa, Angel, Gilmore, Hannah, Basavanhally, Ajay, Feldman, Michael, Ganesan, Shridar, Shih, Natalie, Tomaszewski, John, Madabhushi, Anant, González, Fabio
Published in PloS one (24.05.2018)
Published in PloS one (24.05.2018)
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Journal Article
Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: Preliminary findings
Shiradkar, Rakesh, Ghose, Soumya, Jambor, Ivan, Taimen, Pekka, Ettala, Otto, Purysko, Andrei S., Madabhushi, Anant
Published in Journal of magnetic resonance imaging (01.12.2018)
Published in Journal of magnetic resonance imaging (01.12.2018)
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Journal Article
Quality control stress test for deep learning-based diagnostic model in digital pathology
Schömig-Markiefka, Birgid, Pryalukhin, Alexey, Hulla, Wolfgang, Bychkov, Andrey, Fukuoka, Junya, Madabhushi, Anant, Achter, Viktor, Nieroda, Lech, Büttner, Reinhard, Quaas, Alexander, Tolkach, Yuri
Published in Modern pathology (01.12.2021)
Published in Modern pathology (01.12.2021)
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Journal Article