Search Results - Anant Madabhushi
Anant Madabhushi
Anant Madabhushi (born February 15, 1976) is a prominent biomedical engineer renowned for his pioneering work in developing artificial intelligence (AI) tools to enhance disease diagnosis, prognosis, and treatment planning. He holds a primary faculty appointment in the Department of Biomedical Engineering at Emory University and Georgia Institute of Technology, with secondary appointments in the Departments of Radiology and Imaging Sciences, Biomedical Informatics, and Pathology. Additionally, Dr. Madabhushi serves as the executive director of the Emory Empathetic AI for Health Institute.In 2018, Prevention magazine included Madabhushi's work on “Smart Imaging Computers” for identifying lung cancer patients who could benefit from chemotherapy on a list called “The 10 Most Incredible Medical Breakthroughs of 2018”. In 2019, Madabhushi was one of five scientists included in a Nature magazine article titled, “Offbeat approaches to cancer research”. Provided by Wikipedia
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Graphical processing unit implementation of an integrated shape-based active contour: Application to digital pathology by Sahirzeeshan Ali, Anant Madabhushi
Published 2011Call Number: Loading…Connect to this object online.
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Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases by Andrew Janowczyk, Anant Madabhushi
Published 2016Call Number: Loading…Connect to this object online.
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Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions by Andrew Janowczyk, Sharat Chandran, Anant Madabhushi
Published 2013Call Number: Loading…Connect to this object online.
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Content-based image retrieval of digitized histopathology in boosted spectrally embedded spaces by Akshay Sridhar, Scott Doyle, Anant Madabhushi
Published 2015Call Number: Loading…Connect to this object online.
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Quick Annotator: an open‐source digital pathology based rapid image annotation tool by Runtian Miao, Robert Toth, Yu Zhou, Anant Madabhushi, Andrew Janowczyk
Published 2021Call Number: Loading…Connect to this object online.
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Identifying primary tumor site of origin for liver metastases via a combination of handcrafted and deep learning features by Chuheng Chen, Cheng Lu, Vidya Viswanathan, Brandon Maveal, Bhunesh Maheshwari, Joseph Willis, Anant Madabhushi
Published 2024Call Number: Loading…Connect to this object online.
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Automated vector selection of SIVQ and parallel computing integration MATLAB TM : Innovations supporting large-scale and high-throughput image analysis studies by Jerome Cheng, Jason Hipp, James Monaco, David R Lucas, Anant Madabhushi, Ulysses J Balis
Published 2011Call Number: Loading…Connect to this object online.
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Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX by Ajay Basavanhally, Michael Feldman, Natalie Shih, Carolyn Mies, John Tomaszewski, Shridar Ganesan, Anant Madabhushi
Published 2011Call Number: Loading…Connect to this object online.
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The need for the pathology community to sponsor a whole slide imaging repository with technical guidance from the pathology informatics community by Jason D Hipp, Jeffrey Sica, Barbara McKenna, James Monaco, Anant Madabhushi, Jerome Cheng, Ulysses J Balis
Published 2011Call Number: Loading…Connect to this object online.
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Quantitative Nuclear Histomorphometry Predicts Molecular Subtype and Clinical Outcome in Medulloblastomas: Preliminary Findings by Jon Whitney, Liisa Dollinger, Benita Tamrazi, Debra Hawes, Marta Couce, Julia Marcheque, Alexander Judkins, Ashley Margol, Anant Madabhushi
Published 2022Call Number: Loading…Connect to this object online.
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Histostitcher™: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework by Robert J Toth, Natalie Shih, John E Tomaszewski, Michael D Feldman, Oliver Kutter, Daphne N Yu, John C Paulus, Ginaluca Paladini, Anant Madabhushi
Published 2014Call Number: Loading…Connect to this object online.
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12
Computer aided diagnostic tools aim to empower rather than replace pathologists: Lessons learned from computational chess by Jason Hipp, Thomas Flotte, James Monaco, Jerome Cheng, Anant Madabhushi, Yukako Yagi, Jaime Rodriguez-Canales, Michael Emmert-Buck, Michael C Dugan, Stephen Hewitt, Mehmet Toner, Ronald G Tompkins, David Lucas, John R Gilbertson, Ulysses J Balis
Published 2011Call Number: Loading…Connect to this object online.
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13
Computer-aided laser dissection: A microdissection workflow leveraging image analysis tools by Jason D Hipp, Donald J Johann, Yun Chen, Anant Madabhushi, James Monaco, Jerome Cheng, Jaime Rodriguez-Canales, Martin C Stumpe, Greg Riedlinger, Avi Z Rosenberg, Jeffrey C Hanson, Lakshmi P Kunju, Michael R Emmert-Buck, Ulysses J Balis, Michael A Tangrea
Published 2018Call Number: Loading…Connect to this object online.
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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
Published 2011Call Number: Loading…Connect to this object online.
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15
A pathologist-annotated dataset for validating artificial intelligence: A project description and pilot study by Sarah N Dudgeon, Si Wen, Matthew G Hanna, Rajarsi Gupta, Mohamed Amgad, Manasi Sheth, Hetal Marble, Richard Huang, Markus D Herrmann, Clifford H Szu, Darick Tong, Bruce Werness, Evan Szu, Denis Larsimont, Anant Madabhushi, Evangelos Hytopoulos, Weijie Chen, Rajendra Singh, Steven N Hart, Ashish Sharma, Joel Saltz, Roberto Salgado, Brandon D Gallas
Published 2021Call Number: Loading…Connect to this object online.
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