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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  1. 1
    Content-based image retrieval of digitized histopathology in boosted spectrally embedded spaces

    Content-based image retrieval of digitized histopathology in boosted spectrally embedded spaces by Akshay Sridhar, Scott Doyle, Anant Madabhushi

    Published 2015-01-01
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  2. 2
    Single cell qPCR reveals that additional HAND2 and microRNA-1 facilitate the early reprogramming progress of seven-factor-induced human myocytes.

    Single cell qPCR reveals that additional HAND2 and microRNA-1 facilitate the early reprogramming progress of seven-factor-induced human myocytes. by Emre Bektik, Adrienne Dennis, Prateek Prasanna, Anant Madabhushi, Ji-Dong Fu

    Published 2017-01-01
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  3. 3
    1230 Novel imaging-based radiomics distinguishes radiation and immunotherapy induced pneumonitis in locally advanced NSCLC

    1230 Novel imaging-based radiomics distinguishes radiation and immunotherapy induced pneumonitis in locally advanced NSCLC by Mohammadhadi Khorrami, Anant Madabhushi, Pradnya Patil, Nathan Pennell, Vidya Viswanathan, Lukas Delasos

    Published 2023-11-01
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  4. 4
    Delta radiomic patterns on serial bi-parametric MRI are associated with pathologic upgrading in prostate cancer patients on active surveillance: preliminary findings

    Delta radiomic patterns on serial bi-parametric MRI are associated with pathologic upgrading in prostate cancer patients on active surveillance: preliminary findings by Abhishek Midya, Amogh Hiremath, Jacob Huber, Vidya Sankar Viswanathan, Danly Omil-Lima, Amr Mahran, Leonardo K. Bittencourt, Sree Harsha Tirumani, Lee Ponsky, Rakesh Shiradkar, Anant Madabhushi, Anant Madabhushi

    Published 2023-09-01
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  5. 5
    Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment

    Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment by Sirvan Khalighi, Kartik Reddy, Abhishek Midya, Krunal Balvantbhai Pandav, Anant Madabhushi, Malak Abedalthagafi

    Published 2024-03-01
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  6. 6
    Response to: Correspondence on 'Novel imaging biomarkers predict outcomes in stage III unresectable non-small cell lung cancer treated with chemoradiation and durvalumab' by Zheng et al

    Response to: Correspondence on 'Novel imaging biomarkers predict outcomes in stage III unresectable non-small cell lung cancer treated with chemoradiation and durvalumab' by Zheng... by Pingfu Fu, Mohammadhadi Khorrami, Anant Madabhushi, Nathan Pennell, Khalid Jazieh, Vidya Sankar Viswanathan

    Published 2022-05-01
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  7. 7
    Optical coherence tomography-derived texture-based radiomics features identify eyes with intraocular inflammation in the HAWK clinical trial

    Optical coherence tomography-derived texture-based radiomics features identify eyes with intraocular inflammation in the HAWK clinical trial by Sudeshna Sil Kar, Hasan Cetin, Sunil K. Srivastava, Anant Madabhushi, Justis P. Ehlers

    Published 2024-07-01
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  8. 8
    Identifying primary tumor site of origin for liver metastases via a combination of handcrafted and deep learning features

    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 2024-01-01
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  9. 9
    Automated vector selection of SIVQ and parallel computing integration MATLAB TM : Innovations supporting large-scale and high-throughput image analysis studies

    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 2011-01-01
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  10. 10
    Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX

    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 2011-01-01
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  11. 11
    Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study

    Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study by Jacob Antunes, Satish Viswanath, Mirabela Rusu, Laia Valls, Christopher Hoimes, Norbert Avril, Anant Madabhushi

    Published 2016-04-01
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  12. 12
    Combination of optical coherence tomography-derived shape and texture features are associated with development of sub-foveal geographic atrophy in dry AMD

    Combination of optical coherence tomography-derived shape and texture features are associated with development of sub-foveal geographic atrophy in dry AMD by Sudeshna Sil Kar, Hasan Cetin, Joseph Abraham, Sunil K. Srivastava, Anant Madabhushi, Justis P. Ehlers

    Published 2024-07-01
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  13. 13
    Automated analysis of computerized morphological features of cell clusters associated with malignancy on bile duct brushing whole slide images

    Automated analysis of computerized morphological features of cell clusters associated with malignancy on bile duct brushing whole slide images by Shayan Monabbati, Patrick Leo, Kaustav Bera, Claire W. Michael, Behtash G. Nezami, Aparna Harbhajanka, Anant Madabhushi

    Published 2023-03-01
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  14. 14
    Image analysis Uncovers associations between immune landscape, collagen structure, and neoadjuvant chemotherapy in high-grade serous ovarian carcinomas

    Image analysis Uncovers associations between immune landscape, collagen structure, and neoadjuvant chemotherapy in high-grade serous ovarian carcinomas by Arpit Aggarwal, Germán Corredor, Pingfu Fu, Tilak Pathak, Tuomas Mirtti, Susan Modesitt, T. Rinda Soong, Anant Madabhushi

    Published 2024-07-01
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  15. 15
    The need for the pathology community to sponsor a whole slide imaging repository with technical guidance from the pathology informatics community

    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 2011-01-01
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  16. 16
    Quantitative Nuclear Histomorphometry Predicts Molecular Subtype and Clinical Outcome in Medulloblastomas: Preliminary Findings

    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 2022-01-01
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  17. 17
    Poster Session

    Poster Session by Jason Hipp, Steven Christopher Smith, Jerome Cheng, Scott Tomlins, James Monaco, Anant Madabhushi, Priya Kunju, Ulysses J. Balis

    Published 2011-01-01
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  18. 18
    An integrated radiology-pathology machine learning classifier for outcome prediction following radical prostatectomy: Preliminary findingsKey points

    An integrated radiology-pathology machine learning classifier for outcome prediction following radical prostatectomy: Preliminary findingsKey points by Amogh Hiremath, Germán Corredor, Lin Li, Patrick Leo, Cristina Magi-Galluzzi, Robin Elliott, Andrei Purysko, Rakesh Shiradkar, Anant Madabhushi

    Published 2024-04-01
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  19. 19
    Novel, non-invasive imaging approach to identify patients with advanced non-small cell lung cancer at risk of hyperprogressive disease with immune checkpoint blockade

    Novel, non-invasive imaging approach to identify patients with advanced non-small cell lung cancer at risk of hyperprogressive disease with immune checkpoint blockade by Amit Gupta, Vamsidhar Velcheti, Pranjal Vaidya, Kaustav Bera, Pradnya D Patil, Prantesh Jain, Mehdi Alilou, Mohammadhadi Khorrami, Anant Madabhushi

    Published 2020-10-01
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  20. 20
    Combined Radiomic and Visual Assessment for Improved Detection of Lung Adenocarcinoma Invasiveness on Computed Tomography Scans: A Multi-Institutional Study

    Combined Radiomic and Visual Assessment for Improved Detection of Lung Adenocarcinoma Invasiveness on Computed Tomography Scans: A Multi-Institutional Study by Pranjal Vaidya, Kaustav Bera, Kaustav Bera, Philip A. Linden, Amit Gupta, Amit Gupta, Prabhakar Shantha Rajiah, David R. Jones, Matthew Bott, Harvey Pass, Robert Gilkeson, Robert Gilkeson, Frank Jacono, Kevin Li-Chun Hsieh, Gong-Yau Lan, Vamsidhar Velcheti, Anant Madabhushi, Anant Madabhushi

    Published 2022-05-01
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