Publications and Scientific Developments

2025

1. “Intra-Perinodular Textural Transition (IPRIS): A Three Dimensional (3D) Descriptor for Nodule Diagnosis on Lung Computed Tomography (CT) Images”, Mehdi Alilou, Anant Madabhushi, United States Reissued Patent: US RE50,286 E, January 28th, 2025

2024

1. “Image analysis method, estimating device, estimating system, and storage medium”, Kazuaki Nakane, Chaoyang Yan, Xiangxue Wang, Yao Fu, Haoda Lu, Xiangshan Fan, Michael D. Feldman, Anant Madabhushi, Jun Xu, United States Serial Number (USSN): 11,861,836, January 2nd 2024.
2. "Tumor Characterization and Outcome Prediction through Quantitative Measurements of Tumor-Associated Vasculature”, Anant Madabhushi, Nathaniel Braman, United States Serial Number (USSN): 11,896,349, February 13th, 2024.
3. “Predicting Overall Survival in Early Stage Lung Cancer with Feature Driven Local Cell Graphs (FEDEG)”, Anant Madabhushi and Cheng Lu, United States Serial Number (USSN): 11,922,625, March 5th, 2024.
4. “Predicting Neo-Adjuvant Chemotherapy Response From Pre-Treatment Breast Magnetic Resonance Imaging Using Artificial Intelligence and HER2 Status”, Anant Madabhushi, Nathaniel Braman, Kavya Ravichandran, Andrew Janowczyk, United States Serial Number (USSN): 11,922,625, May 14th, 2024.
5. “Population-Specific Prediction of Prostate Cancer Recurrence based on Stromal Morphology Features”, Anant Madabhushi, Hersh Bhargava, Patrick Leo, Priti Lal, United States Serial Number (USSN): 12,008,747,June 11th, 2024.
6. “Distinguishing Colon Cancer Stages Based on Computationally Derived Morphological Features of Cancer Nuclei”, Anant Madabhushi, Neeraj Kumar, Joseph E Willis, United States Serial Number (USSN): 12,014,488,June 18th, 2024.
7. “Computational Features of Tumor-Infiltrating Lymphocyte (TIL) Architecture”, Anant Madabhushi, Sepideh Azarianpour, Mahdi Haider, United States Serial Number (USSN): 12,073,560, August 27th, 2024.
8. “The Combination of features from biopsies and scans to predict prognosis in SCLC”, Anant Madabhushi, Cristian Barrera, Mohammadhadi Khorrami, Prantesh Jain, Afshin Dowlati, United States Serial Number (USSN): 12,159,403, December 3rd, 2024.

2023

1. “Prediction of risk of post-ablation atrial fibrillation based on radiographic features of pulmonary vein morphology from chest imaging”, Anant Madabhushi, Michael LaBarbera, Thomas Atta-Fosu, Mina Chung, United States Serial Number (USSN): 11,540,796, January 3rd, 2023.
2. “Radiographic-Deformation and Textural Heterogeneity (R-Depth): An Integrated Descriptor for Brain Tumor Prognosis”, Pallavi Tiwari, Anant Madabhushi, Prateek Prasanna, United States Serial Number (USSN): 11,555,877, January 17th, 2023.
3. “Predicting Recurrence and Overall Survival Using Radiomic Features Correlated with PD-L1 Expression in Early Stage Non-Small Cell Lung Cancer (ES-NSCLC), Anant Madabhushi, Pranjal Vaidya, Kaustav Bera, Prateek Prasanna, Vamsidhar Velcheti, United States Serial Number (USSN): 11,574,404, February 7th, 2023.
4. “Fractal Analysis of Left Atrium to Predict Atrial Fibrillation Recurrence”, Anant Madabhushi, Marjan Firouznia, Mina K Chung, Albert Feeny, United States Serial Number (USSN): 11,576,640, February 14th, 2023.
5. “Predicting tumor prognoses based on a combination of radiomic and clinico-pathological features”, Pranjal Vaidya, Kaustav Bera, Anant Madabhushi, United States Serial Number (USSN): 11,610,304, March 21st, 2023.
6. “Deep Learning-based Multi-site, Multi-primitive segmentation for nephropathology using renal biopsy whole slide images”, Anant Madabhushi, Catherine Jayapandian, Yijiang Chen, Andrew Janowczyk, John Sedor, Laura Barisoni, United States Serial Number (USSN): 11,645,753, May 9th, 2023.
7. “Combination of Radiomic and Pathomic Features in the Prediction of Prognoses for Tumors”, Pranjal Vaidya, Anant Madabhushi, Kaustav Bera, United States Serial Number (USSN): 11,676,703, June 13th, 2023.
8. “Structural Rectal Atlas Deformation Features for Characterizing Intra-Wall and Peri-Wall Chemoradiation Response on Magnetic Resonance Imaging (MRI)”, Anant Madabhushi, Jacob Antunes, Zhouping Wei, Pallavi Tiwari, Satish E. Viswanath, Charlems Alvarez Jimenz, United States Serial Number (USSN): 11,798,179, October 24th, 2023.
9. “Disease Characterization and Response Estimation Through Spatially-Invoked Radiomics and Deep Learning”, Anant Madabhushi, Nathaniel Braman, Jeff Eben, United States Serial Number (USSN): 11,810,292, November 7th, 2023.
10. “Specialized Computer-Aided Diagnosis and Disease Characterization with a Multi-Focal Ensemble of Convolutional Neural Networks”, Anant Madabhushi, Nathaniel Braman, Tristan Maidment, Yijiang Chen, United States Serial Number (USSN): 11,817,204, November 14th, 2023.

2022

1. “Differential Atlas for Identifying Sites of Recurrence (DISRN) – Predicting Atrial fibrillation recurrence from CT.” Anant Madabhushi, Thomas Atta-Fosu, Soumya Ghose, United States Serial Number (USSN): 11,284,851, March 29th, 2022.
2. “Fast Synthetic Haralick texture generation for histology images”, Cheng Lu, Anant Madabhushi, Khoi Le, United States Serial Number (USSN): 11,295,112, April 5th, 2022.
3. “Spatial-and-context aware virtual biopsy radiogenomic maps to target tumor mutational status”, Pallavi Tiwari, Anant Madabhushi, Marwa Ismail, Niha Beig, Prateek Prasanna, United States Serial Number (USSN): 11,321,842, May 3rd, 2022.
4. “Recurrence prognosis and prediction of added benefit of adjuvant chemotherapy in early- stage non-small cell lung cancer with radiomic features on baseline computed tomography”, Pranjal Vaidya, Vamsi Velcheti, Kaustav Bera, Anant Madabhushi, United States Serial Number (USSN): 11,350,901, June 7th, 2022.
5. “Analysis of prostate glands using three-dimensional (3D) morphology features of prostate from 3D pathology images”, Anant Madabhushi, Can Koyuncu, Cheng Lu, Nicholas P. Reder, Jonathan Teng-Chieh Liu, United States Serial Number (USSN): 11,361,437, June 14th, 2022.
6. “Feature driven local cell graph (FeDeG): Predicting overall survival in early stage lung cancer”. Anant Madabhushi, Cheng Lu, United States Serial Number (USSN): 11,455,718, September 27th, 2022.
7. “Predicting Recurrence in Lung Cancer with Phenotyping Tumor Infiltrating Lymphocytes (PhenoTIL) on Hematoxylin and Eosin (H&E) Tissue Images”. Anant Madabhushi, German Corredor Prada, Cristian Barrera, Eduardo Romero, United States Serial Number (USSN): 11,461,891, October 4th, 2022.
8. “Distinguishing minimally invasive carcinoma and adenocarcinoma in situ from invasive adenocarcinoma with intratumoral and peri-tumoral textural features”, Anant Madabhushi, Kaustav Bera, Pranjal Vaidya, United States Serial Number (USSN): 11,464,473, October 11th, 2022.
9. “Prognosis of Prostate Cancer with Computerized Histomorphometric Features of Tumor Morphology from Routine Hematoxylin and Eosin Slides”, Anant Madabhushi, Patrick Leo, Andrew Janowczyk, Kaustav Bera, United States Serial Number (USSN): 11,494,900, November 8th, 2022.

2021

1. “Predicting response to immunotherapy using computer extracted features relating to spatial arrangement of tumor infiltrating lymphocytes in non-small cell lung cancer” Anant Madabhushi, Xiangxue Wang, Cristian Barrera, Vamsidhar Velcheti, United States Serial Number (USSN): 10,902,256, January 26th, 2021.
2. “Predicting pathological complete response to neoadjuvant chemotherapy from baseline breast dynamic contrast enhanced magnetic resonance imaging (DCE-MRI)” Anant Madabhushi, Nathaniel Braman, Andrew Janowczyk, Kavya Ravichandran, United States Serial Number (USSN): 10,902,591, January 26th, 2021.
3. “Probabilistic atlases of post-treatment multi-parametric MRI scans reveal distinct hemispheric distribution of glioblastoma progression versus pseudo-progression”, Pallavi Tiwari, Marwa Ismail, Anant Madabhushi, United States Serial Number (USSN): 10,921,408, February 16th, 2021.
4. “Predicting outcome in invasive breast cancer from collagen fiber orientation disorder features in tumor associated stroma”, Anant Madabhushi, Haojia Li, United States Serial Number (USSN): 10,921,408, March 2nd, 2021.
5. “Predicting response to anti-vascular endothelial growth factor therapy with computer-extracted morphology and spatial arrangement features of leakage patterns on baseline fluorescein angiography in diabetic macular edema” Anant Madabhushi, Prateek Prasanna, Justis Ehlers, Sunil Srivastava, United States Serial Number (USSN): 10,943,348, March 9th, 2021.
6. “Methods and apparatus for predicting benefit from immunotherapy using tumoral and peritumoral radiomic features”, Anant Madabhushi, Mahdi Orooji, Niha Beig, Vamsidhar Velcheti, United States Serial Number (USSN): 10,950,351, March 16th, 2021.
7. “Predicting recurrence in early stage non-small cell lung cancer (NSCLC) using spatial arrangement of clusters of tumor infiltrating lymphocytes and cancer nuclei” Anant Madabhushi, Xiangxue Wang, Vamsidhar Velcheti, United States Serial Number (USSN): 10,956,795, March 23rd, 2021.
8. “Hough transform-based vascular network disorder fetaures on baseline fluorescein angiography scans can predict response to anti-VEGF therapy in diabetic macularedema”, Anant Madabhushi, Prateek Prasanna, Justis Ehlers, Sunil K Srivastava, United States Serial Number (USSN): 10,970,838, April 6th, 2021.
9. “Predicting prostate cancer risk of progression with multiparametric magnetic resonance imaging using machine learning and peritumoral radiomics”, Anant Madabhushi, Ahmad Algohary, Rakesh Shiradkar, United States Serial Number (USSN): 11,011,265, May 18th, 2021.
10. “Radiomic features of prostate bi-parametric magnetic resonance imaging (BPMRI) associate with decipher score”, Anant Madabhushi, Lin Li, Andrei S Purysko, Rakesh Shiradkar, United States Serial Number (USSN): 11,017,896, May 25th, 2021.
11. “Predicting response to immunotherapy using computer extracted features of cancer nuclei from hematoxylin and eosin (HandE) stained images of non-small cell lung cancer (NSCLC).” Anant Madabhushi, Xiangxue Wang, Cristian Barrera, Vamsidhar Velcheti, United States Serial Number (USSN): 11,055,844, July 6th, 2021.
12. “Sequential integration of adversarial networks with handcrafted features (SANwicH): identifying sites of prognostic significance for predicting cancer recurrence”, Anant Madabhushi, Xiangxue Wang, United States Serial Number (USSN): 11,107,583, August 31st, 2021.
13. “Structural rectal atlas deformation features for characterizing intra-wall and peri-wall chemoradiation response on magnetic resonance imaging (MRI)”, Anant Madabhushi, Jacob Antunes, Zhouping Wei, Pallavi Tiwari, Satish E Viswanath, United States Serial Number (USSN): 11,158,051, October 25th, 2021.

2024

• “Quantifying Mass Effect Deformation with Structural Radiomics in Brain Tumor Patients” Anant Madabhushi, Pallavi Tiwari, Gavin Hanson, Jhimli Mitra, European Patent No. EP3487404). European Patent Office, December 25th, 2024.

2022

• “Methods and Apparatus for Predicting Benefit from Immunotherapy Using Tumoral and Peritumoral Radiomic Features”, Anant Madabhushi, Mahdi Orooji, Niha Beig, EP 3488 366 B1 / WO 2018/017355, January 5th, 2022.

2016

• “Image based risk score: A prognostic predictor of survival and outcome from digital histopathology”, Anant Madabhushi, Ajay Basavanhally, Shridar Ganesan, HK20150108132 20150821, February 5th, 2016.
  
  

2015

• “High-Throughput Biomarker Segmentation Utilizing Hierarchical Normalized Cuts”, Andrew Janowczyk, Sharat Chandran, Anant Madabhushi, IN2374DEN2012, August 21st, 2015.

To keep up with the latest articles online ahead of publication, click here.

2025

• Opportunities for artificial intelligence in oncology: From the lens of clinicians and patients. https://doi.org/10.1200/OP-24-00797 
• Artificial intelligence applications in cardio-oncology: A comprehensive review. https://doi.org/10.1007/s11886-025-02215-w
• Artificial intelligence in digital pathology - time for a reality check. https://doi.org/10.1038/s41571-025-00991-6
• Novel radiogenomics approach to predict and characterize pneumonitis in stage III NSCLC. https://doi.org/10.1038/s41698-024-00790-9
• Clinical relevance of computational pathology analysis of interplay between kidney microvasculature and interstitial microenvironment. https://doi.org/10.2215/cjn.0000000597

2024

• Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer. https://doi.org/10.1002/path.6238
• Failing to make the grade: Conventional cardiac allograft rejection grading criteria are inadequate for predicting rejection severity. https://doi.org/10.1161/CIRCHEARTFAILURE.123.010950
• Computational pathology identifies immune-mediated collagen disruption to predict clinical outcomes in gynecological malignancies. https://doi.org/10.1038/s43856-023-00428-0
• Vision transformers for computational histopathology. https://doi.org/10.1109/rbme.2023.3297604
• Identifying primary tumor site of origin for liver metastases via a combination of handcrafted and deep learning features. https://doi.org/10.1002/cjp2.344

• A review of AI-based radiomics and computational pathology approaches in triple-negative breast cancer: current applications and perspectives. https://doi.org/10.1016/j.clbc.2023.06.004
• Visual assessment of 2-dimensional levels within 3-dimensional pathology datasets of prostate needle biopsies reveals substantial spatial heterogeneity. https://doi.org/10.1016/j.labinv.2023.100265
• Recurrent oropharyngeal squamous cell carcinomas maintain anti-tumor immunity and multinucleation levels following completion of radiation. https://doi.org/10.1007/s12105-023-01597-z
• Intra-nucleus mosaic pattern (InMop) and whole-cell Haralick combined-descriptor for identifying and characterizing acute leukemia blasts on single cell peripheral blood images. https://doi.org/10.1002/cyto.a.24785
• Single-cell morphological and topological atlas reveals the ecosystem diversity of human breast cancer. https://doi.org/10.1038/s41467-023-42504-y
• Can radiomics bridge the gap between immunotherapy and precision medicine in lung cancer? https://doi.org/10.1016/j.jtho.2023.03.011
• Computational pathology improves risk stratification of a multi-gene assay for early state ER+ breast cancer. https://doi.org/10.1038/s41523-023-00545-y
• Novel fractal-based sub-RPE compartment OCT radiomics biomarkers are associated with subfoveal geographic atrophy in dry AMD. https://doi.org/10.1109/TBME.2023.3270201 
• Integrating radiomics with clinicoradiological scoring can predict high-risk patients who need surgery in crohn's disease: a pilot study. https://doi.org/10.1093/ibd/izac211
• Spatial connectivity of tumor and associated cells (SpaCell): a novel computational pathology biomarker https://doi.org/10.1117/12.2653950
• A pathomic study for risk stratification and unraveling molecular associations of different histologic subtypes of papillary thyroid cancer https://doi.org/10.1117/12.2655929
• Automated analysis of computerized morphological features of cell clusters associated with malignancy on bile duct brushing whole slide images https://doi.org/10.1002/cam4.5365
• Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer. https://doi.org/10.1016/j.media.2022.102702
• Deep-learning-based hepatic fat assessment (DeHFt) on non-contrast chest CT and its association with disease severity in COVID-19 infections: A multi-site retrospective. https://doi.org/10.1016/j.ebiom.2022.104315
• The state of the art for artificial intelligence in lung digital pathology. https://doi.org/10.1002/path.5966
• Prostate Surface Distension and Tumor Texture Descriptors From Pre-Treatment MRI Are Associated With Biochemical Recurrence Following Radical Prostatectomy: Preliminary Findings. https://doi.org/10.3389/fonc.2022.841801
• Machine Learning to Predict Risk of Relapse Using Cytologic Image Markers in Patients With Acute Myeloid Leukemia Posthematopoietic Cell Transplantation. https://doi.org/10.1200/cci.21.00156
• An Imaging Biomarker of Tumor-Infiltrating Lymphocytes to Risk-Stratify Patients With HPV-Associated Oropharyngeal Cancer. https://doi.org/10.1093/jnci/djab215
• Novel Imaging Biomarkers to Assess Oncologic Treatment-Related Changes. https://doi.org/10.1200/edbk_350931
• History of the SPIE Medical Imaging Digital Pathology Conference, https://doi.org/10.1117/1.jmi.9.s1.012203