Issued Patents All Time
Showing 1–25 of 106 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 12412405 | Batch effect mitigation in digitized images | Andrew Janowczyk | 2025-09-09 |
| 12376750 | Tumor characterization and outcome prediction through quantitative measurements of tumor-associated vasculature | Nathaniel Braman | 2025-08-05 |
| RE50416 | Quality control for digital pathology slides | Andrew Janowczyk | 2025-05-06 |
| RE50286 | Intra-perinodular textural transition (ipris): a three dimenisonal (3D) descriptor for nodule diagnosis on lung computed tomography (CT) images | Mehdi Alilou | 2025-01-28 |
| 12159403 | Combination of features from biopsies and scans to predict prognosis in SCLC | Cristian Barrera, Mohammadhadi Khorrami, Prantesh Jain, Afshin Dowlati | 2024-12-03 |
| 12073560 | Computational features of tumor-infiltrating lymphocyte (TIL) architecture | Sepideh Azarianpour Esfahani, Haider Mahdi | 2024-08-27 |
| 12014488 | Distinguishing colon cancer stages based on computationally derived morphological features of cancer nuclei | Neeraj Kumar, Joseph Willis | 2024-06-18 |
| 12008747 | Population-specific prediction of prostate cancer recurrence based on stromal morphology features | Hersh Bhargava, Patrick Leo, Priti Lal | 2024-06-11 |
| 11983868 | Predicting neo-adjuvant chemotherapy response from pre-treatment breast magnetic resonance imaging using artificial intelligence and HER2 status | Nathaniel Braman, Kavya Ravichandran, Andrew Janowczyk | 2024-05-14 |
| 11922625 | Predicting overall survival in early stage lung cancer with feature driven local cell graphs (FeDeG) | Cheng Lu | 2024-03-05 |
| 11896349 | Tumor characterization and outcome prediction through quantitative measurements of tumor-associated vasculature | Nathaniel Braman | 2024-02-13 |
| 11861836 | Image analysis method, estimating device, estimating system, and storage medium | Kazuaki Nakane, Chaoyang Yan, Xiangxue Wang, Yao Fu, Haoda Lu +3 more | 2024-01-02 |
| 11817204 | Specialized computer-aided diagnosis and disease characterization with a multi-focal ensemble of convolutional neural networks | Nathaniel Braman, Tristan Maidment, Yijiang Chen | 2023-11-14 |
| 11810292 | Disease characterization and response estimation through spatially-invoked radiomics and deep learning fusion | Nathaniel Braman, Jeffrey Eben | 2023-11-07 |
| 11798179 | Structural rectal atlas deformation features for characterizing intra-wall and peri-wall chemoradiation response on magnetic resonance imaging (MRI) | Jacob Antunes, Zhouping Wei, Pallavi Tiwari, Satish Viswanath, Charlems Alvarez Jimenez | 2023-10-24 |
| 11676703 | Combination of radiomic and pathomic features in the prediction of prognoses for tumors | Pranjal Vaidya, Kaustav Bera | 2023-06-13 |
| 11645753 | Deep learning-based multi-site, multi-primitive segmentation for nephropathology using renal biopsy whole slide images | Catherine Jayapandian, Yijiang Chen, Andrew Janowczyk, John Sedor, Laura Barisoni | 2023-05-09 |
| 11610304 | Predicting tumor prognoses based on a combination of radiomic and clinico-pathological features | Pranjal Vaidya, Kaustav Bera | 2023-03-21 |
| 11576640 | Fractal analysis of left atrium to predict atrial fibrillation recurrence | Marjan Firouznia, Mina K. Chung, Albert Feeny | 2023-02-14 |
| 11574404 | Predicting recurrence and overall survival using radiomic features correlated with PD-L1 expression in early stage non-small cell lung cancer (ES-NSCLC) | Pranjal Vaidya, Kaustav Bera, Prateek Prasanna, Vamsidhar Velcheti | 2023-02-07 |
| 11555877 | Radiographic-deformation and textural heterogeneity (r-DepTH): an integrated descriptor for brain tumor prognosis | Pallavi Tiwari, Prateek Prasanna | 2023-01-17 |
| 11540796 | Prediction of risk of post-ablation atrial fibrillation based on radiographic features of pulmonary vein morphology from chest imaging | Michael LaBarbera, Thomas Atta-Fosu, Mina K. Chung | 2023-01-03 |
| 11494900 | Prognosis of prostate cancer with computerized histomorphometric features of tumor morphology from routine hematoxylin and eosin slides | Patrick Leo, Andrew Janowczyk, Kaustav Bera | 2022-11-08 |
| 11464473 | Distinguishing minimally invasive carcinoma and adenocarcinoma in situ from invasive adenocarcinoma with intratumoral and peri-tumoral textural features | Pranjal Vaidya, Kaustav Bera | 2022-10-11 |
| 11461891 | Phenotyping tumor infiltrating lymphocytes on hematoxylin and eosin (HandE) stained tissue images to predict recurrence in lung cancer | Cristian Barrera, German Corredor, Eduardo Romero | 2022-10-04 |