Pranjal Vaidya
8Patents
1h-index
7Co-inventors
33Inventor score
Filing activity: Sep 14, 2018 → Jan 26, 2022
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10846367B2 | Predicting recurrence in early stage non-small cell lung cancer (NSCLC) with integrated radiomic and pathomic features | Physics | 2 | Active |
| US11350901B2 | 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 | Physics | 0 | Active |
| US11610304B2 | Predicting tumor prognoses based on a combination of radiomic and clinico-pathological features | Physics | 0 | Active |
| US11574404B2 | Predicting recurrence and overall survival using radiomic features correlated with PD-L1 expression in early stage non-small cell lung cancer (ES-NSCLC) | Physics | 0 | Active |
| US12327349B2 | Fully automated assessment of coronary vulnerable plaque in coronary CT images using radiomic features | Physics | 0 | Active |
| US10839513B2 | Distinguishing hyperprogression from other response patterns to PD1/PD-L1 inhibitors in non-small cell lung cancer with pre-therapy radiomic features | Physics | 0 | Active |
| US11464473B2 | Distinguishing minimally invasive carcinoma and adenocarcinoma in situ from invasive adenocarcinoma with intratumoral and peri-tumoral textural features | Physics | 0 | Active |
| US11676703B2 | Combination of radiomic and pathomic features in the prediction of prognoses for tumors | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.