Inventor

MADABHUSHI ANANT

US109 patents

⚠️ This page may combine multiple inventors who share the name “MADABHUSHI ANANT”. Patents are grouped by organization below to help distinguish them — per-person disambiguation is on the roadmap.

MADABHUSHI ANANT

UNIV CASE WESTERN RESERVE

Spatially aware cell cluster (SPACCL) graphs

Automatic detection of mitosis using handcrafted and convolutional neural network features

Predicting immunotherapy response in non-small cell lung cancer patients with quantitative vessel tortuosity

Prediction of recurrence of non-small cell lung cancer

Prediction of recurrence of non-small cell lung cancer with tumor infiltrating lymphocyte (TIL) graphs

High-throughput adaptive sampling for whole-slide histopathology image analysis

Image similarity-based finite element model registration

Co-occurrence of local anisotropic gradient orientations

Spatial-and-context aware virtual biopsy radiogenomic maps to target tumor mutational status

Decision support for disease characterization and treatment response with disease and peri-disease radiomics

Predicting cancer recurrence using local co-occurrence of cell morphology (LoCoM)

Predicting cancer progression using cell run length features

Group-sparse nonnegative supervised canonical correlation analysis (GNCCA)

Predicting recurrence in early stage non-small cell lung cancer (NSCLC) using spatial arrangement of clusters of tumor infiltrating lymphocytes and cancer nuclei

Disease characterization from fused pathology and radiology data

Radiographic-deformation and textural heterogeneity (r-DepTH): an integrated descriptor for brain tumor prognosis

Predicting recurrence in early stage non-small cell lung cancer (NSCLC) with integrated radiomic and pathomic features

Intra-perinodular textural transition (IPRIS): a three dimenisonal (3D) descriptor for nodule diagnosis on lung computed tomography (CT) images

Textural analysis of lung nodules

Tumor plus adjacent benign signature (TABS) for quantitative histomorphometry

Methods and apparatus for predicting benefit from immunotherapy using tumoral and peritumoral radiomic features

Predicting response to immunotherapy using computer extracted features relating to spatial arrangement of tumor infiltrating lymphocytes in non-small cell lung cancer

Characterizing lung nodule risk with quantitative nodule and perinodular radiomics

Characterizing disease and treatment response with quantitative vessel tortuosity radiomics

Predicting immunotherapy response in non-small cell lung cancer with serial radiomics

High-throughput adaptive sampling for whole-slide histopathology image analysis

Disease characterization and response estimation through spatially-invoked radiomics and deep learning fusion

Predicting pathological complete response to neoadjuvant chemotherapy from baseline breast dynamic contrast enhanced magnetic resonance imaging (DCE-MRI)

Predicting disease recurrence following trimodality therapy in non-small cell lung cancer using computed tomography derived radiomic features and clinico-pathologic features

Distinguishing colon cancer stages based on computationally derived morphological features of cancer nuclei

Radiomic features of prostate bi-parametric magnetic resonance imaging (BPMRI) associate with decipher score

Predicting prostate cancer risk of progression with multiparametric magnetic resonance imaging using machine learning and peritumoral radiomics

Predicting overall survival in early stage lung cancer with feature driven local cell graphs (FeDeG)

Predicting overall survival in early stage lung cancer with feature driven local cell graphs (FEDEG)

Histomorphometric classifier to predict cardiac failure from whole-slide hematoxylin and eosin stained images

Discriminatively weighted multi-scale local binary patterns

Fast synthetic Haralick texture generation for histology images

MADABHUSHI ANANT

System and method for automated segmentation, characterization, and classification of possibly malignant lesions and stratification of malignant tumors

Malignancy diagnosis using content-based image retreival of tissue histopathology

Systems and methods for classification of biological datasets

Combined feature ensemble mutual information image registration

System and method for accurate and rapid identification of diseased regions on biological images with applications to disease diagnosis and prognosis

Method and apparatus for shape based deformable segmentation of multiple overlapping objects

Enhanced multi-protocol analysis via intelligent supervised embedding (empravise) for multimodal data fusion

Image-based risk score—A prognostic predictor of survival and outcome from digital histopathology

Method and apparatus for segmentation and registration of longitudinal images

UNIV RUTGERS

Method and apparatus for automatically detecting breast lesions and tumors in images

Integrated multivariate image-based method for disease outcome predicition

VASCUVIS INC

Classification of biological tissue by multi-mode data registration, segmentation and characterization

FELDMAN MICHAEL D

Computer assisted diagnosis (CAD) of cancer using multi-functional, multi-modal in-vivo magnetic resonance spectroscopy (MRS) and imaging (MRI)