Cheng Lu

发表

Spatial Architecture and Arrangement of Tumor-Infiltrating Lymphocytes for Predicting Likelihood of Recurrence in Early-Stage Non–Small Cell Lung Cancer

A. Madabhushi, Xiangxue Wang, K. Syrigos, 2018, Clinical Cancer Research.

Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers

A. Madabhushi, Xiangxue Wang, S. Ganesan, 2018, Laboratory Investigation.

Spatial arrangement of leakage patterns in diabetic macular edema is associated with tolerance of aflibercept treatment interval length: preliminary findings

Prateek Prasanna, Cheng Lu, Anant Madabhushi, 2019, Medical Imaging.

Spatial interplay patterns of cancer nuclei and tumor-infiltrating lymphocytes (TILs) predict clinical benefit for immune checkpoint inhibitors

A. Madabhushi, Xiangxue Wang, K. Schalper, 2022, Science advances.

PATHOLOGY INFORMATICS SUMMIT 2018

David E. Breen, William B. Lober, Hamid R. Tizhoosh, 2018, Journal of Pathology Informatics.

Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images

A. Madabhushi, Xiangxue Wang, Jun Xu, 2022, Comput. Biol. Medicine.

Glandular orientation and shape determined by computational pathology could identify aggressive tumor for early colon carcinoma: a triple-center study

Cheng Lu, Cheng Lu, Zhi Zeng, 2020, Journal of Translational Medicine.

Identifying the origination of liver metastasis using a hand-crafted computational pathology approach

A. Madabhushi, Cheng Lu, Chuheng Chen, 2022, Medical Imaging.

Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome

A. Madabhushi, D. Rimm, K. Schalper, 2022, npj Precision Oncology.

A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer

A. Madabhushi, Xiangxue Wang, V. Velcheti, 2021, EBioMedicine.

Oropharyngeal cancer outcomes correlate with p16 status, multinucleation and immune infiltration

A. Madabhushi, E. Sturgis, Patricia D. Castro, 2022, Modern Pathology.

Integrating Radiomics With Clinicoradiological Scoring Can Predict High-Risk Patients Who Need Surgery in Crohn's Disease: A Pilot Study.

A. Madabhushi, M. Dave, Cheng Lu, 2022, Inflammatory bowel diseases.

An End-to-End Integrated Clinical and CT-Based Radiomics Nomogram for Predicting Disease Severity and Need for Ventilator Support in COVID-19 Patients: A Large Multisite Retrospective Study

A. Madabhushi, R. Gilkeson, P. Fu, 2021, Frontiers in Radiology.

Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer

A. Madabhushi, R. Grobholz, A. Janowczyk, 2022, Medical Image Anal..

Computer‐extracted features of nuclear morphology in hematoxylin and eosin images distinguish stage II and IV colon tumors

A. Madabhushi, J. Willis, P. Fu, 2022, The Journal of pathology.

Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma: A multi-site validation study.

A. Madabhushi, Jun Xu, Patricia D. Castro, 2021, The Journal of clinical investigation.

Collagen fiber orientation disorder from H&E images is prognostic for early stage breast cancer: clinical trial validation

A. Madabhushi, S. Ganesan, Hannah Gilmore, 2021, npj Breast Cancer.

Collagen fiber orientation disorder from H&E images is prognostic for early stage breast cancer: clinical trial validation

A. Madabhushi, S. Ganesan, Hannah Gilmore, 2021, NPJ breast cancer.

An Imaging Biomarker of Tumor-Infiltrating Lymphocytes to Risk-Stratify Patients With HPV-Associated Oropharyngeal Cancer

A. Madabhushi, Patricia D. Castro, J. Bishop, 2021, Journal of the National Cancer Institute.

LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN Model of Infiltrates for COVID-19 Prognosis

Anant Madabhushi, Kaustav Bera, Amogh Hiremath, 2021, MICCAI.

Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers

Can Fahrettin Koyuncu, Andrew Janowczyk, Prateek Prasanna, 2020, Medical Image Anal..

A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study

A. Madabhushi, Xiangxue Wang, Jun Xu, 2020, The Lancet. Digital health.

Automatic Nuclei Detection Based on Generalized Laplacian of Gaussian Filters

Mrinal K. Mandal, Cheng Lu, Hongming Xu, 2017, IEEE Journal of Biomedical and Health Informatics.

A watershed and feature-based approach for automated detection of lymphocytes on lung cancer images

Cheng Lu, Anant Madabhushi, Eduardo Romero, 2018, Medical Imaging.

Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer

Prateek Prasanna, Cheng Lu, Anant Madabhushi, 2018, MICCAI.

Radiomics-based assessment of ultra-widefield leakage patterns and vessel network architecture in the PERMEATE study: insights into treatment durability

A. Madabhushi, S. Srivastava, P. Prasanna, 2020, British Journal of Ophthalmology.

Tu1966 A Machine-Learning Based Risk Score to Predict Response to Therapy in Crohn's Disease via Baseline MRE

A. Madabhushi, M. Dave, F. Cominelli, 2016 .

Glandular orientation and shape determined by computational pathology could identify aggressive tumor for early colon carcinoma: a triple-center study

Cheng Lu, Zhi Zeng, W. Dong, 2020, Journal of Translational Medicine.

Nuclear shape, architecture and orientation features from H&E images are able to predict recurrence in node-negative gastric adenocarcinoma

Cheng Lu, Zhi Zeng, W. Dong, 2019, Journal of Translational Medicine.

Deep computational image analysis of immune cell niches reveals treatment-specific outcome associations in lung cancer

A. Madabhushi, D. Rimm, K. Schalper, 2023, NPJ precision oncology.

Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need for Ventilator Support in COVID-19 Patients: A Multi-Site Study

A. Madabhushi, R. Gilkeson, P. Fu, 2021, IEEE Journal of Biomedical and Health Informatics.

Machine learning driven index of tumor multinucleation correlates with survival and suppressed anti-tumor immunity in head and neck squamous cell carcinoma patients.

A. Madabhushi, Germán Corredor, M. Frederick, 2023, Oral oncology.

Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images

Shaoting Zhang, Cheng Lu, Anant Madabhushi, 2019, Journal of medical imaging.

A machine learning model for separating epithelial and stromal regions in oral cavity squamous cell carcinomas using H&E-stained histology images: A multi-center, retrospective study.

A. Madabhushi, R. Jordan, T. Teknos, 2022, Oral oncology.

Computational pathology improves risk stratification of a multi-gene assay for early stage ER+ breast cancer

A. Madabhushi, M. Feldman, S. Ganesan, 2023, npj Breast Cancer.

An oral cavity squamous cell carcinoma quantitative histomorphometric-based image classifier of nuclear morphology can risk stratify patients for disease-specific survival

A. Madabhushi, W. Dupont, W. D. Plummer, 2017, Modern Pathology.

CT radiomic signature predicts survival and chemotherapy benefit in stage I and II HPV-associated oropharyngeal carcinoma

A. Madabhushi, Xiangxue Wang, P. Fu, 2023, NPJ precision oncology.

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 study

Sadeer G. Al-Kindi, A. Madabhushi, P. Fu, 2022, eBioMedicine.