Hongming Xu

发表

Automated nuclear segmentation in skin histopathological images using multi-scale radial line scanning

N. Jha, Hongming Xu, Huiquan Wang, 2016, 2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT).

Venation-Skeleton Based Curly Leaf Modeling

Dongjian He, Hongming Xu, 2012 .

Machine Learning and Artificial Intelligence-driven Spatial Analysis of the Tumor Immune Microenvironment in Pathology Slides.

F. Cong, Hongming Xu, T. Hwang, 2021, European urology focus.

Spatial analysis of tumor‐infiltrating lymphocytes in histological sections using deep learning techniques predicts survival in colorectal carcinoma

Sung Hak Lee, Hongming Xu, T. Hwang, 2022, The journal of pathology. Clinical research.

Automatic cervical cancer segmentation in multimodal magnetic resonance imaging using an EfficientNet encoder in UNet++ architecture

F. Cong, Hongming Xu, Yue Dong, 2022, Int. J. Imaging Syst. Technol..

Computerized Classification of Prostate Cancer Gleason Scores from Whole Slide Images

Hongming Xu, Sunho Park, Tae Hyun Hwang, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Epidermis segmentation in skin histopathological images based on thickness measurement and k-means algorithm

Hongming Xu, Mrinal Mandal, Hongming Xu, 2015, EURASIP Journal on Image and Video Processing.

Spatial heterogeneity and organization of tumor mutation burden with immune infiltrates within tumors based on whole slide images correlated with patient survival in bladder cancer

N. Radakovich, Sung Hak Lee, Hongming Xu, 2019, Journal of pathology informatics.

Deep transfer learning approach to predict tumor mutation burden (TMB) and delineate spatial heterogeneity of TMB within tumors from whole slide images

S. Park, N. Radakovich, Sung Hak Lee, 2020, bioRxiv.

Deep learning-based histopathological image analysis for automated detection and staging of melanoma

Hongming Xu, Cheng Lu, Salah Alheejawi, 2020 .

Spatial analysis of tumor infiltrating lymphocytes based on deep learning using histopathology image to predict progression-free survival in colorectal cancer

Sung Hak Lee, Hongming Xu, T. Hwang, 2021, bioRxiv.

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.

Radiomics Features of 18F-Fluorodeoxyglucose Positron-Emission Tomography as a Novel Prognostic Signature in Colorectal Cancer

Chihyun Park, Yunku Yeu, S. Baik, 2019, Cancers.

An Efficient Technique for Nuclei Segmentation Based on Ellipse Descriptor Analysis and Improved Seed Detection Algorithm

Mrinal K. Mandal, Cheng Lu, Hongming Xu, 2014, IEEE Journal of Biomedical and Health Informatics.

Fraction and Spatial Organization of Tumor-Infiltrating Lymphocytes Correlating with Bladder Cancer Patient Survival

Hongming Xu, T. Hwang, Sunho Park, 2019, bioRxiv.

Novel lymph node segmentation and proliferation index measurement for skin melanoma biopsy images

Mrinal K. Mandal, Hongming Xu, Salah Alheejawi, 2019, Comput. Medical Imaging Graph..

Deep transfer learning approach to predict tumor mutation burden (TMB) and delineate spatial heterogeneity of TMB within tumors from whole slide images

S. Park, Sung Hak Lee, Hongming Xu, 2019, bioRxiv.

Epidermis segmentation in skin histopathological images based on thickness measurement and k-means algorithm

M. Mandal, Hongming Xu, 2015, EURASIP Journal on Image and Video Processing.

Statistical Local Binary Patterns (SLBP): Application to Prostate Cancer Gleason Score Prediction from Whole Slide Pathology Images

Tae Hyun Hwang, Hongming Xu, Hongming Xu, 2018, bioRxiv.

Automated analysis and classification of melanocytic tumor on skin whole slide images

Mrinal K. Mandal, Cheng Lu, Hongming Xu, 2018, Comput. Medical Imaging Graph..

Automatic measurement of melanoma depth of invasion in skin histopathological images.

Hongming Xu, Mrinal Mandal, Richard Berendt, 2017, Micron.

Computerized measurement of melanoma depth of invasion in skin biopsy images

Huiquan Wang, Mrinal K. Mandal, Hongming Xu, 2017, 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Gaussian Process Based Heteroscedastic Noise Modeling for Tumor Mutation Burden Prediction from Whole Slide Images

Sunho Park, Hongming Xu, Tae Hyun Hwang, 2019, bioRxiv.

Abstract 2111: Transfer learning for tumor mutation burden prediction and spatial heterogeneity analysis from histopathology slides in bladder cancer

Sung Hak Lee, Hongming Xu, T. Hwang, 2020 .

Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images

Jun Xu, Cheng Lu, Anant Madabhushi, 2016, Scientific Reports.

Automated detection of cavernous malformations in brain MRI images

Huiquan Wang, Hongming Xu, Mrinal Mandal, 2017, 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER).

Using transfer learning on whole slide images to predict tumor mutational burden in bladder cancer patients

S. Park, N. Radakovich, Sung Hak Lee, 2019 .

Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks

Hongming Xu, T. Hwang, 2018, ArXiv.

Spatial heterogeneity and organization of tumor mutation burden with immune infiltrates within tumors based on whole slide images correlated with patient survival in bladder cancer

Sung Hak Lee, Hongming Xu, T. Hwang, 2022, Journal of pathology informatics.