Improved Demons Technique with Orthogonal Gradient Information for Medical Image Registration. - Cheng Lu 001; Mrinal Mandal 001 (IEICE Trans. Inf. Syst., 2010)

Efficient temporal alignment of video sequences using unbiased bidirectional dynamic time warping. - Cheng Lu 001; Mrinal K. Mandal 001 (J. Electronic Imaging, 2010)

An efficient technique for motion-based view-variant video sequences synchronization. - Cheng Lu 001; Mrinal Mandal 001 (ICME, 2011)

Efficient video sequences alignment using unbiased bidirectional dynamic time warping. - Cheng Lu 001; Meghna Singh; Irene Cheng 001; Anup Basu; Mrinal Mandal 001 (J. Vis. Commun. Image Represent., 2011)

Automated segmentation and analysis of the epidermis area in skin histopathological images. - Cheng Lu 001; Mrinal Mandal 001 (EMBC, 2012)

Choice of low resolution sample sets for efficient super-resolution signal reconstruction. - Meghna Singh; Cheng Lu 001; Anup Basu; Mrinal Mandal 001 (J. Vis. Commun. Image Represent., 2012)

Singular point detection based on orientation filed regularization and poincaré index in fingerprint images. - Yue Li; Mrinal Mandal 001; Cheng Lu 001 (ICASSP, 2013)

A fusion-based approach for uterine cervical cancer histology image classification. - Soumya De; Ronald Joe Stanley; Cheng Lu 001; L. Rodney Long; Sameer K. Antani; George R. Thoma; Rosemary Zuna (Comput. Medical Imaging Graph., 2013)

Detection of melanocytes in skin histopathological images using radial line scanning. - Cheng Lu 001; Muhammad Mahmood; Naresh Jha; Mrinal Mandal 001 (Pattern Recognit., 2013)

Automated Segmentation of the Melanocytes in Skin Histopathological Images. - Cheng Lu 001; Muhammad Mahmood; Naresh Jha; Mrinal Mandal 001 (IEEE J. Biomed. Health Informatics, 2013)

A Robust Technique for Motion-Based Video Sequences Temporal Alignment. - Cheng Lu 001; Mrinal Mandal 001 (IEEE Trans. Multim., 2013)

Efficient epidermis segmentation for whole slide skin histopathological images. - Cheng Lu 001; Mrinal Mandal 001 (EMBC, 2014)

Toward Automatic Mitotic Cell Detection and Segmentation in Multispectral Histopathological Images. - Cheng Lu 001; Mrinal Mandal 001 (IEEE J. Biomed. Health Informatics, 2014)

An Efficient Technique for Nuclei Segmentation Based on Ellipse Descriptor Analysis and Improved Seed Detection Algorithm. - Hongming Xu 001; Cheng Lu 001; Mrinal Mandal 001 (IEEE J. Biomed. Health Informatics, 2014)

Automated segmentation of regions of interest in whole slide skin histopathological images. - Hong-Ming Xu 001; Cheng Lu 001; Mrinal Mandal 001 (EMBC, 2015)

Automated segmentation of the epidermis area in skin whole slide histopathological images. - Cheng Lu 001; Zhen Ma; Mrinal Mandal 001 (IET Image Process., 2015)

Automated analysis and diagnosis of skin melanoma on whole slide histopathological images. - Cheng Lu 001; Mrinal Mandal 001 (Pattern Recognit., 2015)

Automatic Nuclear Segmentation Using Multiscale Radial Line Scanning With Dynamic Programming. - Hong-Ming Xu 001; Cheng Lu 001; Richard Berendt; Naresh Jha; Mrinal Mandal 001 (IEEE Trans. Biomed. Eng., 2017)

Automatic Nuclei Detection Based on Generalized Laplacian of Gaussian Filters. - Hong-Ming Xu 001; Cheng Lu 001; Richard Berendt; Naresh Jha; Mrinal Mandal 001 (IEEE J. Biomed. Health Informatics, 2017)

Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer. - Cheng Lu 001; Xiangxue Wang; Prateek Prasanna; Germán Corredor; Geoffrey Sedor; Kaustav Bera; Vamsidhar Velcheti; Anant Madabhushi (MICCAI (2), 2018)

A watershed and feature-based approach for automated detection of lymphocytes on lung cancer images. - Germán Corredor; Xiangxue Wang; Cheng Lu 001; Vamsidhar Velcheti; Eduardo Romero 001; Anant Madabhushi (Digital Pathology, 2018)

Automated analysis and classification of melanocytic tumor on skin whole slide images. - Hong-Ming Xu 001; Cheng Lu 001; Richard Berendt; Naresh Jha; Mrinal Mandal 001 (Comput. Medical Imaging Graph., 2018)

Spatial arrangement of leakage patterns in diabetic macular edema is associated with tolerance of aflibercept treatment interval length: preliminary findings. - Prateek Prasanna; Justis Ehlers; Vishal Bobba; Natalia Figueredo; Cheng Lu 001; Sumit Sharma 005; Sunil Srivastava; Anant Madabhushi (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Adherent Nuclei Edge Detection Based on Caps-Unet. - Yuli Chen; Xingwei Li; Huiting Yao; Xue Li; Miao Ma; Zhao Pei; Cheng Lu 001 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores. - Ruiwen Ding; Prateek Prasanna; Germán Corredor; Cheng Lu 001; Priya Velu; Khoi Le; Patrick Leo; Niha G. Beig; Vamsidhar Velcheti; David L. Rimm; Kurt A. Schalper; Anant Madabhushi (Digital Pathology, 2020)

Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer. - Can Fahrettin Koyuncu; Andrew Janowczyk; Cheng Lu 001; Patrick Leo; Mehdi Alilou; Adam K. Glaser; Nicholas P. Reder; Jonathan T. C. Liu; Anant Madabhushi (Digital Pathology, 2020)

Introduction to the special section on Medical Image Processing with Deep Learning (SI-mip). - Li He 002; Cheng Lu 001; Chengcai Leng (Comput. Electr. Eng., 2020)

LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN Model of Infiltrates for COVID-19 Prognosis. - Amogh Hiremath; Lei Yuan; Rakesh Shiradkar; Kaustav Bera; Vidya Sankar Viswanathan; Pranjal Vaidya; Jennifer Furin; Keith Armitage; Robert Gilkeson; Mengyao Ji; Pingfu Fu; Amit Gupta; et al. (MICCAI (7), 2021)

An unsupervised method for histological image segmentation based on tissue cluster level graph cut. - Hong-Ming Xu 001; Lina Liu; Xiujuan Lei; Mrinal Mandal 001; Cheng Lu 001 (Comput. Medical Imaging Graph., 2021)

Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers. - Cheng Lu 001; Can Koyuncu 001; Germán Corredor; Prateek Prasanna; Patrick Leo; Xiangxue Wang; Andrew Janowczyk; Kaustav Bera; James S. Lewis Jr.; Vamsidhar Velcheti; Anant Madabhushi (Medical Image Anal., 2021)

Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need for Ventilator Support in COVID-19 Patients: A Multi-Site Study. - Amogh Hiremath; Kaustav Bera; Lei Yuan; Pranjal Vaidya; Mehdi Alilou; Jennifer Furin; Keith Armitage; Robert Gilkeson; Mengyao Ji; Pingfu Fu; Amit Gupta; Cheng Lu 001; et al. (IEEE J. Biomed. Health Informatics, 2021)

Identifying the origination of liver metastasis using a hand-crafted computational pathology approach. - Chuheng Chen; Cheng Lu 001; Joseph E. Willis; Anant Madabhushi (Digital and Computational Pathology, 2022)

Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images. - Jiawei Xie; Xiaohong Pu; Jian He; Yudong Qiu; Cheng Lu 001; Wei Gao 003; Xiangxue Wang; Haoda Lu; Jiong Shi; Yuemei Xu; Anant Madabhushi; Xiangshan Fan; et al. (Comput. Biol. Medicine, 2022)

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma. - Chu Han; Xipeng Pan; Lixu Yan; Huan Lin; Bingbing Li; Su Yao; Shanshan Lv; Zhenwei Shi; Jinhai Mai; Jiatai Lin; Bingchao Zhao; Zeyan Xu; et al. (CoRR, 2022)

Predicting Microbe-Disease Association Based on Multiple Similarities and LINE Algorithm. - Yueyue Wang; Xiujuan Lei; Cheng Lu 001; Yi Pan 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Transformer as a spatially-aware multi-instance learning framework to predict the risk of death for early-stage non-small cell lung cancer. - Yufei Zhou; Can Koyuncu 001; Cristian Barrera; Germán Corredor; Xiangxue Wang; Cheng Lu 001; Anant Madabhushi (Digital and Computational Pathology, 2023)

Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer. - Yufei Zhou; Can Koyuncu 001; Cheng Lu 001; Rainer Grobholz; Ian Katz; Anant Madabhushi; Andrew Janowczyk (Medical Image Anal., 2023)

CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation. - Jianwei Lin; Jiatai Lin; Cheng Lu 001; Hao Chen 011; Huan Lin; Bingchao Zhao; Zhenwei Shi; Bingjiang Qiu; Xipeng Pan; Zeyan Xu; Biao Huang 008; Changhong Liang; et al. (IEEE Trans. Medical Imaging, 2023)

Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre study. - Zhengyun Feng; Huan Lin; Zaiyi Liu; Lixu Yan; Yumeng Wang; Bingbing Li; Entao Liu; Chu Han; Zhenwei Shi; Cheng Lu 001; Zhenbing Liu; Cheng Pang; et al. (Comput. Methods Programs Biomed., 2023)

SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations. - Xipeng Pan; Jijun Cheng; Feihu Hou; Rushi Lan; Cheng Lu 001; Lingqiao Li; Zhengyun Feng; Huadeng Wang; Changhong Liang; Zhenbing Liu; Xin Chen 058; Chu Han; et al. (Medical Image Anal., 2023)

Measuring dense false positive regions from segmentation result for whole slide tissue histology image. - Zhao Wang; Qianyu Feng; Germán Corredor; Can Koyuncu 001; Cheng Lu 001 (J. Vis. Commun. Image Represent., 2023)

PG-MLIF: Multimodal Low-Rank Interaction Fusion Framework Integrating Pathological Images and Genomic Data for Cancer Prognosis Prediction. - Xipeng Pan; Yajun An; Rushi Lan; Zhenbing Liu; Zaiyi Liu; Cheng Lu 001; Huihua Yang (MICCAI (3), 2024)

Double-Tier Attention Based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer. - Mingkang Wang; Tong Wang; Fengyu Cong; Cheng Lu 001; Hongming Xu 002 (MICCAI (1), 2024)

SeaConvNeXt: A Lightweight Two-Branch Network Architecture for Efficient Prediction of Specific IHC Proteins and Antigens on Hematoxylin and Eosin (H&E) Images. - Yuli Chen; Guoping Chen; Guoying Shi; Yao Zhou; Jiayang Bai; Germán Corredor; Cheng Lu 001; Xiujuan Lei (Big Data Min. Anal., 2024)

Deep learning reveals lung shape differences on baseline chest CT between mild and severe COVID-19: A multi-site retrospective study. - Amogh Hiremath; Vidya Sankar Viswanathan; Kaustav Bera; Rakesh Shiradkar; Lei Yuan; Keith Armitage; Robert Gilkeson; Mengyao Ji; Pingfu Fu; Amit Gupta; Cheng Lu 001; Anant Madabhushi (Comput. Biol. Medicine, 2024)

Protecting Prostate Cancer Classification From Rectal Artifacts via Targeted Adversarial Training. - Lei Hu 002; Dawei Zhou 004; Jiahua Xu; Cheng Lu 001; Chu Han; Zhenwei Shi; Qikui Zhu; Xinbo Gao 001; Nannan Wang 001; Zaiyi Liu (IEEE J. Biomed. Health Informatics, 2024)

CroMAM: A Cross-Magnification Attention Feature Fusion Model for Predicting Genetic Status and Survival of Gliomas Using Histological Images. - Jisen Guo; Peng Xu 004; Yuankui Wu; Yunyun Tao; Chu Han; Jiatai Lin; Ke Zhao; Zaiyi Liu; Wenbin Liu; Cheng Lu 001 (IEEE J. Biomed. Health Informatics, 2024)

Fastest Prostate Cancer Prediction on Whole-Mount Pathological Slides Using Self-Reform Multilayer Transformer. - Linjie Xu; Xiaotian Yu; Haoming Luo; Jili Wang; Wenjie Liang; Jing Zhang 037; Zunlei Feng; Cheng Lu 001; Xiuming Zhang (IEEE Access, 2025)

Uncertainty-guided cross teaching semi-supervised framework for histopathology image segmentation with curriculum self-training. - Rui Xu; Nan Zhou; Siyang Feng; Zhenbing Liu; Huahu Deng; Yajun An; Jian Li; Chu Han; Zaiyi Liu; Rushi Lan; Cheng Lu 001; Xipeng Pan (Appl. Soft Comput., 2025)

Weakly supervised histopathology tissue semantic segmentation with multi-scale voting and online noise suppression. - Xipeng Pan; Hualong Zhang; Huahu Deng; Huadeng Wang; Lingqiao Li; Zhenbing Liu; Lin Wang; Yajun An; Cheng Lu 001; Zaiyi Liu; Chu Han; Rushi Lan (Eng. Appl. Artif. Intell., 2025)

MSFusion: A multi-source hybrid feature fusion network for accurate grading of invasive breast cancer using H&E-stained histopathological images. - Yuli Chen; Jiayang Bai; Jinjie Wang; Guoping Chen; Xinxin Zhang; Duanbo Shi; Xiujuan Lei; Peng Gao; Cheng Lu 001 (Medical Image Anal., 2025)

When multiple instance learning meets foundation models: Advancing histological whole slide image analysis. - Hongming Xu 002; Mingkang Wang; Duanbo Shi; Huamin Qin; Yunpeng Zhang; Zaiyi Liu; Anant Madabhushi; Peng Gao; Fengyu Cong; Cheng Lu 001 (Medical Image Anal., 2025)

Towards Computation- and Communication-efficient Computational Pathology. - Chu Han; Bingchao Zhao; Jiatai Lin; Shanshan Lyu; Longfei Wang; Tianpeng Deng; Cheng Lu 001; Changhong Liang; Hannah Y. Wen; Xiaojing Guo; Zhenwei Shi; Zaiyi Liu (CoRR, 2025)

DAFNet: A novel Dynamic Adaptive Fusion Network for medical image classification. - Ziheng Cai; Yuli Chen; Jinjie Wang; Xin He; Zixuan Pei; Xiujuan Lei; Cheng Lu 001 (Inf. Fusion, 2026)