Thresholding a Random Forest Classifier. - Florian Baumann; Fangda Li; Arne Ehlers; Bodo Rosenhahn (ISVC (2), 2014)

A Novel Visualization Tool for Evaluating the Accuracy of 3D Sensing and Reconstruction Algorithms for Automatic Dormant Pruning Applications. - Fangda Li; Somrita Chattopadhyay; Shayan A. Akbar; Noha M. Elfiky; Avinash C. Kak (CVPR Workshops, 2016)

RMPD - A Recursive Mid-Point Displacement Algorithm for Path Planning. - Fangda Li; Avinash C. Kak (CoRR, 2017)

RMPD - A Recursive Mid-Point Displacement Algorithm for Path Planning. - Fangda Li; Ankit V. Manerikar; Avinash C. Kak (ICAPS, 2018)

A Splitting-Based Iterative Algorithm for GPU-Accelerated Statistical Dual-Energy X-Ray CT Reconstruction. - Fangda Li; Ankit V. Manerikar; Tanmay Prakash; Avinash C. Kak (Computational Imaging, 2020)

A Spectrum-Adaptive Decomposition Method for Effective Atomic Number Estimation Using Dual Energy CT. - Ankit Manerikar; Fangda Li; Avinash C. Kak (Computational Imaging, 2020)

Deep Learning with Adaptive Attention for Seismic Velocity Inversion. - Fangda Li; Zhenwei Guo; Xinpeng Pan; Jianxin Liu; Yanyi Wang; Dawei Gao (Remote. Sens., 2022)

Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs. - Fangda Li; Zhiqiang Hu; Wen Chen 022; Avinash C. Kak (MICCAI (6), 2023)

Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review. - Chuang Zhu; Shengjie Liu; Feng Xu; Zekuan Yu; Arpit Aggarwal; Germán Corredor; Anant Madabhushi; Qixun Qu; Hongwei Fan; Fangda Li; Yueheng Li; Xianchao Guan; et al. (CoRR, 2023)

A Laplacian Pyramid Based Generative H&E Stain Augmentation Network. - Fangda Li; Zhiqiang Hu; Wen Chen 022; Avinash C. Kak (IEEE Trans. Medical Imaging, 2024)