X-Ray Luminescence Computed Tomography via Selective Excitation: A Feasibility Study. - Guillem Pratx; Colin Carpenter; Conroy Sun; Lei Xing 001 (IEEE Trans. Medical Imaging, 2010)

Development of a Beam Source Modeling Technique for a Flattening Filter Free (FFF) Beam. - Woong Cho; Jeong-Hoon Park; Won-Gyun Jung; Tae-Suk Suh; Kayla N. Kielar; Ed Mok; Ruijiang Li; Lei Xing 001 (ICMLA (2), 2011)

3D Bayesian Tracking with a Single Imager for Real-Time Image Guidance in Prostate Radiation Therapy. - Ruijiang Li; Benjamin Fahimian; Lei Xing 001 (ICMLA (2), 2011)

A Kernel Method for Real-Time Respiratory Tumor Motion Estimation Using External Surrogates. - Ruijiang Li; Lei Xing 001 (ICMLA (2), 2011)

Automated Detection of Junctions Structures and Tracking of Their Trajectories in 4D Images. - Guanglei Xiong; Lei Xing 001 (IPMI, 2011)

Investigation of X-ray Fluorescence Computed Tomography (XFCT) and K-Edge Imaging. - Magdalena Bazalova; Yu Kuang; Guillem Pratx; Lei Xing 001 (IEEE Trans. Medical Imaging, 2012)

First Demonstration of Multiplexed X-Ray Fluorescence Computed Tomography (XFCT) Imaging. - Yu Kuang; Guillem Pratx; Magdalena Bazalova; Bowen Meng; Jianguo Qian; Lei Xing 001 (IEEE Trans. Medical Imaging, 2013)

X-Ray Luminescence and X-Ray Fluorescence Computed Tomography: New Molecular Imaging Modalities. - Moiz Ahmad; Guillem Pratx; Magdalena Bazalova; Lei Xing 001 (IEEE Access, 2014)

Order of Magnitude Sensitivity Increase in X-ray Fluorescence Computed Tomography (XFCT) Imaging With an Optimized Spectro-Spatial Detector Configuration: Theory and Simulation. - Moiz Ahmad; Magdalena Bazalova; Liangzhong Xiang; Lei Xing 001 (IEEE Trans. Medical Imaging, 2014)

Optimized Detector Angular Configuration Increases the Sensitivity of X-ray Fluorescence Computed Tomography (XFCT). - Moiz Ahmad; Magdalena Bazalova-Carter; Rebecca Fahrig; Lei Xing 001 (IEEE Trans. Medical Imaging, 2015)

Automatic deformable surface registration for medical applications by radial basis function-based robust point-matching. - Youngjun Kim; Yong Hum Na; Lei Xing 001; Rena Lee; Se Hyung Park (Comput. Biol. Medicine, 2016)

Recurrent generative adversarial neural networks for compressive imaging. - Morteza Mardani; Enhao Gong; Joseph Y. Cheng; John M. Pauly; Lei Xing 001 (CAMSAP, 2017)

Liver Lesion Detection Based on Two-Stage Saliency Model with Modified Sparse Autoencoder. - Yixuan Yuan; Max Q.-H. Meng; Wenjian Qin; Lei Xing 001 (MICCAI (3), 2017)

Deep Generative Adversarial Networks for Compressed Sensing Automates MRI. - Morteza Mardani; Enhao Gong; Joseph Y. Cheng; Shreyas Vasanawala; Greg Zaharchuk; Marcus T. Alley; Neil Thakur; Song Han 003; William J. Dally; John M. Pauly; Lei Xing 001 (CoRR, 2017)

Segmentation of Pathological Structures by Landmark-Assisted Deformable Models. - Bulat Ibragimov; Robert Korez; Bostjan Likar; Franjo Pernus; Lei Xing 001; Tomaz Vrtovec (IEEE Trans. Medical Imaging, 2017)

Cone Beam X-ray Luminescence Computed Tomography Based on Bayesian Method. - Guanglei Zhang; Fei Liu 005; Jie Liu; Jianwen Luo 001; Yaoqin Xie; Jing Bai 001; Lei Xing 001 (IEEE Trans. Medical Imaging, 2017)

Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy. - Bulat Ibragimov; Diego A. S. Toesca; Yixuan Yuan; Albert C. Koong; Daniel T. Chang; Lei Xing 001 (MICCAI (2), 2018)

RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection. - Yixuan Yuan; Wenjian Qin; Bulat Ibragimov; Bin Han; Lei Xing 001 (MICCAI (2), 2018)

Optimization of a single insertion electrode array for the creation of clinically relevant ablations using high-frequency irreversible electroporation. - Michael B. Sano; Matthew R. DeWitt; Stephanie D. Teeter; Lei Xing 001 (Comput. Biol. Medicine, 2018)

Learning deconvolutional deep neural network for high resolution medical image reconstruction. - Hui Liu 016; Jun Xu; Yan Wu 012; Qiang Guo 003; Bulat Ibragimov; Lei Xing 001 (Inf. Sci., 2018)

A computation study on an integrated alternating direction method of multipliers for large scale optimization. - Masoud Zarepisheh; Lei Xing 001; Yinyu Ye 001 (Optim. Lett., 2018)

Treatment of Cancer In Vitro Using Radiation and High-Frequency Bursts of Submicrosecond Electrical Pulses. - Michael B. Sano; Olga Volotskova; Lei Xing 001 (IEEE Trans. Biomed. Eng., 2018)

Coded-Aperture Compressed Sensing X-Ray Luminescence Tomography. - Stratis Tzoumas; Don Vernekohl; Lei Xing 001 (IEEE Trans. Biomed. Eng., 2018)

Generalized Adaptive Gaussian Markov Random Field for X-Ray Luminescence Computed Tomography. - Guanglei Zhang; Stratis Tzoumas; Kai Cheng; Fei Liu 005; Jie Liu; Jianwen Luo 001; Jing Bai 001; Lei Xing 001 (IEEE Trans. Biomed. Eng., 2018)

Stochastic Primal-Dual Method for Learning Mixture Policies in Markov Decision Processes. - Masoud Badiei Khuzani; Varun Vasudevan; Hongyi Ren; Lei Xing 001 (CDC, 2019)

Prostate Segmentation with Encoder-Decoder Densely Connected Convolutional Network (Ed-Densenet). - Yixuan Yuan; Wenjian Qin; Xiaoqing Guo; Mark Buyyounouski; Steve Hancock; Bin Han; Lei Xing 001 (ISBI, 2019)

Toward Markerless Image-Guided Radiotherapy Using Deep Learning for Prostate Cancer. - Wei Zhao 029; Bin Han; Yong Yang; Mark Buyyounouski; Steven L. Hancock; Hilary Bagshaw; Lei Xing 001 (AIRT@MICCAI, 2019)

Automatic marker-free target positioning and tracking for image-guided radiotherapy and interventions. - Wei Zhao 029; Liyue Shen; Yan Wu 012; Bin Han; Yong Yang; Lei Xing 001 (Image-Guided Procedures, 2019)

Multiple Kernel Learning from $U$-Statistics of Empirical Measures in the Feature Space. - Masoud Badiei Khuzani; Hongyi Ren; Varun Vasudevan; Lei Xing 001 (CoRR, 2019)

On Sample Complexity of Projection-Free Primal-Dual Methods for Learning Mixture Policies in Markov Decision Processes. - Masoud Badiei Khuzani; Varun Vasudevan; Hongyi Ren; Lei Xing 001 (CoRR, 2019)

A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks. - Masoud Badiei Khuzani; Liyue Shen; Shahin Shahrampour; Lei Xing 001 (CoRR, 2019)

Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications. - Hyunseok Seo; Masoud Badiei Khuzani; Varun Vasudevan; Charles W. Huang; Hongyi Ren; Ruoxiu Xiao; Xiao Jia 005; Lei Xing 001 (CoRR, 2019)

Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations. - Charles W. Huang; Masoud Badiei; Hyunseok Seo; Ming Ma; Xiaokun Liang; Dante Capaldi; Michael Gensheimer 001; Lei Xing 001 (CoRR, 2019)

Real-Time Radiation Treatment Planning with Optimality Guarantees via Cluster and Bound Methods. - Baris Ungun; Lei Xing 001; Stephen P. Boyd (INFORMS J. Comput., 2019)

Self-attention convolutional neural network for improved MR image reconstruction. - Yan Wu 012; Yajun Ma; Jing Liu; Jiang Du 006; Lei Xing 001 (Inf. Sci., 2019)

Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes. - Bulat Ibragimov; Diego A. S. Toesca; Yixuan Yuan; Albert C. Koong; Daniel T. Chang; Lei Xing 001 (IEEE J. Biomed. Health Informatics, 2019)

Deep Generative Adversarial Neural Networks for Compressive Sensing MRI. - Morteza Mardani; Enhao Gong; Joseph Y. Cheng; Shreyas S. Vasanawala; Greg Zaharchuk; Lei Xing 001; John M. Pauly (IEEE Trans. Medical Imaging, 2019)

Deciphering tissue relaxation parameters from a single MR image using deep learning. - Yan Wu 012; Yajun Ma; Jiang Du 006; Lei Xing 001 (Computer-Aided Diagnosis, 2020)

Difficulty-Aware Meta-learning for Rare Disease Diagnosis. - Xiaomeng Li 001; Lequan Yu; Yueming Jin; Chi-Wing Fu; Lei Xing 001; Pheng-Ann Heng (MICCAI (1), 2020)

Obtaining Dual-Energy Computed Tomography (CT) Information from a Single-Energy CT Image forQuantitative Imaging Analysis of Living Subjects by Using Deep Learning. - Wei Zhao 029; Tianling Lv; Rena Lee; Yang Chen 008; Lei Xing 001 (PSB, 2020)

Electro-thermal therapy: Microsecond duration pulsed electric field tissue ablation with dynamic temperature control algorithms. - Michael B. Sano; Ross Aaron Petrella; Jacob D. Kaufman; Christopher C. Fesmire; Lei Xing 001; David Gerber; Callie A. Fogle (Comput. Biol. Medicine, 2020)

A Mean-Field Theory for Learning the Schönberg Measure of Radial Basis Functions. - Masoud Badiei Khuzani; Yinyu Ye 001; Sandy Napel; Lei Xing 001 (CoRR, 2020)

Region-specific Dictionary Learning-based Low-dose Thoracic CT Reconstruction. - Qiong Xu; Jeff Wang; Hiroki Shirato; Lei Xing 001 (CoRR, 2020)

Automated hepatobiliary toxicity prediction after liver stereotactic body radiation therapy with deep learning-based portal vein segmentation. - Bulat Ibragimov; Diego A. S. Toesca; Daniel T. Chang; Yixuan Yuan; Albert C. Koong; Lei Xing 001 (Neurocomputing, 2020)

Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon With Deep-Learning-Based Polyp Recognition. - Xiao Jia 005; Xiaohan Xing; Yixuan Yuan; Lei Xing 001; Max Q.-H. Meng (Proc. IEEE, 2020)

Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction. - Xiao Jia 005; Xiaochun Mai; Yi Cui 002; Yixuan Yuan; Xiaohan Xing; Hyunseok Seo; Lei Xing 001; Max Q.-H. Meng (IEEE Trans Autom. Sci. Eng., 2020)

Densely Connected Neural Network With Unbalanced Discriminant and Category Sensitive Constraints for Polyp Recognition. - Yixuan Yuan; Wenjian Qin; Bulat Ibragimov; Guanglei Zhang; Bin Han; Max Q.-H. Meng; Lei Xing 001 (IEEE Trans Autom. Sci. Eng., 2020)

Superpixel Region Merging Based on Deep Network for Medical Image Segmentation. - Hui Liu 016; Haiou Wang; Yan Wu 012; Lei Xing 001 (ACM Trans. Intell. Syst. Technol., 2020)

Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis. - Xiaomeng Li 001; Mengyu Jia; Md Tauhidul Islam; Lequan Yu; Lei Xing 001 (IEEE Trans. Medical Imaging, 2020)

Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation. - Ivan Olefir; Stratis Tzoumas; Courtney Restivo; Pouyan Mohajerani; Lei Xing 001; Vasilis Ntziachristos (IEEE Trans. Medical Imaging, 2020)

Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images. - Hyunseok Seo; Charles W. Huang; Maxime Bassenne; Ruoxiu Xiao; Lei Xing 001 (IEEE Trans. Medical Imaging, 2020)

TransCT: Dual-Path Transformer for Low Dose Computed Tomography. - Zhicheng Zhang; Lequan Yu; Xiaokun Liang; Wei Zhao 029; Lei Xing 001 (MICCAI (6), 2021)

DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation. - Junfei Xiao; Lequan Yu; Lei Xing 001; Alan L. Yuille; Yuyin Zhou (CoRR, 2021)

Operator Splitting for Adaptive Radiation Therapy with Nonlinear Health Dynamics. - Anqi Fu; Lei Xing 001; Stephen Boyd (CoRR, 2021)

Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning. - Lequan Yu; Zhicheng Zhang; Xiaomeng Li 001; Hongyi Ren; Wei Zhao 029; Lei Xing 001 (CoRR, 2021)

RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR. - Yuyin Zhou; Shih-Cheng Huang; Jason Alan Fries; Alaa Youssef; Timothy J. Amrhein; Marcello Chang; Imon Banerjee; Daniel L. Rubin; Lei Xing 001; Nigam Shah; Matthew P. Lungren (CoRR, 2021)

Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network. - Tianling Lyu; Wei Zhao 029; Yinsu Zhu; Zhan Wu; Yikun Zhang 001; Yang Chen 008; Limin Luo 001; Shuo Li 001; Lei Xing 001 (Medical Image Anal., 2021)

Geometry and statistics-preserving manifold embedding for nonlinear dimensionality reduction. - Md Tauhidul Islam; Lei Xing 001 (Pattern Recognit. Lett., 2021)

Pareto Optimal Projection Search (POPS): Automated Radiation Therapy Treatment Planning by Direct Search of the Pareto Surface. - Charles W. Huang; Yong Yang; Neil Panjwani; Stephen P. Boyd; Lei Xing 001 (IEEE Trans. Biomed. Eng., 2021)

Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis. - Xiaomeng Li 001; Xiaowei Hu 001; Xiaojuan Qi 001; Lequan Yu; Wei Zhao 029; Pheng-Ann Heng; Lei Xing 001 (IEEE Trans. Medical Imaging, 2021)

Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions. - Hyunseok Seo; Maxime Bassenne; Lei Xing 001 (IEEE Trans. Medical Imaging, 2021)

Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation. - Hyunseok Seo; Lequan Yu; Hongyi Ren; Xiaomeng Li 001; Liyue Shen; Lei Xing 001 (IEEE Trans. Medical Imaging, 2021)

Multi-Domain Image Completion for Random Missing Input Data. - Liyue Shen; Wentao Zhu 001; Xiaosong Wang 001; Lei Xing 001; John M. Pauly; Baris Turkbey; Stephanie Anne Harmon; Thomas Hogue Sanford; Sherif Mehralivand; Peter L. Choyke; Bradford J. Wood; Daguang Xu (IEEE Trans. Medical Imaging, 2021)

Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images. - Lequan Yu; Zhicheng Zhang; Xiaomeng Li 001; Lei Xing 001 (IEEE Trans. Medical Imaging, 2021)

Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation. - Xiaomeng Li 001; Lequan Yu; Hao Chen 011; Chi-Wing Fu; Lei Xing 001; Pheng-Ann Heng (IEEE Trans. Neural Networks Learn. Syst., 2021)

Solving Inverse Problems in Medical Imaging with Score-Based Generative Models. - Yang Song 011; Liyue Shen; Lei Xing 001; Stefano Ermon (ICLR, 2022)

CateNorm: Categorical Normalization for Robust Medical Image Segmentation. - Junfei Xiao; Lequan Yu; Zongwei Zhou; Yutong Bai; Lei Xing 001; Alan L. Yuille; Yuyin Zhou (DART@MICCAI, 2022)

Human-level comparable control volume mapping with a deep unsupervised-learning model for image-guided radiation therapy. - Xiaokun Liang; Maxime Bassenne; Dimitre H. Hristov; Md Tauhidul Islam; Wei Zhao 029; Mengyu Jia; Zhicheng Zhang; Michael Gensheimer 001; Beth M. Beadle; Quynh Le; Lei Xing 001 (Comput. Biol. Medicine, 2022)

A geometry-informed deep learning framework for ultra-sparse 3D tomographic image reconstruction. - Liyue Shen; Wei Zhao 029; Dante Capaldi; John M. Pauly; Lei Xing 001 (Comput. Biol. Medicine, 2022)

Learning to Bootstrap for Combating Label Noise. - Yuyin Zhou; Xianhang Li; Fengze Liu; Xuxi Chen; Lequan Yu; Cihang Xie; Matthew P. Lungren; Lei Xing 001 (CoRR, 2022)

Learning Treatment Plan Representations for Content Based Image Retrieval. - Charles W. Huang; Varun Vasudevan; Oscar Pastor-Serrano; Md Tauhidul Islam; Yusuke Nomura; Yong Yang; Lei Xing 001 (CoRR, 2022)

An Efficient Framework for Video Documentation of Bladder Lesions for Cystoscopy: A Proof-of-Concept Study. - Okyaz Eminaga; T. Jessie Ge; Eugene Shkolyar; Mark A. Laurie; Timothy J. Lee; Lukas Hockman; Xiao Jia 005; Lei Xing 001; Joseph C. Liao (J. Medical Syst., 2022)

Novel-view X-ray projection synthesis through geometry-integrated deep learning. - Liyue Shen; Lequan Yu; Wei Zhao 029; John M. Pauly; Lei Xing 001 (Medical Image Anal., 2022)

Operator splitting for adaptive radiation therapy with nonlinear health dynamics. - Anqi Fu; Lei Xing 001; Stephen P. Boyd (Optim. Methods Softw., 2022)

Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation. - Qingyue Wei; Lequan Yu; Xianhang Li; Wei Shao 008; Cihang Xie; Lei Xing 001; Yuyin Zhou (MICCAI (4), 2023)

Ultrafast Labeling for Multiplexed Immunobiomarkers from Label-free Fluorescent Images. - Zixia Zhou; Yuming Jiang 005; Ruijiang Li; Lei Xing 001 (AMAI@MICCAI, 2023)

PINER: Prior-informed Implicit Neural Representation Learning for Test-time Adaptation in Sparse-view CT Reconstruction. - Bowen Song; Liyue Shen; Lei Xing 001 (WACV, 2023)

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. - Jieneng Chen; Jieru Mei; Xianhang Li; Yongyi Lu; Qihang Yu; Qingyue Wei; Xiangde Luo; Yutong Xie 001; Ehsan Adeli 001; Yan Wang 033; Matthew P. Lungren; Lei Xing 001; et al. (CoRR, 2023)

In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering. - Sheng Liu; Lei Xing 001; James Zou 001 (CoRR, 2023)

Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. - Rui Yan; Liangqiong Qu; Qingyue Wei; Shih-Cheng Huang; Liyue Shen; Daniel L. Rubin; Lei Xing 001; Yuyin Zhou (IEEE Trans. Medical Imaging, 2023)

Image classification using graph neural network and multiscale wavelet superpixels. - Varun Vasudevan; Maxime Bassenne; Md Tauhidul Islam; Lei Xing 001 (Pattern Recognit. Lett., 2023)

Small-Object Sensitive Segmentation Using Across Feature Map Attention. - Shengtian Sang; Yuyin Zhou; Md Tauhidul Islam; Lei Xing 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Leveraging cell-cell similarity for high-performance spatial and temporal cellular mappings from gene expression data. - Md Tauhidul Islam; Lei Xing 001 (Patterns, 2023)

Adaptive Region-Specific Loss for Improved Medical Image Segmentation. - Yizheng Chen; Lequan Yu; Jen-Yeu Wang; Neil Panjwani; Jean-Pierre Obeid; Wu Liu; Lianli Liu; Nataliya Kovalchuk; Michael Francis Gensheimer; Lucas Kas Vitzthum; Beth M. Beadle; Daniel T. Chang; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

L2B: Learning to Bootstrap Robust Models for Combating Label Noise. - Yuyin Zhou; Xianhang Li; Fengze Liu; Qingyue Wei; Xuxi Chen; Lequan Yu; Cihang Xie; Matthew P. Lungren; Lei Xing 001 (CVPR, 2024)

In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering. - Sheng Liu; Haotian Ye; Lei Xing 001; James Y. Zou (ICML, 2024)

Low-to-High Frequency Progressive K-Space Learning for MRI Reconstruction. - Xiaohan Xing; Liang Qiu; Lequan Yu; Lingting Zhu; Lei Xing 001; Lianli Liu (MLMI@MICCAI (1), 2024)

Automated radiotherapy treatment planning guided by GPT-4Vision. - Sheng Liu; Oscar Pastor-Serrano; Yizheng Chen; Matthew Gopaulchan; Weixing Liang; Mark Buyyounouski; Erqi Pollom; Quynh-Thu Le; Michael Gensheimer 001; Peng Dong; Yong Yang; James Zou 001; et al. (CoRR, 2024)

Large Language Model-Augmented Auto-Delineation of Treatment Target Volume in Radiation Therapy. - Praveenbalaji Rajendran; Yong Yang; Thomas R. Niedermayr; Michael Gensheimer 001; Beth M. Beadle; Quynh-Thu Le; Lei Xing 001; Xianjin Dai (CoRR, 2024)

Discovering distinctive elements of biomedical datasets for high-performance exploration. - Md Tauhidul Islam; Lei Xing 001 (CoRR, 2024)

Reducing Hallucinations in Vision-Language Models via Latent Space Steering. - Sheng Liu; Haotian Ye; Lei Xing 001; James Zou 001 (CoRR, 2024)

ST-NeRP: Spatial-Temporal Neural Representation Learning with Prior Embedding for Patient-specific Imaging Study. - Liang Qiu; Liyue Shen; Lianli Liu; Junyan Liu; Yizheng Chen; Lei Xing 001 (CoRR, 2024)

TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. - Jieneng Chen; Jieru Mei; Xianhang Li; Yongyi Lu; Qihang Yu; Qingyue Wei; Xiangde Luo; Yutong Xie 001; Ehsan Adeli 001; Yan Wang 033; Matthew P. Lungren; Shaoting Zhang 001; et al. (Medical Image Anal., 2024)

Self-supervised deep learning of gene-gene interactions for improved gene expression recovery. - Qingyue Wei; Md Tauhidul Islam; Yuyin Zhou; Lei Xing 001 (Briefings Bioinform., 2024)

NeRP: Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction. - Liyue Shen; John M. Pauly; Lei Xing 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

PolypMixNet: Enhancing semi-supervised polyp segmentation with polyp-aware augmentation. - Xiao Jia 005; Yutian Shen; Jianhong Yang; Ran Song 001; Wei Zhang 021; Max Q.-H. Meng; Joseph C. Liao; Lei Xing 001 (Comput. Biol. Medicine, 2024)

Multibranch CNN With MLP-Mixer-Based Feature Exploration for High-Performance Disease Diagnosis. - Zixia Zhou; Md Tauhidul Islam; Lei Xing 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deciphering the Feature Representation of Deep Neural Networks for High-Performance AI. - Md Tauhidul Islam; Lei Xing 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine. - Yunfei Xie; Ce Zhou; Lang Gao; Juncheng Wu; Xianhang Li; Hong-Yu Zhou; Sheng Liu; Lei Xing 001; James Zou 001; Cihang Xie; Yuyin Zhou (ICLR, 2025)

Modeling focused kV X-ray dose kernels via 3D implicit neural functions for small animal brain radiation. - Liyan Sun; Chenhui Qiu; Weiyuan Sun; Lei Xing 001; Dimitre Hristov; Adam S. Wang; Wu Liu (Biomed. Signal Process. Control., 2025)

Tissue-origin transcriptomic interactions as indicators of inflammatory aging and aging gene discovery. - Wei Emma Wu; Qingyue Wei; Zixia Zhou; Huijun Z. Ring; Md Tauhidul Islam; Lei Xing 001 (Comput. Biol. Medicine, 2025)

Deep-and-Wide Learning: Enhancing Data-Driven Inference via Synergistic Learning of Inter- and Intra-Data Representations. - Md Tauhidul Islam; Lei Xing 001 (CoRR, 2025)

Multi-Sensor Learning Enables Information Transfer Across Different Sensory Data and Augments Multi-Modality Imaging. - Lingting Zhu; Yizheng Chen; Lianli Liu; Lei Xing 001; Lequan Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Fractional Reasoning via Latent Steering Vectors Improves Inference Time Compute. - Sheng Liu; Tianlang Chen; Pan Lu; Haotian Ye; Yizheng Chen; Lei Xing 001; James Zou 001 (CoRR, 2025)