Bo Zhou
Orcid: 0000-0002-2906-0897Affiliations:
- Yale University, School of Engineering and Applied Science, New Haven, CT, USA
- Carnegie Mellon University, School of Computer Science, Robotics Institute, Pittsburgh, PA, USA
- Case Western Reserve University, Department of Biomedical Engineering, Cleveland, OH, USA
According to our database1,
Bo Zhou
authored at least 53 papers
between 2016 and 2024.
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Bibliography
2024
TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction.
CoRR, 2024
POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation.
CoRR, 2024
Dual-Domain Coarse-to-Fine Progressive Estimation Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECT.
CoRR, 2024
2023
MCP-Net: Introducing Patlak Loss Optimization to Whole-Body Dynamic PET Inter-Frame Motion Correction.
IEEE Trans. Medical Imaging, December, 2023
FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising.
Medical Image Anal., December, 2023
DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT.
Medical Image Anal., August, 2023
Segmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network.
IEEE Trans. Medical Imaging, May, 2023
Joint Denoising and Few-angle Reconstruction for Low-dose Cardiac SPECT Using a Dual-domain Iterative Network with Adaptive Data Consistency.
CoRR, 2023
Cross-domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Low-dose Cardiac SPECT.
CoRR, 2023
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising.
CoRR, 2023
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
CoRR, 2023
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Cross-Domain Iterative Network for Simultaneous Denoising, Limited-Angle Reconstruction, and Attenuation Correction of Cardiac SPECT.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Transformer-Based Dual-Domain Network for Few-View Dedicated Cardiac SPECT Image Reconstructions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
TAI-GAN: Temporally and Anatomically Informed GAN for Early-to-Late Frame Conversion in Dynamic Cardiac PET Motion Correction.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2023
Dual-Domain Iterative Network with Adaptive Data Consistency for Joint Denoising and Few-Angle Reconstruction of Low-Dose Cardiac SPECT.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023
Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT.
Proceedings of the Information Processing in Medical Imaging, 2023
Fast-MC-PET: A Novel Deep Learning-Aided Motion Correction and Reconstruction Framework for Accelerated PET.
Proceedings of the Information Processing in Medical Imaging, 2023
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
DuDoUFNet: Dual-Domain Under-to-Fully-Complete Progressive Restoration Network for Simultaneous Metal Artifact Reduction and Low-Dose CT Reconstruction.
IEEE Trans. Medical Imaging, 2022
Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction.
Medical Image Anal., 2022
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography.
Medical Image Anal., 2022
Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural network.
Medical Image Anal., 2022
Structure Detection in Three-Dimensional Cellular Cryoelectron Tomograms by Reconstructing Two-Dimensional Annotated Tilt Series.
J. Comput. Biol., 2022
MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer.
IEEE Trans. Medical Imaging, 2021
MDPET: A Unified Motion Correction and Denoising Adversarial Network for Low-Dose Gated PET.
IEEE Trans. Medical Imaging, 2021
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration.
Medical Image Anal., 2021
Synthesizing Multi-tracer PET Images for Alzheimer's Disease Patients Using a 3D Unified Anatomy-Aware Cyclic Adversarial Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation Without Ground-Truth.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms.
PLoS Comput. Biol., 2020
Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency.
CoRR, 2020
Simultaneous Denoising and Motion Estimation for Low-Dose Gated PET Using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
A Deep Learning-Facilitated Radiomics Solution for the Prediction of Lung Lesion Shrinkage in Non-Small Cell Lung Cancer Trials.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN.
BMC Bioinform., 2019
A Progressively-Trained Scale-Invariant and Boundary-Aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Limited Angle Tomography Reconstruction: Synthetic Reconstruction via Unsupervised Sinogram Adaptation.
Proceedings of the Information Processing in Medical Imaging, 2019
Semi-supervised Macromolecule Structural Classification in Cellular Electron Cryo-Tomograms using 3D Autoencoding Classifier.
Proceedings of the 30th British Machine Vision Conference 2019, 2019
Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss.
Proceedings of the 30th British Machine Vision Conference 2019, 2019
2018
A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities.
CoRR, 2018
CoRR, 2018
Enhanced coronary calcium visualization and detection from dual energy chest x-rays with sliding organ registration.
Comput. Medical Imaging Graph., 2018
Visualization of coronary artery calcium in dual energy chest radiography using automatic rib suppression.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Model Compression for Faster Structural Separation of Macromolecules Captured by Cellular Electron Cryo-Tomography.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Generation of Virtual Dual Energy Images from Standard Single-Shot Radiographs Using Multi-scale and Conditional Adversarial Network.
Proceedings of the Computer Vision - ACCV 2018, 2018
2016
Coronary calcium visualization using dual energy chest radiography with sliding organ registration.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Microscopic validation of whole mouse micro-metastatic tumor imaging agents using cryo-imaging and sliding organ image registration.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016