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Shuo Zhou
Publications
- 2024
- [i11]Wenrui Fan, Mohammod Naimul Islam Suvon, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu:
MeDSLIP: Medical Dual-Stream Language-Image Pre-training for Fine-grained Alignment. CoRR abs/2403.10635 (2024) - [i10]Mohammod N. I. Suvon, Prasun C. Tripathi, Wenrui Fan, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu:
Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection. CoRR abs/2403.13658 (2024) - 2023
- [j19]Xianyuan Liu, Shuo Zhou, Tao Lei, Ping Jiang, Zhixiang Chen, Haiping Lu:
First-Person Video Domain Adaptation With Multi-Scene Cross-Site Datasets and Attention-Based Methods. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7774-7788 (2023) - [j18]Mwiza Kunda, Shuo Zhou, Gaolang Gong, Haiping Lu:
Improving Multi-Site Autism Classification via Site-Dependence Minimization and Second-Order Functional Connectivity. IEEE Trans. Medical Imaging 42(1): 55-65 (2023) - [c30]Prasun C. Tripathi, Md. Naimul Islam Suvon, Lawrence Schobs, Shuo Zhou, Samer Alabed, Andrew J. Swift, Haiping Lu:
Tensor-Based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI. MICCAI (7) 2023: 206-215 - [i9]Prasun C. Tripathi, Mohammod Naimul Islam Suvon, Lawrence Schobs, Shuo Zhou, Samer Alabed, Andrew J. Swift, Haiping Lu:
Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI. CoRR abs/2303.07540 (2023) - 2022
- [j16]Liyan Song, Shuo Zhou, Haiping Lu:
Direct ICA on data tensor via random matrix modeling. Signal Process. 196: 108508 (2022) - [c27]Haiping Lu, Xianyuan Liu, Shuo Zhou, Robert Turner, Peizhen Bai, Raivo E. Koot, Mustafa Chasmai, Lawrence Schobs, Hao Xu:
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python. CIKM 2022: 4274-4278 - 2021
- [j12]Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart H. Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jennings Zhang, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung:
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. Medical Image Anal. 70: 101972 (2021) - [c22]Lawrence Schobs, Shuo Zhou, Marcella Cogliano, Andrew J. Swift, Haiping Lu:
Confidence-Quantifying Landmark Localisation For Cardiac MRI. ISBI 2021: 985-988 - [i6]Haiping Lu, Xianyuan Liu, Robert Turner, Peizhen Bai, Raivo E. Koot, Shuo Zhou, Mustafa Chasmai, Lawrence Schobs:
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python. CoRR abs/2106.09756 (2021) - [i4]Xianyuan Liu, Shuo Zhou, Tao Lei, Haiping Lu:
Channel-Temporal Attention for First-Person Video Domain Adaptation. CoRR abs/2108.07846 (2021) - 2020
- [c19]Shuo Zhou, Wenwen Li, Christopher R. Cox, Haiping Lu:
Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments. AAAI 2020: 6957-6964 - [i3]Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung:
Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge. CoRR abs/2006.03611 (2020) - 2019
- [c15]Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu:
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. MLMI@MICCAI 2019: 256-264 - [c14]Shuo Zhou, Christopher R. Cox, Haiping Lu:
Improving Whole-Brain Neural Decoding of fMRI with Domain Adaptation. MLMI@MICCAI 2019: 265-273 - [i2]Shuo Zhou, Wenwen Li, Christopher R. Cox, Haiping Lu:
Domain Independent SVM for Transfer Learning in Brain Decoding. CoRR abs/1903.11020 (2019) - 2018
- [i1]Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu:
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. CoRR abs/1812.01496 (2018)
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