Jikai Zhang

According to our database, Jikai Zhang authored at least 17 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SegmentAnyMuscle: A universal muscle segmentation model across different locations in MRI.

Roy J. Colglazier, Jisoo Lee, Haoyu Dong, Hanxue Gu, Yaqian Chen, Joseph Y. Cao, Zafer Yildiz, Zhonghao Liu, Nicholas Konz, Jichen Yang, Jikai Zhang, Yuwen Chen, Lin Li, Adrian Camarena, Maciej A. Mazurowski

CoRR, June, 2025

SegmentAnyBone: A universal model that segments any bone at any location on MRI.

Hanxue Gu, Roy J. Colglazier, Haoyu Dong, Jikai Zhang, Yaqian Chen, Zafer Yildiz, Yuwen Chen, Lin Li, Jichen Yang, Jay Willhite, Alex M. Meyer, Brian Guo, Yashvi Atul Shah, Emily Luo, Shipra Rajput, Sally Kuehn, Clark Bulleit, Kevin A. Wu, Jisoo Lee, Brandon Ramirez, Darui Lu, Jay M. Levin, Maciej A. Mazurowski

Medical Image Anal., 2025

Intelligent Transportation Target Recognition Based on Multi-Modal Data Fusion in Remote Sensing and UAV Images.

Zhixing Wang, Jikai Zhang, Qiankai Xi, Wentao Zhao, Dongliang Guo

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

Surface Acoustic Wave Sensors for Wireless Temperature Measurements above 1200 Degree Celsius.

Hong Zhang, Danyu Mu, Zichao Zhang, Jikai Zhang, Jiabao Sun, Hao Jin

Sensors, August, 2024

Language Models and Retrieval Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports.

Mohamed Sobhi Jabal, Pranav I. Warman, Jikai Zhang, Kartikeye Gupta, Ayush Jain, Maciej A. Mazurowski, Walter F. Wiggins, Kirti Magudia, Evan Calabrese

CoRR, 2024

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI.

Maria Correia de Verdier, Rachit Saluja, Louis Gagnon, Dominic LaBella, Ujjwal Baid, Nourel Hoda Tahon, Martha Foltyn-Dumitru, Jikai Zhang, Maram Alafif, Saif Baig, Ken Chang, Gennaro D'Anna, Lisa Deptula, Diviya Gupta, Muhammad Ammar Haider, Ali Hussain, Michael Iv, Marinos Kontzialis, Paul Manning, Farzan Moodi, Teresa Nunes, Aaron Simon, Nico Sollmann, David Vu, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Rongrong Chai, Verena Chung, Shahriar Faghani, Keyvan Farahani, Anahita Fathi Kazerooni, Juan Eugenio Iglesias, Florian Kofler, Hongwei Li, Marius George Linguraru, Bjoern H. Menze, Ahmed W. Moawad, Yury Velichko, Benedikt Wiestler, Talissa Altes, Patil Basavasagar, Martin Bendszus, Gianluca Brugnara, Jaeyoung Cho, Yaseen Dhemesh, Brandon K. K. Fields, Filip Garrett, Jaime Gass, Lubomir M. Hadjiiski, Jona A. Hattangadi-Gluth, Christopher Hess, Jessica L. Houk, Edvin Isufi, Lester J. Layfield, George Mastorakos, John Mongan, Pierre Nedelec, Uyen Nguyen, Sebastian Oliva, Matthew W. Pease, Aditya Rastogi, Jason Sinclair, Robert X. Smith, Leo P. Sugrue, Jonathan Thacker, Igor Vidic, Javier E. Villanueva-Meyer, Nathan S. White, Mariam Aboian, Gian Marco Conte, Anders M. Dale, Mert R. Sabuncu, Tyler M. Seibert, Brent Weinberg, Aly H. Abayazeed, Raymond Y. Huang, Sevcan Turk, Andreas M. Rauschecker, Nikdokht Farid, Philipp Vollmuth, Ayman Nada, Spyridon Bakas, Evan Calabrese, Jeffrey D. Rudie

CoRR, 2024

Deep learning automates Cobb angle measurement compared with multi-expert observers.

Keyu Li, Hanxue Gu, Roy J. Colglazier, Robert Lark, Elizabeth Hubbard, Robert French, Denise Smith, Jikai Zhang, Erin McCrum, Anthony Catanzano, Joseph Y. Cao, Leah Waldman, Maciej A. Mazurowski, Benjamin Alman

CoRR, 2024

Transformer-Based Multimodal Spatial-Temporal Fusion for Gait Recognition.

Jikai Zhang, Mengyu Jia, Yihao He, Dongliang Guo

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Predicting 3D forearm fracture angle from biplanar Xray images with rotational bone pose estimation.

Hanxue Gu, Roy J. Colglazier, Jikai Zhang, Robert Lark, Benjamin Alman, Maciej A. Mazurowski

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2023

Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach.

Jikai Zhang, Carlos Santos, Christine Park, Maciej A. Mazurowski, Roy J. Colglazier

J. Digit. Imaging, December, 2023

Multistep Automated Data Labelling Procedure (MADLaP) for thyroid nodules on ultrasound: An artificial intelligence approach for automating image annotation.

Jikai Zhang, Maciej A. Mazurowski, Brian C. Allen, Benjamin Wildman-Tobriner

Artif. Intell. Medicine, 2023

2022

A Displacement Sensing Method Based on Permanent Magnet and Magnetic Flux Measurement.

Jikai Zhang, Yicheng Shi, Yuewen Huang, Cheng Liang, Yantong Dong, Yihua Kang, Bo Feng

Sensors, 2022

Temporal Action Detection Methods Based on Deep Learning.

Junyi Shen, Ma Li, Jikai Zhang

Int. J. Pattern Recognit. Artif. Intell., 2022

Deep Learning for Classification of Thyroid Nodules on Ultrasound: Validation on an Independent Dataset.

Jingxi Weng, Benjamin Wildman-Tobriner, Mateusz Buda, Jichen Yang, Lisa M. Ho, Brian C. Allen, Wendy L. Ehieli, Chad M. Miller, Jikai Zhang, Maciej A. Mazurowski

CoRR, 2022

Automated Grading of Radiographic Knee Osteoarthritis Severity Combined with Joint Space Narrowing.

Hanxue Gu, Keyu Li, Roy J. Colglazier, Jichen Yang, Michael Lebhar, Jonathan O'Donnell, William A. Jiranek, Richard C. Mather, Rob J. French, Nicholas Said, Jikai Zhang, Christine Park, Maciej A. Mazurowski

CoRR, 2022

2020

SLPal: Accelerating Long Sequence Alignment on Many-Core and Multi-Core Architectures.

Xiaoming Xu, Yuandong Chan, Kai Xu, Jikai Zhang, Xiaoning Wang, Zekun Yin, Weiguo Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

BGSA: a bit-parallel global sequence alignment toolkit for multi-core and many-core architectures.

Jikai Zhang, Haidong Lan, Yuandong Chan, Yuan Shang, Bertil Schmidt, Weiguo Liu

Bioinform., 2019