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DFMA-ICH: a deformable mixed-attention model for intracranial hemorrhage lesion segmentation based on deep supervision.

H. Xiao, X. Shi, Q. Xia, L. Chen, D. Chen, Y. Li, L. Li, Q. Liu, and H. Zhao. Neural Comput. Appl., 36 (15): 8657-8679 (May 2024)

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Liu Liu

Keetsin Liu

Ching Liu

Other publications of authors with the same name

A Low-Power Digitizer for Back-Illuminated 3-D-Stacked CMOS Image Sensor Readout With Passing Window and Double Auto-Zeroing Techniques.Q. Liu, A. Edward, M. Kinyua, E. Soenen, and J. Silva-Martínez. IEEE J. Solid State Circuits, 52 (6): 1591-1604 (2017)A 13bit 200MS/S pipeline ADC with current-mode MDACs.C. Briseno-Vidrios, D. Zhou, S. Prakash, Q. Liu, A. Edward, and J. Silva-Martínez. ISCAS, page 1-4. IEEE, (2017)DFMA-ICH: a deformable mixed-attention model for intracranial hemorrhage lesion segmentation based on deep supervision.H. Xiao, X. Shi, Q. Xia, L. Chen, D. Chen, Y. Li, L. Li, Q. Liu, and H. Zhao. Neural Comput. Appl., 36 (15): 8657-8679 (May 2024)A 44-fJ/Conversion Step 200-MS/s Pipeline ADC Employing Current-Mode MDACs.C. Briseno-Vidrios, D. Zhou, S. Prakash, Q. Liu, A. Edward, E. Soenen, M. Kinyua, and J. Silva-Martínez. IEEE J. Solid State Circuits, 53 (11): 3280-3292 (2018)Joint task offloading and resource allocation for secure OFDMA-based mobile edge computing systems.Y. Huo, Q. Liu, Q. Gao, Y. Wu, and T. Jing. Ad Hoc Networks, (February 2024)A 2×20W 0.0013% THD+N Class-D audio amplifier with consistent performance up to maximum power level.E. Cope, J. Aschieri, T. Lai, F. Zhao, W. Grandfield, M. Clifford, P. Rathfelder, Q. Liu, S. Kavilipati, A. Vandergriff and 1 other author(s). ISSCC, page 56-58. IEEE, (2018)Left-turn vehicles crossing behavior prediction and modeling at mixed traffic flow intersection.Q. Liu, Z. Wang, and J. Sun. ICSAI, page 862-868. IEEE, (2017)High-Resolution Self-attention with Fair Loss for Point Cloud Segmentation.Q. Liu, J. Lu, Q. Li, and B. Huang. ICONIP (5), volume 14451 of Lecture Notes in Computer Science, page 344-356. Springer, (2023)Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions.Q. Liu, Q. Zhou, R. Yang, and J. Wang. AAAI, page 8843-8851. AAAI Press, (2023)Crowd counting in complex scenes based on an attention aware CNN network.Z. Li, S. Lu, L. Lan, and Q. Liu. J. Vis. Commun. Image Represent., (2022)

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Disambiguation of "Liu, Qiyuan"

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DFMA-ICH: a deformable mixed-attention model for intracranial hemorrhage lesion segmentation based on deep supervision.

Please choose a person to relate this publication to

Liu Liu

Liu Liu

Liu Liu

Keetsin Liu

Ching Liu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Liu, Qiyuan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML DFMA-ICH: a deformable mixed-attention model for intracranial hemorrhage lesion segmentation based on deep supervision.

Please choose a person to relate this publication to

Liu Liu

Liu Liu

Liu Liu

Keetsin Liu

Ching Liu

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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DFMA-ICH: a deformable mixed-attention model for intracranial hemorrhage lesion segmentation based on deep supervision.