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publications
Short time cardio-vascular pulses estimation for dengue fever screening via continuous-wave Doppler radar using empirical mode decomposition and continuous wavelet transform
Published in Biomedical Signal Processing and Control, 2021
Radar-based non-contact estimation of cardiovascular pulses for dengue fever screening using EMD and CWT.
Recommended citation: Nguyen Dinh Chinh, Luu Manh Ha, Guanghao Sun, Le Quoc Anh, Pham Viet Huong, Tran Anh Vu, Tran Trong Hieu, Tran Duc Tan, Nguyen Vu Trung, Koichiro Ishibashi, Nguyen Linh Trung, et al. "Short time cardio-vascular pulses estimation for dengue fever screening via continuous-wave Doppler radar using empirical mode decomposition and continuous wavelet transform." Biomedical Signal Processing and Control, 65:102361, 2021.
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Efficient type and polarity classification of chromosome images using CNNs: a primary evaluation on multiple datasets
Published in 2022 IEEE Ninth International Conference on Communications and Electronics (ICCE), 2022
EfficientNet-based CNN architecture for chromosome type and polarity classification with a weighted loss function.
Recommended citation: Le Quoc Anh, Vu Duy Thanh, Nguyen Huu Hoang Son, Doan Thi Kim Phuong, Luong Thi Lan Anh, Nguyen Thanh Binh Minh, Tran Hoang Tung, Nguyen Hong Thinh, Luu Manh Ha, et al. "Efficient type and polarity classification of chromosome images using CNNs: a primary evaluation on multiple datasets." In 2022 IEEE Ninth International Conference on Communications and Electronics (ICCE), pages 400–405. IEEE, 2022.
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Multi-resolution coarse-to-fine registration approach for liver computed tomography image analysis
Published in 2022 26th International Computer Science and Engineering Conference (ICSEC), 2022
A multi-resolution coarse-to-fine registration framework for liver CT image analysis.
Recommended citation: Pham Xuan Loc, Le Quoc Anh, Chu Duc Trinh, and Luu Manh Ha. "Multi-resolution coarse-to-fine registration approach for liver computed tomography image analysis." In 2022 26th International Computer Science and Engineering Conference (ICSEC), pages 307–312. IEEE, 2022.
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Needle localization and segmentation for radiofrequency ablation of liver tumors under CT image guidance
Published in 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2022
Automatic needle detection and segmentation in CT images for radiofrequency ablation guidance using YOLOv4 and 3D patch-based CNN.
Recommended citation: Le Quoc Anh, Luu Manh Ha, Theo Van Walsum, Adriaan Moelker, Dao Viet Hang, Pham Cam Phuong, Vu Duy Thanh, et al. "Needle localization and segmentation for radiofrequency ablation of liver tumors under CT image guidance." In 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pages 2015–2021. IEEE, 2022.
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Quantification of liver-lung shunt fraction on 3D SPECT/CT images for selective internal radiation therapy of liver cancer using CNN-based segmentations and non-rigid registration
Published in Computer Methods and Programs in Biomedicine, 2023
Automatic quantification of liver-lung shunt fraction in SPECT/CT images using 3D nn-UNet and non-rigid registration for selective internal radiation therapy planning.
Recommended citation: Manh Ha Luu, Hong Son Mai, Xuan Loc Pham, Le Quoc Anh, Quoc Khanh Le, Theo Van Walsum, Ngoc Ha Le, Daniel Franklin, Vu Ha Le, Adriaan Moelker, et al. "Quantification of liver-Lung shunt fraction on 3D SPECT/CT images for selective internal radiation therapy of liver cancer using CNN-based segmentations and non-rigid registration." Computer Methods and Programs in Biomedicine, 233:107453, 2023.
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Precise ablation zone segmentation on CT images after liver cancer ablation using semi-automatic CNN-based segmentation
Published in Medical Physics, 2024
A semi-automatic method combining 3D nn-UNet and RITM interactive segmentation for precise liver ablation zone segmentation on CT images, achieving state-of-the-art performance.
Recommended citation: Le Quoc Anh, Xuan Loc Pham, Theo van Walsum, Viet Hang Dao, Tuan Linh Le, Daniel Franklin, Adriaan Moelker, Vu Ha Le, Nguyen Linh Trung, and Manh Ha Luu. "Precise ablation zone segmentation on CT images after liver cancer ablation using semi-automatic CNN-based segmentation." Medical Physics, 51(12):8882–8899, 2024.
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The Privacy–Utility Trade-off in Brain MRI Synthesis: A Comparative Framework for Generative Models
Published in 14th International Symposium on Information and Communication Technology (SOICT), 2025
A comparative framework evaluating the privacy-utility trade-off of generative models for brain MRI synthesis.
Recommended citation: Dam Thai Ninh, Nguyen Duc Kien, Trinh Ngoc Huynh, Le Quoc Anh, Dinh Tran Hiep, Bui Duc Manh, Miguel D'Haeseleer, Jeroen Van Schependom, Tran Quoc Long, Nguyen Linh Trung, and Guy Nagels. "The Privacy–Utility Trade-off in Brain MRI Synthesis: A Comparative Framework for Generative Models." In 14th International Symposium on Information and Communication Technology (SOICT), 2025.
Fisher information-based metrics for representation learning
Published in 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2025
Fisher information-based metrics for improving representation learning in deep neural networks.
Recommended citation: Do Nguyen Dang Thi, Le Quoc Anh, Tran Trong Duy, Le Vu Ha, and Nguyen Linh Trung. "Fisher information-based metrics for representation learning." In 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pages 1556–1561, 2025.
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talks
Efficient type and polarity classification of chromosome images using CNNs
Published:
Presented an EfficientNet-based CNN architecture for chromosome type and polarity classification. The method introduces a weighted classification loss function and achieves comparable accuracy with significantly fewer parameters than state-of-the-art methods.
Needle localization and segmentation for radiofrequency ablation of liver tumors under CT image guidance
Published:
Presented our work on automatic needle detection and segmentation in CT images for radiofrequency ablation (RFA) guidance. The proposed method combines YOLOv4 for needle detection in 2D projections with a patch-based 3D CNN for precise segmentation within the constructed volume of interest.
New approach for Alzheimer’s disease classification using topographic maps and deep learning model
Published:
Presented a novel approach for Alzheimer’s disease classification using EEG topographic maps as input to deep learning models. The method captures the spatial distribution of brainwave power across different brain regions and shows improved classification performance over traditional hand-crafted feature methods.
teaching
Lecturer
Undergraduate courses, VNU University of Engineering and Technology, Faculty of Electronics and Telecommunications, 2020
Lecturing undergraduate courses at VNU University of Engineering and Technology since August 2020.