Ching-Wei Wang
Orcid: 0000-0001-9992-6863
According to our database1,
Ching-Wei Wang
authored at least 48 papers
between 2006 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Neural Comput. Appl., June, 2025
IEEE J. Biomed. Health Informatics, January, 2025
Interpretable multi-scale deep learning to detect malignancy in cell blocks and cytological smears of pleural effusion and identify aggressive endometrial cancer.
Medical Image Anal., 2025
Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancer.
Medical Image Anal., 2025
ATEC23 Challenge: Automated prediction of treatment effectiveness in ovarian cancer using histopathological images.
Medical Image Anal., 2025
Interpretable multi-stage attention network to predict cancer subtype, microsatellite instability, TP53 mutation and TMB of endometrial and colorectal cancer.
Comput. Medical Imaging Graph., 2025
Deep learning to identify aggressive endometrial cancer and predict tumor mutational burden from histopathology slide.
Biomed. Signal Process. Control., 2025
Transformer Deep Learning to Detect Microsatellite Instability Using Histopathological Slides to Guide Colorectal and Endometrial Cancer Immunotherapy.
Proceedings of the Pattern Recognition and Computer Vision, 2025
2024
Deep learning to assess microsatellite instability directly from histopathological whole slide images in endometrial cancer.
npj Digit. Medicine, 2024
Deep Learning Techniques for Automatic Lateral X-ray Cephalometric Landmark Detection: Is the Problem Solved?
CoRR, 2024
2023
Weakly supervised bilayer convolutional network in segmentation of HER2 related cells to guide HER2 targeted therapies.
Comput. Medical Imaging Graph., September, 2023
Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations.
Comput. Medical Imaging Graph., 2023
Detection of ERBB2 and CEN17 signals in fluorescent in situ hybridization and dual in situ hybridization for guiding breast cancer HER2 target therapy.
Artif. Intell. Medicine, 2023
2022
IEEE Trans. Medical Imaging, 2022
Deep learning for bone marrow cell detection and classification on whole-slide images.
Medical Image Anal., 2022
Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images.
Comput. Medical Imaging Graph., 2022
2021
Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images - The ACDC@LungHP Challenge 2019.
IEEE J. Biomed. Health Informatics, 2021
Medical Biol. Eng. Comput., 2021
2020
Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images - the ACDC@LungHP Challenge 2019.
CoRR, 2020
2018
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions.
CoRR, 2018
A benchmark for comparing precision medicine methods in thyroid cancer diagnosis using tissue microarrays.
Bioinform., 2018
2017
2016
Medical Image Anal., 2016
2015
Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge.
IEEE Trans. Medical Imaging, 2015
Assessment of algorithms for mitosis detection in breast cancer histopathology images.
Medical Image Anal., 2015
Medical Image Anal., 2015
Stroke Lesion Segmentation of 3D Brain MRI Using Multiple Random Forests and 3D Registration.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015
2014
Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge.
IEEE Trans. Medical Imaging, 2014
Unconstrained Video Monitoring of Breathing Behavior and Application to Diagnosis of Sleep Apnea.
IEEE Trans. Biomed. Eng., 2014
Int. J. Humanit. Arts Comput., 2014
Standardized evaluation methodology and reference database for evaluating IVUS image segmentation.
Comput. Medical Imaging Graph., 2014
2013
Automated morphological classification of lung cancer subtypes using H&E tissue images.
Mach. Vis. Appl., 2013
Improved image alignment method in application to X-ray images and biological images.
Bioinform., 2013
2012
BMC Bioinform., 2012
2011
Int. J. Comput. Vis., 2011
Automatic Morphological Classification of Lung Cancer Subtypes with Boosting Algorithms for Optimizing Therapy.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
2010
Comput. Medical Imaging Graph., 2010
A Bayesian Learning Application to Automated Tumour Segmentation for Tissue Microarray Analysis.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010
2008
Proceedings of the CSTST 2008: Proceedings of the 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, 2008
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008
2007
Locating the Upper Body of Covered Humans in application to Diagnosis of Obstructive Sleep Apnea.
Proceedings of the World Congress on Engineering, 2007
2006
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006
Vision Analysis in Detecting Abnormal Breathing Activity in application to Diagnosis of Obstructive Sleep Apnoea.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
New Ensemble Machine Learning Method for Classification and Prediction on Gene Expression Data.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006