Zobrazeno 1 - 10
of 1 899
pro vyhledávání: '"Verjans A"'
Autor:
Chowdhury, Townim F., Phan, Vu Minh Hieu, Liao, Kewen, To, Minh-Son, Xie, Yutong, Hengel, Anton van den, Verjans, Johan W., Liao, Zhibin
The integration of vision-language models such as CLIP and Concept Bottleneck Models (CBMs) offers a promising approach to explaining deep neural network (DNN) decisions using concepts understandable by humans, addressing the black-box concern of DNN
Externí odkaz:
http://arxiv.org/abs/2408.02001
Autor:
Ruchka, Pavel, Kushwaha, Alok, Marathe, Jessica A., Xiang, Lei, Chen, Rouyan, Kirk, Rodney, Tan, Joanne T. M., Bursill, Christina A., Verjans, Johan, Thiele, Simon, Fitridge, Robert, McLaughlin, Robert A., Psaltis, Peter J., Giessen, Harald, Li, Jiawen
A fundamental challenge in endoscopy is how to fabricate a small fiber-optic probe that can achieve comparable function to probes with large, complicated optics (e.g., high resolution and extended depth of focus). To achieve high resolution over an e
Externí odkaz:
http://arxiv.org/abs/2407.14825
Autor:
Phan, Vu Minh Hieu, Xie, Yutong, Zhang, Bowen, Qi, Yuankai, Liao, Zhibin, Perperidis, Antonios, Phung, Son Lam, Verjans, Johan W., To, Minh-Son
Unpaired medical image synthesis aims to provide complementary information for an accurate clinical diagnostics, and address challenges in obtaining aligned multi-modal medical scans. Transformer-based models excel in imaging translation tasks thanks
Externí odkaz:
http://arxiv.org/abs/2406.18967
Autor:
Chowdhury, Townim Faisal, Liao, Kewen, Phan, Vu Minh Hieu, To, Minh-Son, Xie, Yutong, Hung, Kevin, Ross, David, Hengel, Anton van den, Verjans, Johan W., Liao, Zhibin
Deep Neural Networks (DNNs) are widely used for visual classification tasks, but their complex computation process and black-box nature hinder decision transparency and interpretability. Class activation maps (CAMs) and recent variants provide ways t
Externí odkaz:
http://arxiv.org/abs/2404.02388
Autor:
Phan, Vu Minh Hieu, Xie, Yutong, Qi, Yuankai, Liu, Lingqiao, Liu, Liyang, Zhang, Bowen, Liao, Zhibin, Wu, Qi, To, Minh-Son, Verjans, Johan W.
Publikováno v:
CVPR2024
Medical vision language pre-training (VLP) has emerged as a frontier of research, enabling zero-shot pathological recognition by comparing the query image with the textual descriptions for each disease. Due to the complex semantics of biomedical text
Externí odkaz:
http://arxiv.org/abs/2403.07636
Autor:
Zhang, Zeyu, Qi, Xuyin, Zhang, Bowen, Wu, Biao, Le, Hien, Jeong, Bora, Liao, Zhibin, Liu, Yunxiang, Verjans, Johan, To, Minh-Son, Hartley, Richard
Organ at risk (OAR) segmentation is a critical process in radiotherapy treatment planning such as head and neck tumors. Nevertheless, in clinical practice, radiation oncologists predominantly perform OAR segmentations manually on CT scans. This manua
Externí odkaz:
http://arxiv.org/abs/2311.06956
Publikováno v:
MICCAI 2023
Medical image synthesis is a challenging task due to the scarcity of paired data. Several methods have applied CycleGAN to leverage unpaired data, but they often generate inaccurate mappings that shift the anatomy. This problem is further exacerbated
Externí odkaz:
http://arxiv.org/abs/2307.16143
Delivering meaningful uncertainty estimates is essential for a successful deployment of machine learning models in the clinical practice. A central aspect of uncertainty quantification is the ability of a model to return predictions that are well-ali
Externí odkaz:
http://arxiv.org/abs/2303.01099
Autor:
Eleanor M. Marshall, Ahmad S. Rashidi, Michiel van Gent, Barry Rockx, Georges M. G. M. Verjans
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Usutu (USUV), West Nile (WNV), and Zika virus (ZIKV) are neurotropic arthropod-borne viruses (arboviruses) that cause severe neurological disease in humans. However, USUV-associated neurological disease is rare, suggesting a block in entry t
Externí odkaz:
https://doaj.org/article/72346cc4c62d4b7f9634f94acb82a69a
Publikováno v:
The Cryosphere, Vol 18, Pp 2613-2623 (2024)
Most climatic and glaciological processes exhibit internal variability, which is omitted from many ice sheet model simulations. Prior studies have found that climatic variability can change ice sheet sensitivity to the long-term mean and trend in cli
Externí odkaz:
https://doaj.org/article/23790fec0b864b0ab310a1adf5231e13