Zobrazeno 1 - 10
of 2 249
pro vyhledávání: '"Noble, J A"'
Autor:
Rocha, W. R. M., McClure, M. K., Sturm, J. A., Beck, T. L., Smith, Z. L., Dickinson, H., Sun, F., Egami, E., Boogert, A. C. A., Fraser, H. J., Dartois, E., Jimenez-Serra, I., Noble, J. A., Bergner, J., Caselli, P., Charnley, S. B., Chiar, J., Chu, L., Cooke, I., Crouzet, N., van Dishoeck, E. F., Drozdovskaya, M. N., Garrod, R., Harsono, D., Ioppolo, S., Jin, M., Jorgensen, J. K., Lamberts, T., Lis, D. C., Melnick, G. J., McGuire, B. A., Oberg, K. I., Palumbo, M. E., Pendleton, Y. J., Perotti, G., Qasim, D., Shope, B., Urso, R. G., Viti, S., Linnartz, H.
This work focuses on the ice features toward the binary protostellar system Ced 110 IRS 4A and 4B, and observed with JWST as part of the Early Release Science Ice Age collaboration. We aim to explore the JWST observations of the binary protostellar s
Externí odkaz:
http://arxiv.org/abs/2411.19651
Autor:
Saha, Pramit, Wagner, Felix, Mishra, Divyanshu, Peng, Can, Thakur, Anshul, Clifton, David, Kamnitsas, Konstantinos, Noble, J. Alison
Effective training of large Vision-Language Models (VLMs) on resource-constrained client devices in Federated Learning (FL) requires the usage of parameter-efficient fine-tuning (PEFT) strategies. To this end, we demonstrate the impact of two factors
Externí odkaz:
http://arxiv.org/abs/2411.11912
3D pose estimation from a 2D cross-sectional view enables healthcare professionals to navigate through the 3D space, and such techniques initiate automatic guidance in many image-guided radiology applications. In this work, we investigate how estimat
Externí odkaz:
http://arxiv.org/abs/2408.09931
Concept-based interpretability methods are a popular form of explanation for deep learning models which provide explanations in the form of high-level human interpretable concepts. These methods typically find concept activation vectors (CAVs) using
Externí odkaz:
http://arxiv.org/abs/2408.08652
We present the first automated multimodal summary generation system, MMSummary, for medical imaging video, particularly with a focus on fetal ultrasound analysis. Imitating the examination process performed by a human sonographer, MMSummary is design
Externí odkaz:
http://arxiv.org/abs/2408.03761
Autor:
Sturm, J. A., McClure, M. K., Harsono, D., Bergner, J. B., Dartois, E., Boogert, A. C. A., Cordiner, M. A., Drozdovskaya, M. N., Ioppolo, S., Law, C. J., Lis, D. C., McGuire, B. A., Melnick, G. J., Noble, J. A., Öberg, K. I., Palumbo, M. E., Pendleton, Y. J., Perotti, G., Rocha, W. R. M., Urso, R. G., van Dishoeck, E. F.
Publikováno v:
A&A 689, A92 (2024)
Ice-coated dust grains provide the main reservoir of volatiles that play an important role in planet formation processes and may become incorporated into planetary atmospheres. However, due to observational challenges, the ice abundance distribution
Externí odkaz:
http://arxiv.org/abs/2407.09627
Autor:
Wagner, Felix, Xu, Wentian, Saha, Pramit, Liang, Ziyun, Whitehouse, Daniel, Menon, David, Newcombe, Virginia, Voets, Natalie, Noble, J. Alison, Kamnitsas, Konstantinos
Segmentation models for brain lesions in MRI are typically developed for a specific disease and trained on data with a predefined set of MRI modalities. Such models cannot segment the disease using data with a different set of MRI modalities, nor can
Externí odkaz:
http://arxiv.org/abs/2406.11636
Unsupervised anomaly segmentation approaches to pathology segmentation train a model on images of healthy subjects, that they define as the 'normal' data distribution. At inference, they aim to segment any pathologies in new images as 'anomalies', as
Externí odkaz:
http://arxiv.org/abs/2406.02422
Recent interpretability methods propose using concept-based explanations to translate the internal representations of deep learning models into a language that humans are familiar with: concepts. This requires understanding which concepts are present
Externí odkaz:
http://arxiv.org/abs/2404.03713
Autor:
Arulanantham, Nicole, McClure, M. K., Pontoppidan, Klaus, Beck, Tracy L., Sturm, J. A., Harsono, D., Boogert, A. C. A., Cordiner, M., Dartois, E., Drozdovskaya, M. N., Espaillat, C., Melnick, G. J., Noble, J. A., Palumbo, M. E., Pendleton, Y. J., Terada, H., van Dishoeck, E. F.
We present JWST MIRI MRS observations of the edge-on protoplanetary disk around the young sub-solar mass star Tau 042021, acquired as part of the Cycle 1 GO program "Mapping Inclined Disk Astrochemical Signatures (MIDAS)." These data resolve the mid-
Externí odkaz:
http://arxiv.org/abs/2402.12256