Zobrazeno 1 - 10
of 2 262
pro vyhledávání: '"Pouly, A"'
Autor:
Gröger, Fabian, Gottfrois, Philippe, Amruthalingam, Ludovic, Gonzalez-Jimenez, Alvaro, Lionetti, Simone, Soenksen-Martinez, Luis R., Navarini, Alexander A., Pouly, Marc
The growing demand for accurate and equitable AI models in digital dermatology faces a significant challenge: the lack of diverse, high-quality labeled data. In this work, we investigate the potential of domain-specific foundation models for dermatol
Externí odkaz:
http://arxiv.org/abs/2411.05514
Autor:
Gottfrois, Philippe, Gröger, Fabian, Andriambololoniaina, Faly Herizo, Amruthalingam, Ludovic, Gonzalez-Jimenez, Alvaro, Hsu, Christophe, Kessy, Agnes, Lionetti, Simone, Mavura, Daudi, Ng'ambi, Wingston, Ngongonda, Dingase Faith, Pouly, Marc, Rakotoarisaona, Mendrika Fifaliana, Rabenja, Fahafahantsoa Rapelanoro, Traoré, Ibrahima, Navarini, Alexander A.
Publikováno v:
Medical Image Computing and Computer Assisted Intervention -- MICCAI 2024, MICCAI 2024, Lecture Notes in Computer Science, vol. 15003, Springer, Cham
Africa faces a huge shortage of dermatologists, with less than one per million people. This is in stark contrast to the high demand for dermatologic care, with 80% of the paediatric population suffering from largely untreated skin conditions. The int
Externí odkaz:
http://arxiv.org/abs/2411.04584
This paper introduces a generic framework that provides sufficient conditions for guaranteeing polynomial-time decidability of fixed-negation fragments of first-order theories that adhere to certain fixed-parameter tractability requirements. It enabl
Externí odkaz:
http://arxiv.org/abs/2407.18420
Autor:
Gonzalez-Jimenez, Alvaro, Lionetti, Simone, Bazazian, Dena, Gottfrois, Philippe, Gröger, Fabian, Pouly, Marc, Navarini, Alexander
Out-Of-Distribution (OOD) detection is critical to deploy deep learning models in safety-critical applications. However, the inherent hierarchical concept structure of visual data, which is instrumental to OOD detection, is often poorly captured by c
Externí odkaz:
http://arxiv.org/abs/2403.15260
Autor:
der Brück, Tim vor, Pouly, Marc
Publikováno v:
IARIA Congress Proceedings, 2023
Due to their ease of use and high accuracy, Word2Vec (W2V) word embeddings enjoy great success in the semantic representation of words, sentences, and whole documents as well as for semantic similarity estimation. However, they have the shortcoming t
Externí odkaz:
http://arxiv.org/abs/2401.04422
Autor:
Gröger, Fabian, Lionetti, Simone, Gottfrois, Philippe, Gonzalez-Jimenez, Alvaro, Groh, Matthew, Daneshjou, Roxana, Consortium, Labelling, Navarini, Alexander A., Pouly, Marc
Publikováno v:
Proceedings of the 3rd Machine Learning for Health Symposium, PMLR 225:101-128, 2023
Benchmark datasets for digital dermatology unwittingly contain inaccuracies that reduce trust in model performance estimates. We propose a resource-efficient data-cleaning protocol to identify issues that escaped previous curation. The protocol lever
Externí odkaz:
http://arxiv.org/abs/2309.06961
Publikováno v:
Gr\"oger, Fabian; Pouly, Marc; Tinner, Flavia & Brandes, Leif (2022). Assessing Guest Nationality Composition from Hotel Reviews. Proceedings of the 9th Swiss Data Science Conference, 1
Many hotels target guest acquisition efforts to specific markets in order to best anticipate individual preferences and needs of their guests. Likewise, such strategic positioning is a prerequisite for efficient marketing budget allocation. Official
Externí odkaz:
http://arxiv.org/abs/2308.06175
Autor:
Gonzalez-Jimenez, Alvaro, Lionetti, Simone, Gottfrois, Philippe, Gröger, Fabian, Pouly, Marc, Navarini, Alexander
This paper presents a new robust loss function, the T-Loss, for medical image segmentation. The proposed loss is based on the negative log-likelihood of the Student-t distribution and can effectively handle outliers in the data by controlling its sen
Externí odkaz:
http://arxiv.org/abs/2306.00753
Autor:
Gröger, Fabian, Lionetti, Simone, Gottfrois, Philippe, Gonzalez-Jimenez, Alvaro, Amruthalingam, Ludovic, Consortium, Labelling, Groh, Matthew, Navarini, Alexander A., Pouly, Marc
Benchmark datasets in computer vision often contain off-topic images, near duplicates, and label errors, leading to inaccurate estimates of model performance. In this paper, we revisit the task of data cleaning and formalize it as either a ranking pr
Externí odkaz:
http://arxiv.org/abs/2305.17048
Autor:
Zachary J. Waldrip, Baku Acharya, Daniel Armstrong, Maha Hanafi, Randall R. Rainwater, Sharon Amole, Madeline Fulmer, Ana Clara Azevedo-Pouly, Alaina Burns, Lyle Burdine, Brendan Frett, Marie Schluterman Burdine
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract DNA-dependent protein kinase catalytic subunit (DNA-PKcs) plays a vital role in DNA damage repair and lymphocyte function, presenting a significant target in cancer and immune diseases. Current DNA-PKcs inhibitors are undergoing Phase I/II t
Externí odkaz:
https://doaj.org/article/b870b333c6794adaa74c1377d301427d
