Edwin D. de Jong
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View article: Towards Robust Foundation Models for Digital Pathology
Towards Robust Foundation Models for Digital Pathology Open
Biomedical Foundation Models (FMs) are rapidly transforming AI-enabled healthcare research and entering clinical validation. However, their susceptibility to learning non-biological technical features -- including variations in surgical/en…
View article: Foundation Models in Medical Imaging: A Review and Outlook
Foundation Models in Medical Imaging: A Review and Outlook Open
Foundation models (FMs) are changing the way medical images are analyzed by learning from large collections of unlabeled data. Instead of relying on manually annotated examples, FMs are pre-trained to learn general-purpose visual features …
View article: Current Pathology Foundation Models are unrobust to Medical Center Differences
Current Pathology Foundation Models are unrobust to Medical Center Differences Open
Pathology Foundation Models (FMs) hold great promise for healthcare. Before they can be used in clinical practice, it is essential to ensure they are robust to variations between medical centers. We measure whether pathology FMs focus on b…
View article: Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charité, and Aignostics
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charité, and Aignostics Open
Recent advances in digital pathology have demonstrated the effectiveness of foundation models across diverse applications. In this report, we present Atlas, a novel vision foundation model based on the RudolfV approach. Our model was train…
View article: An Empirical Analysis of Speech Self-Supervised Learning at Multiple Resolutions
An Empirical Analysis of Speech Self-Supervised Learning at Multiple Resolutions Open
Self-supervised learning (SSL) models have become crucial in speech processing, with recent advancements concentrating on developing architectures that capture representations across multiple timescales. The primary goal of these multi-sca…
View article: A Distributed Learning Algorithm for Communication Development
A Distributed Learning Algorithm for Communication Development Open
We study the question of how a local learning algorithm, executed by multiple distributed agents, can lead to a global system of communication. First, the notion of a perfect communication system is defined. Next, two measures of communica…
View article: Leveraging local knowledge for landslide disaster risk reduction in an urban informal settlement in Manado, Indonesia
Leveraging local knowledge for landslide disaster risk reduction in an urban informal settlement in Manado, Indonesia Open
Disaster preparedness and response, including for landslides, increasingly involves local knowledge. Incorporating contextual, dynamic and experience-based local knowledge leads to greater awareness of the interconnectedness of geological,…
View article: Desensitised flood risk perception to extensive disasters in a marginalised urban kampong in Indonesia
Desensitised flood risk perception to extensive disasters in a marginalised urban kampong in Indonesia Open
Contains fulltext : 306216.pdf (Publisher’s version ) (Open Access)
View article: Towards Large-Scale Training of Pathology Foundation Models
Towards Large-Scale Training of Pathology Foundation Models Open
Driven by the recent advances in deep learning methods and, in particular, by the development of modern self-supervised learning algorithms, increased interest and efforts have been devoted to build foundation models (FMs) for medical imag…
View article: Rethinking the interaction between resilience and well-being through place attachment: A case study of flood-prone urban communities in Indonesia
Rethinking the interaction between resilience and well-being through place attachment: A case study of flood-prone urban communities in Indonesia Open
Contains fulltext : 299676.pdf (Publisher’s version ) (Open Access)
View article: Mechanowetting
Mechanowetting Open
Surface tension is a well-known and widespread natural phenomenon. It can be exploited to control how fluids behave on surfaces to generate, for example, self-cleaning surfaces, but it also plays an important role in modern technology, suc…
View article: Regionale Energiestrategieën vergen meer democratie
Regionale Energiestrategieën vergen meer democratie Open
Regional energy strategies require more democracy In the Paris Agreement of 2015, a reduction of 49% CO2 emissions compared to 1990 was agreed. To implement this, the Netherlands has concluded a Climate Agreement, part of which will includ…
View article: Numerical modeling and quantification of droplet mixing using mechanowetting
Numerical modeling and quantification of droplet mixing using mechanowetting Open
Capillary forces are often found in nature to drive fluid flow, and methods have been developed aimed to exploiting these forces in microfluidic systems to move droplets or mix droplet contents. Mixing of small fluid volumes, however, is c…
View article: Report on 2111.13242v1
Report on 2111.13242v1 Open
We investigate quantum dots in semiconductor PbTe nanowire devices.Due to the accessibility of ambipolar transport in PbTe, quantum dots can be occupied both with electrons and holes.Owing to a very large dielectric constant in PbTe of ord…
View article: THE IMPACT OF IEC60076-3 ON SOLID-STATE TRANSFORMER DESIGN
THE IMPACT OF IEC60076-3 ON SOLID-STATE TRANSFORMER DESIGN Open
This paper is an incremental contribution to SST prototype designs and written in the context of SST application in the Dutch electricity grid. The grid is faced with, amongst others, increased penetration of Photo-voltaic (PV) energy sour…
View article: Mechanowetting drives droplet and fluid transport on traveling surface waves generated by light-responsive liquid crystal polymers
Mechanowetting drives droplet and fluid transport on traveling surface waves generated by light-responsive liquid crystal polymers Open
In nature, capillary forces are often driving microfluidic propulsion and droplet manipulation, and technologies have been developed to utilize these forces in applications such as lab-on-a-chip biosensors and microfluidic systems. At the …
View article: Microfluidic slug transport on traveling-wave surface topographies by mechanowetting
Microfluidic slug transport on traveling-wave surface topographies by mechanowetting Open
Nature often uses capillary forces to manipulate fluids, which has inspired scientists to develop new applications, such as in microfluidics and laboratory-on-a-chip systems. Here we present a method to transport fluids in microfluidic cha…
View article: Climbing droplets driven by mechanowetting on transverse waves
Climbing droplets driven by mechanowetting on transverse waves Open
Mechanowetting drives droplets on (vertically) inclined surfaces through dynamic surface deformations.
View article: Pillars or Pancakes? Self-Cleaning Surfaces without Coating
Pillars or Pancakes? Self-Cleaning Surfaces without Coating Open
Surfaces that stay clean when immersed in water are important for an enormous range of applications from ships and buildings to marine, medical, and other equipment. Up until now the main strategy for designing self-cleaning surfaces has b…
View article: GANGs: Generative Adversarial Network Games
GANGs: Generative Adversarial Network Games Open
Generative Adversarial Networks (GAN) have become one of the most successful frameworks for unsupervised generative modeling. As GANs are difficult to train much research has focused on this. However, very little of this research has direc…
View article: Conceptual models for short‐eccentricity‐scale climate control on peat formation in a lower Palaeocene fluvial system, north‐eastern Montana (<scp>USA</scp>)
Conceptual models for short‐eccentricity‐scale climate control on peat formation in a lower Palaeocene fluvial system, north‐eastern Montana (<span>USA</span>) Open
Fluvial systems in which peat formation occurs are typified by autogenic processes such as river meandering, crevasse splaying and channel avulsion. Nevertheless, autogenic processes cannot satisfactorily explain the repetitive nature and …
View article: Incremental Sequence Learning
Incremental Sequence Learning Open
Deep learning research over the past years has shown that by increasing the scope or difficulty of the learning problem over time, increasingly complex learning problems can be addressed. We study incremental learning in the context of seq…