- Centre National de la Recherche ScientifiqueFR550 papers
- European Organization for Nuclear ResearchCH528 papers
- University College LondonGB519 papers
- University of CambridgeGB423 papers
- University of OxfordGB419 papers
- The University of TokyoJP352 papers
- Imperial College LondonGB340 papers
- Sorbonne UniversitéFR332 papers
- University of SheffieldGB328 papers
- Université Paris-SaclayFR326 papers
- Sapienza University of RomeIT321 papers
- University of GlasgowGB318 papers
4,754 papers
MoEDAL-MAPP: the first dedicated search experiment at the LHC
John R. Ellis, Nick E. Mavromatos, Vasiliki A. Mitsou +1
This special issue brings together a collection of original research articles and review papers addressing topics directly related to the MoEDAL-MAPP experiment at the Large Hadron…
Spatial Feature-wise Linear Modulation (SpFiLM) for Contrast Agent-Aware Brain Parcellation
Pushpendra Singh, Joshua R. Astley, Roman Rodionov +3
Most automated brain parcellation tools are developed and validated on T1-weighted (T1w) MRI. Yet, some clinical workflows for which parcellation is relevant only use contrast-enha…
Philosophical vertigo with artificial intelligence
Thomas A. Pollak, Hamilton Morrin, Murray Shanahan
Large language models are already adept at engaging users in long, emotionally salient conversations across ordinary and existential domains. They are also capable of inducing a po…
Text Indexing: From Reporting to Counting
Ben Bals, Panagiotis Charalampopoulos, Oded Lachish +2
We prove an elementary yet powerful combinatorial lemma: in any rooted tree with leaves, the number of nodes whose depth is smaller than the number of their leaf descendants is…
Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment
Zohra Souei, Muhammad Mushhood Ur Rehman, Harith Akram +14
Artificial intelligence (AI) is increasingly explored across deep brain stimulation (DBS) for movement disorders, yet whether current systems are approaching deployment remains unc…
Streamlining stereo differentiable rendering for marker-free real-time tracking of surgical robots
Yanghe Hao, Martin Huber, Christos Bergeles +1
Purpose: Marker-based tracking of surgical robots is occlusion-prone in cluttered operating rooms. We evaluate stereo differentiable rendering for marker-free, real-time robot pose…