Clay weekly context brief for the Systems category (ISO week 2026-W36).

Clay tracks publications from the Systems feed list. Below are recent items from this category, each with its source and a short description of what the publication covers when one is available in the source feed.

Recent publications:
1. Mixture of Multicenter Experts in Multimodal AI for Debiased Radiotherapy Target Delineation
   Source: eess.IV (Image and Video Processing)
   Link: https://arxiv.org/abs/2410.00046
   Clinical decision-making reflects diverse strategies shaped by regional patient populations and institutional protocols.
2. Lossy Event Compression: From Event Stream Distortion to Task Performance
   Source: eess.IV (Image and Video Processing)
   Link: https://arxiv.org/abs/2608.28429
   Event cameras generate asynchronous, sparse data streams with microsecond temporal resolution, but in moderate-to-high motion scenes they can produce as many as hundreds of millions of events per second, creating significant bandwidth and storage challenges.
3. Ada-TokenCom: Rate-Adaptive Token Communications via Large-Model-Driven Token Compression and Generation
   Source: eess.IV (Image and Video Processing)
   Link: https://arxiv.org/abs/2608.28086
   Token Communications (TokenCom) has recently emerged as a new paradigm in which tokens serve as unified units for communication and computation, enabling efficient multimodal semantic and goal-oriented transmission.
4. CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs
   Source: eess.IV (Image and Video Processing)
   Link: https://arxiv.org/abs/2608.28137
   We present CheXtriev, a graph-based, anatomy-aware framework for chest radiograph retrieval.
5. Do Medical Vision Models Reason About Anatomy? Probing the Spatial Inductive Biases of Learned Visual Representations
   Source: eess.IV (Image and Video Processing)
   Link: https://arxiv.org/abs/2608.28092
   Interpreting a CT scan means comparing structures on either side, judging how far apart organs sit, and knowing where each one belongs.
6. CARDINAL Predicts Cardiovascular Risk From Non-contrast Cardiac CT
   Source: eess.IV (Image and Video Processing)
   Link: https://arxiv.org/abs/2608.27690
   Cardiovascular risk prediction remains limited by incomplete clinical data and imaging biomarkers that reduce computed tomography (CT) to a small number of handcrafted features.

Sources in this brief: eess.IV (Image and Video Processing).
Selected 6 of 6 available items for this weekly brief.