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ENTITY Soroosh Tayebi Arasteh

Soroosh Tayebi Arasteh

PulseAugur coverage of Soroosh Tayebi Arasteh — every cluster mentioning Soroosh Tayebi Arasteh across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 5 TOTAL
  1. TOOL · CL_165176 ·

    Pretraining domain crucial for private medical image AI, study finds

    A new study published on arXiv investigates the impact of pretraining data on the privacy-utility trade-off in medical image analysis models. Researchers found that the domain of the pretraining data, specifically using…

  2. TOOL · CL_158610 ·

    Self-supervision, not clinical data, drives medical AI model convergence

    A new study published on arXiv investigates the convergence of representations in medical foundation models. Researchers found that self-supervised learning objectives drive this convergence more significantly than clin…

  3. TOOL · CL_156339 ·

    New CANDOR measure reveals weaknesses in frozen AI encoders

    Researchers have developed CANDOR, a new discordance measure designed to more accurately assess the capabilities of frozen foundation encoders. Unlike previous methods, CANDOR uses symmetric, equal-sized banks to fix it…

  4. RESEARCH · CL_117103 ·

    LLMs retain clinical evidence strength signals internally but fail to express them

    A new study reveals that large language models (LLMs) can internally represent the strength of clinical evidence, even when they fail to express this confidence in their stated grades. Researchers found that a linear es…

  5. RESEARCH · CL_95864 ·

    New research enhances vision-language models for medical, retrieval, and robotics tasks

    Researchers are developing new methods to improve vision-language models (VLMs) across various domains. One paper introduces CoT-Mediate, a framework to assess how generated reasoning influences VLM predictions in medic…