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Clip in medical imaging: A comprehensive survey
Contrastive Language-Image Pre-training (CLIP), a simple yet effective pre-training
paradigm, successfully introduces text supervision to vision models. It has shown promising …
paradigm, successfully introduces text supervision to vision models. It has shown promising …
Rocov2: Radiology objects in context version 2, an updated multimodal image dataset
Automated medical image analysis systems often require large amounts of training data with
high quality labels, which are difficult and time consuming to generate. This paper …
high quality labels, which are difficult and time consuming to generate. This paper …
XVO: Generalized visual odometry via cross-modal self-training
We propose XVO, a semi-supervised learning method for training generalized monocular
Visual Odometry (VO) models with robust off-the-self operation across diverse datasets and …
Visual Odometry (VO) models with robust off-the-self operation across diverse datasets and …
Overview of the ImageCLEF 2024: Multimedia retrieval in medical applications
This paper presents an overview of the ImageCLEF 2024 lab, organized as part of the
Conference and Labs of the Evaluation Forum–CLEF Labs 2024. ImageCLEF, an ongoing …
Conference and Labs of the Evaluation Forum–CLEF Labs 2024. ImageCLEF, an ongoing …
Overview of ImageCLEFmedical 2022–caption prediction and concept detection
J Rückert, A Ben Abacha… - CEUR Workshop …, 2022 - repository.essex.ac.uk
The 2022 ImageCLEFmedical caption prediction and concept detection tasks follow similar
challenges that were already run from 2017–2021. The objective is to extract Unified …
challenges that were already run from 2017–2021. The objective is to extract Unified …
[PDF][PDF] Overview of ImageCLEFmedical 2023-Medical Visual Question Answering for Gastrointestinal Tract.
This paper provides an overview of the Medical Visual Question Answering for
Gastrointestinal Tract (MedVQA-GI) challenge held at ImageCLEF 2023, a new challenge …
Gastrointestinal Tract (MedVQA-GI) challenge held at ImageCLEF 2023, a new challenge …
[PDF][PDF] Overview of the MEDIQA-Sum Task at ImageCLEF 2023: Summarization and Classification of Doctor-Patient Conversations.
This paper presents the overview of the MEDIQA-Sum task at ImageCLEF 2023. MEDIQA-
Sum 2023 includes three subtasks, in which a doctor-patient dialogue source is given, and …
Sum 2023 includes three subtasks, in which a doctor-patient dialogue source is given, and …
Overview of ImageCLEFmedical 2023–caption prediction and concept detection
J Rückert, A Ben Abacha… - Working Notes of the …, 2023 - arodes.hes-so.ch
Résumé The 2023 ImageCLEFmedical GANs task is the first edition of this task, examining
the existing hypothesis that GANs (Generative Adversarial Networks) are generating …
the existing hypothesis that GANs (Generative Adversarial Networks) are generating …
X-tra: Improving chest x-ray tasks with cross-modal retrieval augmentation
An important component of human analysis of medical images and their context is the ability
to relate newly seen things to related instances in our memory. In this paper we mimic this …
to relate newly seen things to related instances in our memory. In this paper we mimic this …
Overview of ImageCLEFmedical GANs 2023 Task: identifying training data “fingerprints” in synthetic biomedical images generated by GANs for medical image security
Résumé The 2023 ImageCLEFmedical GANs task is the first edition of this task, examining
the existing hypothesis that GANs (Generative Adversarial Networks) are generating …
the existing hypothesis that GANs (Generative Adversarial Networks) are generating …