Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring | Paper Citation Record

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Unresolved cited work

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Unresolved cited work

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This paper cites Armstrong, Andrew J.

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Armstrong, Andrew J

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This paper cites Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P.

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P

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This paper cites Autoencoders for unsuper- vised anomaly segmentation in brain MR images: A com- parative study.Medical Image Analysis, 69:101952, 2021.

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Autoencoders for unsuper- vised anomaly segmentation in brain MR images: A com- parative study.Medical Image Analysis, 69:101952, 2021

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Unresolved cited work

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This paper cites Reeves, Joseph M.

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Reeves, Joseph M

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This paper cites Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral.

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral

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This paper cites Extremely simple activation shaping for out- of-distribution detection.

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Extremely simple activation shaping for out- of-distribution detection

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This paper cites Graham, Walter H.

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Graham, Walter H

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This paper cites Domain-specific language model pre- training for biomedical natural language processing.ACM Transactions on Computing for Healthcare, 3(1):1–23, 2021.

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Domain-specific language model pre- training for biomedical natural language processing.ACM Transactions on Computing for Healthcare, 3(1):1–23, 2021

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This paper cites A baseline for detecting misclassified and out-of-distribution examples in neural net- works.

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring A baseline for detecting misclassified and out-of-distribution examples in neural net- works

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This paper cites Deep anomaly detection with outlier exposure.

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Deep anomaly detection with outlier exposure

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Out-of-distribution Detection in Medical Image Analysis: A survey

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Parameter-efficient transfer learning for nlp

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This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Winclip: Zero- /few-shot anomaly classification and segmentation

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This paper cites Negative label guided ood detec- 9 tion with pretrained vision-language models.

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Negative label guided ood detec- 9 tion with pretrained vision-language models

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This paper cites A simple unified framework for detecting out-of-distribution samples and adversarial attacks.

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring A simple unified framework for detecting out-of-distribution samples and adversarial attacks

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This paper cites Llava-med: Training a large language- and-vision assistant for biomedicine in one day.

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Llava-med: Training a large language- and-vision assistant for biomedicine in one day

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Prefix-tuning: Optimizing continuous prompts for generation

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Energy-based out-of-distribution detection

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Delving into out-of-distribution detection with vision-language representations

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Delving into out-of-distribution detection with vision-language representations

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Locoop: Few-shot out-of-distribution detection via prompt learning

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Gl-mcm: Global and local maximum concept matching for zero-shot out-of-distribution detection.International Jour- nal of Computer Vision, 2025

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring T-QPM: Enabling Temporal Out-Of-Distribution Detection and Domain Generalization for Vision-Language Models in Open-World

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Learning transferable visual models from natural language supervision

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Detect-and- segment: A deep learning approach to automate wound im- age segmentation.Informatics in Medicine Unlocked, 29: 100884, 2022

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Understanding cross-modal contributions in continual vision-language models: A theo- retical perspective.arXiv preprint arXiv:2606.14883, 2026

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring React: Out-of- distribution detection with rectified activations

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Out-of- distribution detection with deep nearest neighbors

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Csi: Novelty detection via contrastive learning on dis- tributionally shifted instances

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Gomez, Lukasz Kaiser, and Illia Polosukhin

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Vim: Out-of-distribution with virtual-logit matching

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Clipn for zero-shot ood detection: Teaching clip to say no

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Openood: Benchmarking generalized out-of-distribution de- tection

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Generalized out-of-distribution detection: A survey.Inter- national Journal of Computer Vision, 132(12):5635–5662,

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Adalora: Adaptive budget allocation for parameter-efficient fine-tuning

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Conditional prompt learning for vision-language models

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Learning to prompt for vision-language models.In- ternational Journal of Computer Vision, 130(9):2337–2348,

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring A systematic review of image- based AI for wound assessment [2] identifies segmentation, tissue classification, and healing-trajectory prediction as the three central tasks

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Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring The covari- ate consistency and temporal consistency objectives were weighted byλ cov = 0.1andλ temp = 0.05, respectively

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This paper cites Baseline images were assigned to week 0, while subsequent visits were indexed by their cor- responding clinical follow-up week.

Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring Baseline images were assigned to week 0, while subsequent visits were indexed by their cor- responding clinical follow-up week

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