Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets | Paper Citation Record

Observation 5ccae83e-bd6a-4f5d-b65c-0eaa20b7db5d · outbound

This paper cites Global, regional, and national burden of childhood leukemia from 1990 to 2021,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Global, regional, and national burden of childhood leukemia from 1990 to 2021,

Reference 1

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Observation 3533446f-ee02-4481-bf70-8de35eaa503e · outbound

This paper cites Diagnosis and typing of leukemia using a single peripheral blood cell through deep learning,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Diagnosis and typing of leukemia using a single peripheral blood cell through deep learning,

Reference 2

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Observation b6e0e7df-57bf-491b-8103-04e7564a2f3f · outbound

This paper cites A review of deep learning techniques for leukemia cancer classification based on blood smear images,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets A review of deep learning techniques for leukemia cancer classification based on blood smear images,

Reference 3

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This paper cites Reliable leukemia detection via transfer-enhanced bayesian cnns,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Reliable leukemia detection via transfer-enhanced bayesian cnns,

Reference 4

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This paper cites Vista: vision transformer-attention enhanced cnn ensemble for optimized classification of acute lymphoblastic leukemia benign and progressive malignant stages,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Vista: vision transformer-attention enhanced cnn ensemble for optimized classification of acute lymphoblastic leukemia benign and progressive malignant stages,

Reference 5

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Observation ba3bfbfa-d802-42ef-a1e6-0beb1c1a0c2c · outbound

This paper cites Traffic sign classification using real-time gpu-embedded systems,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Traffic sign classification using real-time gpu-embedded systems,

Reference 6

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Observation 3bb20b20-8122-4c31-b2f8-583091845e4c · outbound

This paper cites Dinobloom: A foundation model for generalizable cell embeddings in hematology,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Dinobloom: A foundation model for generalizable cell embeddings in hematology,

Reference 7

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Observation 4cf1d6e7-bf55-42c8-936e-224f48b5aeda · outbound

This paper cites A multimodal biomedical foundation model trained from fifteen million image–text pairs,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets A multimodal biomedical foundation model trained from fifteen million image–text pairs,

Reference 8

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This paper cites Learning transferable visual models from natural language super- vision,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Learning transferable visual models from natural language super- vision,

Reference 9

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This paper cites Gradient-based learning applied to document recogni- tion,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Gradient-based learning applied to document recogni- tion,

Reference 10

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This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 11

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Observation c4693990-eeb9-44cf-9f57-3546c0c3bd45 · outbound

This paper cites Acute lymphoblastic leukemia subtypes detection using vision transformer model,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Acute lymphoblastic leukemia subtypes detection using vision transformer model,

Reference 12

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This paper cites All-vit: A novel approach for detection of acute lym- phoblastic leukemia,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets All-vit: A novel approach for detection of acute lym- phoblastic leukemia,

Reference 13

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This paper cites Leukovit-unet: A u-net and vision transformer hybrid approach for leukemia cell segmentation and classification,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Leukovit-unet: A u-net and vision transformer hybrid approach for leukemia cell segmentation and classification,

Reference 14

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Observation 679bc228-6f67-4b0e-baab-6aac33ac7f60 · outbound

This paper cites Hybrid vision transformer and cnn for leukemia detection in blood smear images,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Hybrid vision transformer and cnn for leukemia detection in blood smear images,

Reference 15

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Observation ffd90f4f-c802-462e-ab97-0f53e4674507 · outbound

This paper cites Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology

Reference 16

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Observation 41242ef1-7e44-405b-9e51-4657e6d919c2 · outbound

This paper cites Cross-platform deep learning enables automated cytomorphologic subtyping of acute leukemia from bone marrow smears,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Cross-platform deep learning enables automated cytomorphologic subtyping of acute leukemia from bone marrow smears,

Reference 17

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This paper cites Microscopic hematological image classification with captions using few-shot learning in data-scarce environments,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Microscopic hematological image classification with captions using few-shot learning in data-scarce environments,

Reference 18

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This paper cites Evaluating vision-language models for hematology image classification: Performance analysis of clip and its biomedical ai variants,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Evaluating vision-language models for hematology image classification: Performance analysis of clip and its biomedical ai variants,

Reference 19

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This paper cites Multimodal knowledge graph–guided rag-llm for clinical decision support in pediatric leukemia,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Multimodal knowledge graph–guided rag-llm for clinical decision support in pediatric leukemia,

Reference 20

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This paper cites Images retrieval and classifica- tion for acute myeloid leukemia blood cell using deep metric learning,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Images retrieval and classifica- tion for acute myeloid leukemia blood cell using deep metric learning,

Reference 21

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This paper cites AI-based hematological malignancy prediction from peripheral blood smears in a large diagnostic laboratory cohort,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets AI-based hematological malignancy prediction from peripheral blood smears in a large diagnostic laboratory cohort,

Reference 22

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This paper cites A hierarchical ensemble inference pipeline for robust white blood cell classification under domain shifts,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets A hierarchical ensemble inference pipeline for robust white blood cell classification under domain shifts,

Reference 23

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This paper cites Do foundation models truly outperform domain-specific models? evidence from digital pathology,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Do foundation models truly outperform domain-specific models? evidence from digital pathology,

Reference 24

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This paper cites Advancements in leukemia management: Bridging diagnosis, prognosis and nanotechnology (review),.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Advancements in leukemia management: Bridging diagnosis, prognosis and nanotechnology (review),

Reference 25

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This paper cites Normal and leukemic hematopoiesis: Are leukemias a stem cell disorder or a reacquisition of stem cell characteristics?,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Normal and leukemic hematopoiesis: Are leukemias a stem cell disorder or a reacquisition of stem cell characteristics?,

Reference 26

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This paper cites Morphology of leukaemias,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Morphology of leukaemias,

Reference 27

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This paper cites Lymphoid and myeloid lineage commitment in multipotent hematopoietic progenitors,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Lymphoid and myeloid lineage commitment in multipotent hematopoietic progenitors,

Reference 28

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This paper cites Role of morphology in the diagnosis of acute leukemias: Systematic review,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Role of morphology in the diagnosis of acute leukemias: Systematic review,

Reference 29

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This paper cites Domain-incremental white blood cell classification with privacy-aware continual learning,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Domain-incremental white blood cell classification with privacy-aware continual learning,

Reference 30

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This paper cites All-idb: The acute lymphoblastic leukemia image database for image processing,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets All-idb: The acute lymphoblastic leukemia image database for image processing,

Reference 31

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This paper cites Evaluation method of deep learning-based embedded systems for traffic sign detection,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Evaluation method of deep learning-based embedded systems for traffic sign detection,

Reference 32

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This paper cites Dinov2: Learning robust visual features without supervision,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Dinov2: Learning robust visual features without supervision,

Reference 33

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This paper cites Application of convolutional neural networks in medical images: a bibliometric analysis,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Application of convolutional neural networks in medical images: a bibliometric analysis,

Reference 34

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This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 35

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Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets LoRA: Low-Rank Adaptation of Large Language Models

Reference 36

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This paper cites Low-rank few-shot adaptation of vision-language models,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Low-rank few-shot adaptation of vision-language models,

Reference 37

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This paper cites To- wards better understanding of domain shift on linear-probed visual foundation models,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets To- wards better understanding of domain shift on linear-probed visual foundation models,

Reference 38

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This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 39

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This paper cites Retrieval Augmented Classification for Long-Tail Visual Recognition.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Retrieval Augmented Classification for Long-Tail Visual Recognition

Reference 40

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This paper cites Class imbalance on medical image classification: towards better evaluation practices for discrimination and calibration performance,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Class imbalance on medical image classification: towards better evaluation practices for discrimination and calibration performance,

Reference 41

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This paper cites All challenge dataset of ISBI 2019 (C-NMC 2019),.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets All challenge dataset of ISBI 2019 (C-NMC 2019),

Reference 42

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This paper cites A single-cell morphological dataset of leukocytes from aml patients and non-malignant controls,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets A single-cell morphological dataset of leukocytes from aml patients and non-malignant controls,

Reference 43

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This paper cites A dataset for microscopic peripheral blood cell images for development of automatic recognition systems,.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets A dataset for microscopic peripheral blood cell images for development of automatic recognition systems,

Reference 44

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This paper cites A morphological dataset of white blood cells from patients with four different genetic aml entities and non-malignant controls (aml-cytomorphology mll helmholtz),.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets A morphological dataset of white blood cells from patients with four different genetic aml entities and non-malignant controls (aml-cytomorphology mll helmholtz),

Reference 45

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This paper cites an unresolved cited work.

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets Unresolved cited work

Reference 46

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