Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation | Paper Citation Record

Observation 4168a5e4-f9ff-4733-80e0-ec2db1599077 · outbound

This paper cites The use of smart glasses in the healthcare metaverse: A systematic review,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation The use of smart glasses in the healthcare metaverse: A systematic review,

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This paper cites Designing and implementing smart glass technology for emergency medical services: a sociotechnical perspective,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Designing and implementing smart glass technology for emergency medical services: a sociotechnical perspective,

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This paper cites Interpre- tive error in radiology,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Interpre- tive error in radiology,

Reference 3

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This paper cites The radiologist’s workflow environment: evaluation of disruptors and potential implications,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation The radiologist’s workflow environment: evaluation of disruptors and potential implications,

Reference 4

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Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation The invisible gorilla strikes again: sustained inattentional blindness in expert observers,

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This paper cites Ova-fields: Weakly supervised open-vocabulary affordance fields for robot operational part detection,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Ova-fields: Weakly supervised open-vocabulary affordance fields for robot operational part detection,

Reference 6

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This paper cites Clamber: A benchmark of identifying and clarifying ambiguous information needs in large language models,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Clamber: A benchmark of identifying and clarifying ambiguous information needs in large language models,

Reference 7

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This paper cites 3D Instruction Ambiguity Detection.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation 3D Instruction Ambiguity Detection

Reference 8

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Observation 91ade08d-48e3-43e7-b04f-4d9233215639 · outbound

This paper cites Challenges and trends in egocentric vision: A survey,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Challenges and trends in egocentric vision: A survey,

Reference 9

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Observation 3ba95e87-5913-47e1-9e03-d8c7646ccf5f · outbound

This paper cites Temporal segmentation of egocentric videos,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Temporal segmentation of egocentric videos,

Reference 10

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Observation 6fdef3d7-d887-483e-b03d-5a5cd8af0dba · outbound

This paper cites Eventego3d: 3d human motion capture from egocentric event streams,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Eventego3d: 3d human motion capture from egocentric event streams,

Reference 11

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Observation 473dae32-0b38-4c43-91d5-478636ed9895 · outbound

This paper cites Caldiff: calibrating uncertainty and accessing reliability of diffusion models for trustworthy lesion segmentation,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Caldiff: calibrating uncertainty and accessing reliability of diffusion models for trustworthy lesion segmentation,

Reference 12

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Observation 45662fc9-88fc-4fb0-9499-df511497766e · outbound

This paper cites Agent-Oriented Planning in Multi-Agent Systems.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Agent-Oriented Planning in Multi-Agent Systems

Reference 13

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Observation 84b4d7d4-636e-49fb-853f-662a3867d3f5 · outbound

This paper cites Agentorchestra: A hierarchical multi-agent framework for general- purpose task solving,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Agentorchestra: A hierarchical multi-agent framework for general- purpose task solving,

Reference 14

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Observation 8f51badd-2355-4dbd-a897-bc75c1bb561e · outbound

This paper cites EvoMAS: Evolutionary Generation of Multi-Agent Systems.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation EvoMAS: Evolutionary Generation of Multi-Agent Systems

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Observation 1b3725cb-52a8-44e1-916d-d9ca419b0d94 · outbound

This paper cites Scaling egocentric vision: The epic-kitchens dataset,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Scaling egocentric vision: The epic-kitchens dataset,

Reference 16

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Observation 0577ab22-d01f-4911-9100-d0e9a591100a · outbound

This paper cites Ego4d: Around the world in 3,000 hours of egocentric video,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Ego4d: Around the world in 3,000 hours of egocentric video,

Reference 17

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Observation 0b3ecf0d-4cf7-407a-ba0d-7d8f95ef6a92 · outbound

This paper cites Omnia de egotempo: Benchmarking temporal understanding of multi-modal llms in egocentric videos,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Omnia de egotempo: Benchmarking temporal understanding of multi-modal llms in egocentric videos,

Reference 18

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Observation e3697d9e-e63c-4e59-8deb-ecbcc99bdcf9 · outbound

This paper cites Egotextvqa: Towards egocentric scene-text aware video question answering,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Egotextvqa: Towards egocentric scene-text aware video question answering,

Reference 19

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This paper cites Robust egocentric referring video object segmentation via dual-modal causal intervention,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Robust egocentric referring video object segmentation via dual-modal causal intervention,

Reference 20

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Observation 089e2db7-08c1-458d-a51c-f368920a8886 · outbound

This paper cites Cognition Transferring and Decoupling for Text-supervised Egocentric Semantic Segmentation.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Cognition Transferring and Decoupling for Text-supervised Egocentric Semantic Segmentation

Reference 21

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This paper cites Egosurgery-phase: A dataset of surgical phase recognition from egocentric open surgery videos,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Egosurgery-phase: A dataset of surgical phase recognition from egocentric open surgery videos,

Reference 22

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This paper cites An egocentric life-saving interventional procedure dataset of actions, medical ques- tions, maneuvers and tools,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation An egocentric life-saving interventional procedure dataset of actions, medical ques- tions, maneuvers and tools,

Reference 23

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Observation 252f1d95-a1a3-446f-89a7-e0b12ca77688 · outbound

This paper cites Egosurgery-hts: A dataset for egocentric hand–tool segmentation in open surgery videos,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Egosurgery-hts: A dataset for egocentric hand–tool segmentation in open surgery videos,

Reference 24

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Observation 2a1656cc-6f75-436b-95c3-ea80e5a7efde · outbound

This paper cites An outlook into the future of egocentric vision: C. plizzari et al.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation An outlook into the future of egocentric vision: C. plizzari et al

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This paper cites Egocentric co-pilot: Web- native smart-glasses agents for assistive egocentric ai,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Egocentric co-pilot: Web- native smart-glasses agents for assistive egocentric ai,

Reference 26

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Observation f0b9c755-d981-4508-8b3f-56872c027c5f · outbound

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Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Smart glasses in surgery: the theatre and beyond,

Reference 27

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Observation 802615f7-cb07-4e3e-b34a-78d13a9a902b · outbound

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Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Clinical and surgical applications of smart glasses,

Reference 28

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Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation A multimodal generative ai copilot for human pathology,

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Observation e00add39-6f70-4b05-9ddd-95c498a1277e · outbound

This paper cites Advances in medical image segmentation: A comprehensive review of traditional, deep learning and hybrid approaches,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Advances in medical image segmentation: A comprehensive review of traditional, deep learning and hybrid approaches,

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This paper cites Segment anything in medical images,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Segment anything in medical images,

Reference 31

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Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Deepigeos: a deep interactive geodesic framework for medical image segmentation,

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Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Limis: Towards language-based interactive medi- cal image segmentation,

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Observation 85f51f3c-ce39-4d00-81df-fd0c4ff24a0f · outbound

This paper cites Tgsam-2: Text-guided medical image segmentation using segment anything model 2,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Tgsam-2: Text-guided medical image segmentation using segment anything model 2,

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Observation 5ed06c7a-cd5c-48c1-8fca-e081b8cbc0da · outbound

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Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Medsam3: Delving into segment anything with medical concepts,

Reference 35

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Observation 4f9270ab-e645-4eac-96e0-218d0ea04aa2 · outbound

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Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Lisa: Reasoning segmentation via large language model,

Reference 36

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Observation df00e79e-295e-4ab8-9c00-32254b18ca0f · outbound

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Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Prism: A promptable and robust interactive segmentation model with visual prompts,

Reference 37

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Observation b19468bd-779c-4ba2-948c-50cf37b05c98 · outbound

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Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Simtxtseg: Weakly-supervised medical image segmentation with simple text cues,

Reference 38

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Observation fc064379-af0d-41b0-8621-960fa7995a6b · outbound

This paper cites Temporally-extended prompts optimization for sam in interactive medical image segmenta- tion,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Temporally-extended prompts optimization for sam in interactive medical image segmenta- tion,

Reference 39

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Observation 4c24008b-63e6-4b31-9f3b-24a2ada09ff3 · outbound

This paper cites AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments

Reference 40

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Observation c4ed4b79-1ce1-4870-8ff2-a67d8237aeb7 · outbound

This paper cites Medagentsim: Self- evolving multi-agent simulations for realistic clinical interactions,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Medagentsim: Self- evolving multi-agent simulations for realistic clinical interactions,

Reference 41

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Observation 684c25d9-f3a6-4f0f-a943-50cddc620bfa · outbound

This paper cites Medical ai consensus: A multi-agent framework for radiology report generation and evaluation,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Medical ai consensus: A multi-agent framework for radiology report generation and evaluation,

Reference 42

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This paper cites A Multimodal Multi-Agent Framework for Radiology Report Generation.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation A Multimodal Multi-Agent Framework for Radiology Report Generation

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Observation 3f4b6d90-b7e1-405d-b5c7-61c492bcb30c · outbound

This paper cites Reflectool: Towards reflection- aware tool-augmented clinical agents,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Reflectool: Towards reflection- aware tool-augmented clinical agents,

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Observation 4625560b-a67f-4c94-945a-ab2623a5cb89 · outbound

This paper cites Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation,

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Observation b11e14a5-0ac0-4886-857d-4ff125119723 · outbound

This paper cites Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the problem solved?.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the problem solved?

Reference 46

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Observation ab5ed97b-5f8c-4bcd-aa18-5b1df09e3276 · outbound

This paper cites Deep learning for segmentation using an open large-scale dataset in 2d echocardiography,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Deep learning for segmentation using an open large-scale dataset in 2d echocardiography,

Reference 47

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Observation e27a886b-ade1-4434-a56f-6765d3bc8840 · outbound

This paper cites Two public chest x-ray datasets for computer-aided screen- ing of pulmonary diseases,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Two public chest x-ray datasets for computer-aided screen- ing of pulmonary diseases,

Reference 48

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Observation 6a8c9d21-e1d6-4657-ace0-875539c76d95 · outbound

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Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation A multi- centre polyp detection and segmentation dataset for generalisability assessment,

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Observation 43592686-b2a4-46d5-ab98-d76317040c5a · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation SAM 2: Segment Anything in Images and Videos

Reference 50

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Observation bbcb1db4-3658-43b9-995f-df931b707c40 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 51

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This paper cites Grounding dino 1.5: Advance the.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Grounding dino 1.5: Advance the

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Observation 721953d3-8a32-41f4-9fd3-17fe87e3ce6f · outbound

This paper cites Grounded sam: Assembling open-world models for diverse visual tasks,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Grounded sam: Assembling open-world models for diverse visual tasks,

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Observation 7b6e640e-e59f-4aca-a1b3-b5fba0cc1931 · outbound

This paper cites Segment Anything.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Segment Anything

Reference 54

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Observation 827754e1-bf29-4fac-b618-32c94883a59a · outbound

This paper cites Language segment-anything,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Language segment-anything,

Reference 55

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Observation 8307d01c-a1f9-40be-9c24-3b9b14602493 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation SAM 3: Segment Anything with Concepts

Reference 56

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Observation f2ad9479-df8a-4a91-a78b-e175d2c07b76 · outbound

This paper cites nnu-net: a self-configuring method for deep learning-based biomedical image segmentation,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation nnu-net: a self-configuring method for deep learning-based biomedical image segmentation,

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Observation 51da2f15-91fe-44e8-93d3-99d70a20dc6f · outbound

This paper cites Measures of the amount of ecologic association between species,.

Understanding From Human Perspective: A Multi-agent System for Interactive Egocentric Medical Image Segmentation Measures of the amount of ecologic association between species,

Reference 58

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