A Lightweight Transformer for Pain Recognition from Brain Activity | Paper Citation Record

Observation ff3dfdf4-24d9-4f0b-ad00-4e4a7b47884e · outbound

This paper cites Painful truth: The need to re-center chronic pain on the functional role of pain.

A Lightweight Transformer for Pain Recognition from Brain Activity Painful truth: The need to re-center chronic pain on the functional role of pain

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.240451Z

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Observation 58221f3b-b64b-410a-9f18-fd38bc799726 · outbound

This paper cites Marchand,The pain phenomenon.

A Lightweight Transformer for Pain Recognition from Brain Activity Marchand,The pain phenomenon

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.126542Z

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Observation a5e81ee5-b39e-410b-a592-9edb8944fa3c · outbound

This paper cites Pain: The silent public health epidemic.

A Lightweight Transformer for Pain Recognition from Brain Activity Pain: The silent public health epidemic

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.123606Z

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Observation 2e49e05d-0bf6-4578-bb65-6aaed533944a · outbound

This paper cites Prescription opioid abuse in chronic pain: an updated review of opioid abuse predictors and strategies to curb opioid abuse: part 1.

A Lightweight Transformer for Pain Recognition from Brain Activity Prescription opioid abuse in chronic pain: an updated review of opioid abuse predictors and strategies to curb opioid abuse: part 1

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.120353Z

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Observation efd75675-dd3e-49fe-8294-54f9d3a41574 · outbound

This paper cites The first 24 h: opioid administration in people with spinal cord injury and neurologic recovery.

A Lightweight Transformer for Pain Recognition from Brain Activity The first 24 h: opioid administration in people with spinal cord injury and neurologic recovery

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.117228Z

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Observation 9a626eda-4709-408c-b487-1900bc1a5a08 · outbound

This paper cites Opioid complications and side effects.

A Lightweight Transformer for Pain Recognition from Brain Activity Opioid complications and side effects

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.114759Z

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Observation cf6a8a05-3cf7-44a7-a8a7-e048693a5bca · outbound

This paper cites Analgesic administration, pain intensity, and patient satisfaction in cardiac surgical patients.

A Lightweight Transformer for Pain Recognition from Brain Activity Analgesic administration, pain intensity, and patient satisfaction in cardiac surgical patients

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.111845Z

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Observation 2e03b71c-f82b-427a-b174-78e1679ea2a9 · outbound

This paper cites Use of a pain assessment and intervention notation (p.a.i.n.) tool in critical care nursing practice: Nurses’ evaluations.

A Lightweight Transformer for Pain Recognition from Brain Activity Use of a pain assessment and intervention notation (p.a.i.n.) tool in critical care nursing practice: Nurses’ evaluations

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.109106Z

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Observation 2793bc7e-6556-4651-993b-77a41d1ad32b · outbound

This paper cites Update on prevalence of pain in patients with cancer 2022: A systematic literature review and meta-analysis.

A Lightweight Transformer for Pain Recognition from Brain Activity Update on prevalence of pain in patients with cancer 2022: A systematic literature review and meta-analysis

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.105672Z

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Observation 4e28bbb6-649d-465d-969b-95c697d6bbe7 · outbound

This paper cites Cognition and pain: A review.

A Lightweight Transformer for Pain Recognition from Brain Activity Cognition and pain: A review

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.102807Z

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Observation 92705442-3076-4700-af9b-cd747358154a · outbound

This paper cites Pain in focus: How persistent pain disrupts the attentional bias towards pain- related information.

A Lightweight Transformer for Pain Recognition from Brain Activity Pain in focus: How persistent pain disrupts the attentional bias towards pain- related information

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.100487Z

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Observation 18c248d4-aa16-4ff8-be28-05e8af8cb473 · outbound

This paper cites The effect of induced and chronic pain on attention.

A Lightweight Transformer for Pain Recognition from Brain Activity The effect of induced and chronic pain on attention

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.097551Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6dee1f20-f661-4732-a977-2a15033cc9b8 · outbound

This paper cites A systematic review of neurophysiological sensing for the assessment of acute pain.

A Lightweight Transformer for Pain Recognition from Brain Activity A systematic review of neurophysiological sensing for the assessment of acute pain

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.095102Z

Source-reported events for the cited work

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Observation 7d9beffc-59cf-405b-8603-44e86328e2c4 · outbound

This paper cites Automatic assessment of pain based on deep learning methods: A systematic review.

A Lightweight Transformer for Pain Recognition from Brain Activity Automatic assessment of pain based on deep learning methods: A systematic review

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.092053Z

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Observation 9fc640b4-ab8e-498d-bc5e-b5e16f0d7ca4 · outbound

This paper cites Twifly: A data analysis framework for twitter.

A Lightweight Transformer for Pain Recognition from Brain Activity Twifly: A data analysis framework for twitter

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.089604Z

Source-reported events for the cited work

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Observation 44329f8a-527f-4771-bf15-5ad43ae16b3c · outbound

This paper cites Region of interest detection and evaluation in functional near infrared spectroscopy.

A Lightweight Transformer for Pain Recognition from Brain Activity Region of interest detection and evaluation in functional near infrared spectroscopy

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.087031Z

Source-reported events for the cited work

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Observation 6f024730-d1b9-4bf0-b1c9-f49accc377ea · outbound

This paper cites 1bt: One-block transformer for eeg-based cognitive workload assessment.

A Lightweight Transformer for Pain Recognition from Brain Activity 1bt: One-block transformer for eeg-based cognitive workload assessment

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.084648Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7e965bf2-c116-43a3-a461-9b274bf9ef82 · outbound

This paper cites Cortical network response to acupuncture and the effect of the hegu point: An fnirs study.

A Lightweight Transformer for Pain Recognition from Brain Activity Cortical network response to acupuncture and the effect of the hegu point: An fnirs study

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-21T00:19:16.764013Z

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Observation 85c0156a-f160-4085-80df-e15e550bf9e5 · outbound

This paper cites an unresolved cited work.

A Lightweight Transformer for Pain Recognition from Brain Activity Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-21T00:19:18.081967Z

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Observation bb863823-bbe6-4bc4-b4cd-770c2acc08b1 · outbound

This paper cites A Pain Assessment Framework based on multimodal data and Deep Machine Learning methods.

A Lightweight Transformer for Pain Recognition from Brain Activity A Pain Assessment Framework based on multimodal data and Deep Machine Learning methods

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-21T00:19:16.758332Z

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Observation 70545eef-36b7-449b-8763-ad5a47b91150 · outbound

This paper cites Spatio-temporal pain estimation network with measuring pseudo heart rate gain.

A Lightweight Transformer for Pain Recognition from Brain Activity Spatio-temporal pain estimation network with measuring pseudo heart rate gain

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.079368Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8c30f09d-e2ec-42a5-a626-1db122fae851 · outbound

This paper cites Acute pain recognition from facial expression videos using vision transformers.

A Lightweight Transformer for Pain Recognition from Brain Activity Acute pain recognition from facial expression videos using vision transformers

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.076718Z

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Observation 5953686c-c140-4b65-8572-e9c8f9a0dc6b · outbound

This paper cites A full transformer-based framework for automatic pain estimation using videos.

A Lightweight Transformer for Pain Recognition from Brain Activity A full transformer-based framework for automatic pain estimation using videos

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.073989Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6fa84ebc-cb9f-4838-a211-4ee3f4acb8ad · outbound

This paper cites Synthetic thermal and rgb videos for automatic pain assessment utilizing a vision-mlp architecture.

A Lightweight Transformer for Pain Recognition from Brain Activity Synthetic thermal and rgb videos for automatic pain assessment utilizing a vision-mlp architecture

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.071225Z

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Observation 851664af-0669-4fba-9b08-6ffc23505392 · outbound

This paper cites Automatic pain intensity estimation based on electrocardiogram and demographic factors.

A Lightweight Transformer for Pain Recognition from Brain Activity Automatic pain intensity estimation based on electrocardiogram and demographic factors

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.068688Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d20d3d99-217e-4463-871e-090dfb8b978f · outbound

This paper cites Multi-task neural networks for pain intensity estimation using electrocardiogram and demographic factors.

A Lightweight Transformer for Pain Recognition from Brain Activity Multi-task neural networks for pain intensity estimation using electrocardiogram and demographic factors

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.065438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c05287bb-b04a-46c6-bd8d-b580e24b67a8 · outbound

This paper cites Exploring deep physiological models for nociceptive pain recognition.

A Lightweight Transformer for Pain Recognition from Brain Activity Exploring deep physiological models for nociceptive pain recognition

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.062763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8ac43a5c-220e-4b8f-8010-3bdee660388c · outbound

This paper cites Ensemble neural networks for multimodal acute pain intensity evaluation using video and physiological signals.

A Lightweight Transformer for Pain Recognition from Brain Activity Ensemble neural networks for multimodal acute pain intensity evaluation using video and physiological signals

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.059613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ecd6f800-ff80-4aab-8dc4-b97ecb5aa1da · outbound

This paper cites Multimodal pain assessment based on physiological biosignals: The impact of demographic factors on perception and sensitivity.

A Lightweight Transformer for Pain Recognition from Brain Activity Multimodal pain assessment based on physiological biosignals: The impact of demographic factors on perception and sensitivity

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.237342Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 829d780c-2f43-4cf0-b924-b7d54a9fba9a · outbound

This paper cites Automatic pain assessment with ultra-short electrodermal activity signal.

A Lightweight Transformer for Pain Recognition from Brain Activity Automatic pain assessment with ultra-short electrodermal activity signal

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.234510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 07cbd311-faf6-4824-87d6-308c208c297c · outbound

This paper cites Pain recognition with physiological signals using multi-level context information.

A Lightweight Transformer for Pain Recognition from Brain Activity Pain recognition with physiological signals using multi-level context information

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.231725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d069def0-7976-4eba-a492-0aa640927b14 · outbound

This paper cites Transformer encoder with multiscale deep learning for pain classification using physiological signals.

A Lightweight Transformer for Pain Recognition from Brain Activity Transformer encoder with multiscale deep learning for pain classification using physiological signals

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.229227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 30483eb8-ca50-4cef-9a2a-b422cd854f0c · outbound

This paper cites Automatic pain assessment based on physiological signals: Application of multi-scale networks and cross-attention cross-attention.

A Lightweight Transformer for Pain Recognition from Brain Activity Automatic pain assessment based on physiological signals: Application of multi-scale networks and cross-attention cross-attention

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.225881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f3d69b32-66ae-4c8e-af59-fca1117a8e0a · outbound

This paper cites A two-stage architecture for identifying and locating the source of pain using novel multi-domain binary patterns of eda.

A Lightweight Transformer for Pain Recognition from Brain Activity A two-stage architecture for identifying and locating the source of pain using novel multi-domain binary patterns of eda

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.222781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 58e88e90-9241-42a7-a62f-b1172aadbd8e · outbound

This paper cites Multi-representation diagrams for pain recognition: Integrating various electrodermal activity signals into a single image.

A Lightweight Transformer for Pain Recognition from Brain Activity Multi-representation diagrams for pain recognition: Integrating various electrodermal activity signals into a single image

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.219692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 12ec1fda-418b-4045-92b1-7b448529d4bc · outbound

This paper cites Pain assessment based on fnirs using bi-lstm rnns.

A Lightweight Transformer for Pain Recognition from Brain Activity Pain assessment based on fnirs using bi-lstm rnns

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.216729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2a93dfa0-1dab-4be1-9ea7-d18cf5a0d0f3 · outbound

This paper cites Multilevel pain assessment with functional near-infrared spectroscopy: Evaluating δhbo2 and δhhb measures for comprehensive analysis.

A Lightweight Transformer for Pain Recognition from Brain Activity Multilevel pain assessment with functional near-infrared spectroscopy: Evaluating δhbo2 and δhhb measures for comprehensive analysis

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.213651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6d5be8f3-473d-4681-ac26-0bb0561f9ee8 · outbound

This paper cites Empirical comparison of deep learning models for fnirs pain decoding.

A Lightweight Transformer for Pain Recognition from Brain Activity Empirical comparison of deep learning models for fnirs pain decoding

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.210635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8b6f2081-ceb0-444f-b124-a9624434c3d5 · outbound

This paper cites Pain assessment using multi-kernel-fcn-lstm and haemoglobin difference in fnirs.

A Lightweight Transformer for Pain Recognition from Brain Activity Pain assessment using multi-kernel-fcn-lstm and haemoglobin difference in fnirs

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.207683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 69fcbc23-3ca6-4428-ab69-7f19aceb40d7 · outbound

This paper cites fnirs approach to pain assessment for non-verbal patients.

A Lightweight Transformer for Pain Recognition from Brain Activity fnirs approach to pain assessment for non-verbal patients

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.204491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 497a8e0d-45e2-42fd-b01d-c550b3d56625 · outbound

This paper cites A machine learning approach for the identification of a biomarker of human pain using fnirs.

A Lightweight Transformer for Pain Recognition from Brain Activity A machine learning approach for the identification of a biomarker of human pain using fnirs

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.201243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4a395fb5-2457-4921-af30-3a4ae447c656 · outbound

This paper cites Empirical comparison of deep learning models for fnirs pain decoding.

A Lightweight Transformer for Pain Recognition from Brain Activity Empirical comparison of deep learning models for fnirs pain decoding

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.198240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a92b29d7-5dbe-411a-9c3e-a0bc3f3e8818 · outbound

This paper cites A crossmod-transformer deep learning framework for multi-modal pain detection through eda and ecg fusion.

A Lightweight Transformer for Pain Recognition from Brain Activity A crossmod-transformer deep learning framework for multi-modal pain detection through eda and ecg fusion

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.195241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 71802142-4a88-4d47-a7e5-2ae2da047c75 · outbound

This paper cites Mul- timodal automatic assessment of acute pain through facial videos and heart rate signals utilizing transformer-based architectures.

A Lightweight Transformer for Pain Recognition from Brain Activity Mul- timodal automatic assessment of acute pain through facial videos and heart rate signals utilizing transformer-based architectures

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.192363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c17ceab-4660-48bb-9143-96762fde3a05 · outbound

This paper cites Giaformer: A gradient-infused attention and transformer for pain assessment with eda-fnirs fusion.

A Lightweight Transformer for Pain Recognition from Brain Activity Giaformer: A gradient-infused attention and transformer for pain assessment with eda-fnirs fusion

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.188855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 67cb9018-9a96-468c-8816-bcaf64871220 · outbound

This paper cites Tree-based models for pain detection from biomedical signals.

A Lightweight Transformer for Pain Recognition from Brain Activity Tree-based models for pain detection from biomedical signals

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.186290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4291c91a-1804-4936-9902-2346cdd37980 · outbound

This paper cites Discrete wavelet transform based pain assessment using multiple physiological signals.

A Lightweight Transformer for Pain Recognition from Brain Activity Discrete wavelet transform based pain assessment using multiple physiological signals

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.183834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9125dee3-d896-4fa5-9b11-97ce6952b340 · outbound

This paper cites A multi-modal multi-expert framework for pain assessment in postoperative children.

A Lightweight Transformer for Pain Recognition from Brain Activity A multi-modal multi-expert framework for pain assessment in postoperative children

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.181348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cd92b4dc-712c-41e3-bb6c-ab43f1dca848 · outbound

This paper cites Efficient pain recognition via respiration signals: A single cross-attention transformer multi-window fusion pipeline.

A Lightweight Transformer for Pain Recognition from Brain Activity Efficient pain recognition via respiration signals: A single cross-attention transformer multi-window fusion pipeline

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.178975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a91c3cd8-c1c1-4e8e-9928-4b299a80569b · outbound

This paper cites The ai4pain grand challenge 2024: Advancing pain assessment with multimodal fnirs and facial video analysis.

A Lightweight Transformer for Pain Recognition from Brain Activity The ai4pain grand challenge 2024: Advancing pain assessment with multimodal fnirs and facial video analysis

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.176365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e54b0328-eaa4-4c1f-829e-07bb20c13a37 · outbound

This paper cites Multimodal physiological sensing for the assessment of acute pain.

A Lightweight Transformer for Pain Recognition from Brain Activity Multimodal physiological sensing for the assessment of acute pain

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.173902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ccf80cce-a4e0-4503-9dd5-8b1cabdfa73c · outbound

This paper cites Twins-painvit: Towards a modality-agnostic vision transformer framework for multimodal automatic pain assessment using facial videos and fnirs.

A Lightweight Transformer for Pain Recognition from Brain Activity Twins-painvit: Towards a modality-agnostic vision transformer framework for multimodal automatic pain assessment using facial videos and fnirs

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.171563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 14be6560-c82e-498b-a757-d30bfb069e7e · outbound

This paper cites Faces of experimental pain: Transferability of deep-learned heat pain features to electrical pain*.

A Lightweight Transformer for Pain Recognition from Brain Activity Faces of experimental pain: Transferability of deep-learned heat pain features to electrical pain*

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.169154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2ed9c18b-0cfd-438e-ae7f-318812c762c6 · outbound

This paper cites Multimodal model for automated pain assessment: Leveraging video and fnirs.

A Lightweight Transformer for Pain Recognition from Brain Activity Multimodal model for automated pain assessment: Leveraging video and fnirs

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.166529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6b3efba4-4df6-4d29-8e47-d196eb7a8e0e · outbound

This paper cites Empirically transformed energy patterns: A novel approach for capturing fnirs signal dynamics in pain assessment.

A Lightweight Transformer for Pain Recognition from Brain Activity Empirically transformed energy patterns: A novel approach for capturing fnirs signal dynamics in pain assessment

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.163868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ed3a1771-ab22-4850-a7b3-5e201958f3bf · outbound

This paper cites Transformer with leveraged masked autoencoder for video-based pain assessment.

A Lightweight Transformer for Pain Recognition from Brain Activity Transformer with leveraged masked autoencoder for video-based pain assessment

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.161044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1ec0e074-afc5-45eb-bc38-16fe013041b8 · outbound

This paper cites Painformer: A vision foundation model for automatic pain assessment.

A Lightweight Transformer for Pain Recognition from Brain Activity Painformer: A vision foundation model for automatic pain assessment

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.157652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 62de0bc3-07ef-4d30-987e-569e06bff6b1 · outbound

This paper cites Tiny-biomoe: a lightweight embedding model for biosignal analysis.

A Lightweight Transformer for Pain Recognition from Brain Activity Tiny-biomoe: a lightweight embedding model for biosignal analysis

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.154934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 00ac1494-3b18-4eab-8b02-d58c0d0b88b7 · outbound

This paper cites A view on edge caching applications.

A Lightweight Transformer for Pain Recognition from Brain Activity A view on edge caching applications

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.151636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 28483189-a25e-4c74-ad20-4def135dc761 · outbound

This paper cites Empatheticexchanges: Toward understanding the cues for empathy in dyadic conversations.

A Lightweight Transformer for Pain Recognition from Brain Activity Empatheticexchanges: Toward understanding the cues for empathy in dyadic conversations

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.149004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b760c8ec-7703-46b6-8c6d-96afc0aa6987 · outbound

This paper cites When and how to express empathy in human-robot interaction scenarios.

A Lightweight Transformer for Pain Recognition from Brain Activity When and how to express empathy in human-robot interaction scenarios

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.145106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 86651d8a-3c98-479d-aa32-770257c1ab00 · outbound

This paper cites Empathetic robots using empathy classifiers in hri settings.

A Lightweight Transformer for Pain Recognition from Brain Activity Empathetic robots using empathy classifiers in hri settings

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.142623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6f544cad-2f82-466d-bdd5-5dfc6d6b8fdc · outbound

This paper cites Data augmentation for 3dmm-based arousal-valence prediction for hri.

A Lightweight Transformer for Pain Recognition from Brain Activity Data augmentation for 3dmm-based arousal-valence prediction for hri

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.140042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 733602e5-068c-49d7-b683-ab79e4589cf0 · outbound

This paper cites Enhancing social robot’s direct gaze expression through vestibulo-ocular movements.

A Lightweight Transformer for Pain Recognition from Brain Activity Enhancing social robot’s direct gaze expression through vestibulo-ocular movements

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.137473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5de8aa60-5da8-42e3-914a-3402e6a21032 · outbound

This paper cites Virtual reflections on a dynamic 2-d eye model improve spatial reference identification.

A Lightweight Transformer for Pain Recognition from Brain Activity Virtual reflections on a dynamic 2-d eye model improve spatial reference identification

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.134618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fd643aca-57b4-4b61-bb5b-fc796dafeb50 · outbound

This paper cites A visual perceptual perspective on gaze in social robotics.

A Lightweight Transformer for Pain Recognition from Brain Activity A visual perceptual perspective on gaze in social robotics

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.131761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8f73695c-9416-4734-99d2-f23aaa493617 · outbound

This paper cites Efficient emotion-aware iconic gesture prediction for robot co-speech.

A Lightweight Transformer for Pain Recognition from Brain Activity Efficient emotion-aware iconic gesture prediction for robot co-speech

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T00:19:18.129135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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