Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:34:27.273325Z
Paper Citation Record · LEDGER
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial
As of 18 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:1908.11199.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
59 of 59 outbound references displayed
- verified exact0
- verified fuzzy51
- unresolved8
- parse uncertain0
- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 880701b3-246d-4858-b913-0f5742cf5c20 · outbound
This paper cites Missing pieces in the Parkinson’s disease puzzle,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Missing pieces in the Parkinson’s disease puzzle,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:28.196238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ce4d99e7-3815-4ba7-976c-bc405ee03102 · outbound
This paper cites Non-motor symptoms of Parkin- son’s disease: dopaminergic pathophysiology and treatment,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Non-motor symptoms of Parkin- son’s disease: dopaminergic pathophysiology and treatment,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:28.185654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0a8c4fb3-374d-464f-a9ce-b22267d407cd · outbound
This paper cites SNM practice guideline for dopamine transporter imaging with 123I-Ioflupane SPECT 1.0,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial SNM practice guideline for dopamine transporter imaging with 123I-Ioflupane SPECT 1.0,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:28.174722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 11466503-8337-41f6-8396-8445f22bd264 · outbound
This paper cites SPECT imaging evaluation in movement disorders: far beyond visual assessment,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial SPECT imaging evaluation in movement disorders: far beyond visual assessment,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:28.163105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3e0d3e8b-0cda-45fb-ae9e-75d10c002916 · outbound
This paper cites Comparison of machine learning and semi-quantification algorithms for (I123)FP-CIT classification: the beginning of the end for semi-quantification?.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Comparison of machine learning and semi-quantification algorithms for (I123)FP-CIT classification: the beginning of the end for semi-quantification?
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:28.152299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7bc06936-52d6-42d9-8a82-4e465d5199e5 · outbound
This paper cites Deep learning,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Deep learning,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:28.141308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6e826b3f-d6be-4e74-88e2-b31409f44cf5 · outbound
This paper cites Goodfellow, Y.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Goodfellow, Y
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:28.130288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 818b5000-5fb9-40cf-bc25-5fb3416fec43 · outbound
This paper cites Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:28.118288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a22ff37c-3a10-4a36-b6ab-fd277e81cc0f · outbound
This paper cites Deep neural networks rival the representation of primate IT cortex for core visual object recognition,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Deep neural networks rival the representation of primate IT cortex for core visual object recognition,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:28.106144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c283fe02-5cdd-4971-8007-a709177b8ba7 · outbound
This paper cites A survey on deep learning in medical image analysis,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial A survey on deep learning in medical image analysis,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:28.096157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 200b6c13-2a6e-4ac5-96df-b762c1733bcb · outbound
This paper cites Biomedical imaging and analysis in the age of big data and deep learning [scanning the issue],.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Biomedical imaging and analysis in the age of big data and deep learning [scanning the issue],
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:28.085644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 658de90d-59a2-4c1d-bb9b-3162d61ac332 · outbound
This paper cites Con- volutional neural networks for neuroimaging in Parkinson’s disease: Is preprocessing needed?.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Con- volutional neural networks for neuroimaging in Parkinson’s disease: Is preprocessing needed?
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:28.074013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a8f06fc7-5e02-43ac-8b6b-b904db66c72c · outbound
This paper cites an unresolved cited work.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:34:28.054298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 06e9ad13-d361-43b4-bb4c-2a33b56fd32f · outbound
This paper cites Dermatologist-level classification of skin cancer with deep neural networks,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Dermatologist-level classification of skin cancer with deep neural networks,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:28.043563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c83c5fb6-d698-4318-9672-e774021044a3 · outbound
This paper cites An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:28.032369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 37bb937c-d9be-47c6-8e1b-dfc1b2a5b0fb · outbound
This paper cites Interpretable convolutional neural network through layer-wise relevance propagation for machine fault diagnosis,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Interpretable convolutional neural network through layer-wise relevance propagation for machine fault diagnosis,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:28.021134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9eab3b35-9e61-46b7-a3eb-08f6066a973d · outbound
This paper cites Gait spatiotemporal signal analysis for parkinson’s disease detection and severity rating,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Gait spatiotemporal signal analysis for parkinson’s disease detection and severity rating,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:28.007527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f6090d6e-6ad4-4e5d-a605-cde8548eba0f · outbound
This paper cites Toward a fully automated artificial pancreas system using a bioinspired reinforcement learning design: In silico validation,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Toward a fully automated artificial pancreas system using a bioinspired reinforcement learning design: In silico validation,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.995158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7ae62458-6aaf-4142-b341-86efff506c50 · outbound
This paper cites Comparison of two neural network clas- sifiers in the differential diagnosis of essential tremor and Parkinson’s disease by (123)I-FP-CIT brain SPECT,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Comparison of two neural network clas- sifiers in the differential diagnosis of essential tremor and Parkinson’s disease by (123)I-FP-CIT brain SPECT,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.984389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b05b5d09-53e3-46c1-9b08-7cbcc38cd48c · outbound
This paper cites Diagnostic accuracy of parkinson dis- ease by support vector machine (SVM) analysis of (123)I-FP-CIT brain SPECT data: Implications of putaminal findings and age,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Diagnostic accuracy of parkinson dis- ease by support vector machine (SVM) analysis of (123)I-FP-CIT brain SPECT data: Implications of putaminal findings and age,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.972453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b175932b-5235-4ff4-a2fd-e5559cc24b37 · outbound
This paper cites Automatic clas- sification and prediction models for early Parkinson’s disease diagnosis from SPECT imaging,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Automatic clas- sification and prediction models for early Parkinson’s disease diagnosis from SPECT imaging,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.960923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 75ca61f9-6d08-485b-b4f4-ce5154fd9d7a · outbound
This paper cites High-accuracy classification of Parkinson’s disease through shape analysis and surface fitting in 123i-ioflupane SPECT imaging,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial High-accuracy classification of Parkinson’s disease through shape analysis and surface fitting in 123i-ioflupane SPECT imaging,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.949860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 56a35f9f-07b3-455d-b618-2b2668fb23de · outbound
This paper cites CADA—computer-aided DaTSCAN analysis,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial CADA—computer-aided DaTSCAN analysis,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.939153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4984c92f-8eaf-4f92-afc7-dd58204a8b74 · outbound
This paper cites Texture features based detection of Parkinson’s dis- ease on datscan images,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Texture features based detection of Parkinson’s dis- ease on datscan images,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.928450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 20b022c7-6974-46e9-b65d-7432b0a38dd7 · outbound
This paper cites Automatic classification of I- 123-FP-CIT (DaTSCAN) SPECT images,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Automatic classification of I- 123-FP-CIT (DaTSCAN) SPECT images,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.917631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2501ddbf-8ac4-46ef-aee2-c0bfe6ecdede · outbound
This paper cites Automatic detection of parkinsonism using significance measures and component analysis in datscan imaging,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Automatic detection of parkinsonism using significance measures and component analysis in datscan imaging,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.904810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7943f1c6-c920-4732-ae47-a80eac34f759 · outbound
This paper cites Improved parkinsonism diagnosis using a partial least squares based approach,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Improved parkinsonism diagnosis using a partial least squares based approach,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.894079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f1712a26-359e-4b76-be0f-cb7aa33d7470 · outbound
This paper cites Application of empirical mode decomposition (emd) on datscan SPECT images to explore parkinson disease,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Application of empirical mode decomposition (emd) on datscan SPECT images to explore parkinson disease,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.883815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 06d7d4f1-ca94-4e83-abda-0cef014c2fea · outbound
This paper cites Improvement of classification performance of Parkinson’s disease using shape features for machine learning on dopamine transporter single photon emission computed tomography,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Improvement of classification performance of Parkinson’s disease using shape features for machine learning on dopamine transporter single photon emission computed tomography,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.872890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1f643e2e-c79f-4785-82f3-60607ffe02a1 · outbound
This paper cites Automatic assistance to Parkinson’s disease diagnosis in datscan SPECT imaging,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Automatic assistance to Parkinson’s disease diagnosis in datscan SPECT imaging,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.860211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bc06d4ca-64d6-42d9-a4c0-54827f145bcb · outbound
This paper cites Computer-aided diagnosis of Parkinson’s disease based on [123 I]FP-CIT SPECT binding poten- tial images, using the voxels-as-features approach and support vector machines,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Computer-aided diagnosis of Parkinson’s disease based on [123 I]FP-CIT SPECT binding poten- tial images, using the voxels-as-features approach and support vector machines,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.848098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 270ca34d-fd60-4373-ab2a-d551a8434578 · outbound
This paper cites V oxel-based logistic analysis of PPMI control and Parkinson’s disease datscans,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial V oxel-based logistic analysis of PPMI control and Parkinson’s disease datscans,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.836114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 86ef9b08-546a-43aa-913c-f9538ec5de07 · outbound
This paper cites Machine learning interface for medical image analysis,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Machine learning interface for medical image analysis,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.824385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation add4fb9d-afd1-4327-ab19-48e9122651c6 · outbound
This paper cites DatScan SPECT image processing methods for calculation of striatal binding ratio (SBR),.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial DatScan SPECT image processing methods for calculation of striatal binding ratio (SBR),
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.812896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3f6413c1-707d-44e8-a7b0-8fb6ba43c945 · outbound
This paper cites Computer-aided diagnosis of parkinson’s disease based on [123i] fp-cit spect binding potential images, using the voxels-as-features approach and support vector machines,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Computer-aided diagnosis of parkinson’s disease based on [123i] fp-cit spect binding potential images, using the voxels-as-features approach and support vector machines,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.801052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 715f1e26-7870-4e0c-aaee-04462e538fdb · outbound
This paper cites Extraction, selection and comparison of features for an effective automated computer-aided diagnosis of parkinson’s disease based on [123 i] fp-cit spect images,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Extraction, selection and comparison of features for an effective automated computer-aided diagnosis of parkinson’s disease based on [123 i] fp-cit spect images,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.789177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0c4e00c6-30ea-4053-bdcf-5c40ae709f4f · outbound
This paper cites A 3d con- volutional neural network approach for the diagnosis of parkinson’s disease,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial A 3d con- volutional neural network approach for the diagnosis of parkinson’s disease,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.777471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f8b9643d-88c6-4c28-b6d7-5786bc9da61b · outbound
This paper cites Refining diagnosis of Parkinson’s disease with deep learning-based interpretation of dopamine transporter imaging,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Refining diagnosis of Parkinson’s disease with deep learning-based interpretation of dopamine transporter imaging,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.767118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 19b12e68-e020-462d-81fb-88e15b8434b7 · outbound
This paper cites Automatic classification of dopamine transporter spect: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Automatic classification of dopamine transporter spect: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.755853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 712b8c9a-52b4-417c-9a6e-853d86712ecb · outbound
This paper cites Parkinson’s disease detection using isosurfaces- based features and convolutional neural networks,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Parkinson’s disease detection using isosurfaces- based features and convolutional neural networks,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.744458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 15d18a72-5f39-4c1c-9eb5-2c71e6b286ce · outbound
This paper cites An easy-to-use deep-learning model for highly accurate diagnosis of parkinson’s disease using spect images,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial An easy-to-use deep-learning model for highly accurate diagnosis of parkinson’s disease using spect images,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.732452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 54bc005f-826f-4aa6-882c-084647ab7eac · outbound
This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:34:27.213227Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 36ec845e-8817-4244-9dd5-92aab3fe85f8 · outbound
This paper cites Use of deep convolutional neural networks to predict parkinson’s disease progression from datscan spect images,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Use of deep convolutional neural networks to predict parkinson’s disease progression from datscan spect images,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.722009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 614b6966-c25f-4dc1-8487-9ef9a83ff18b · outbound
This paper cites Parkinson’s disease detection using isosurfaces- based features and convolutional neural networks,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Parkinson’s disease detection using isosurfaces- based features and convolutional neural networks,
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:34:27.220521Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9c42c2e-521a-4b5a-8b2a-5a30e6955c22 · outbound
This paper cites The parkinson progression marker initiative (PPMI),.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial The parkinson progression marker initiative (PPMI),
Reference 45
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fa509d81-ac57-4f21-bf9f-553e5bf9f448 · outbound
This paper cites an unresolved cited work.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Unresolved cited work
Reference 46
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation faae3652-b07d-4987-b236-3d19f8f3119c · outbound
This paper cites TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Reference 47
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70c5c9fd-4c56-42a2-a4e1-cd6541ea532a · outbound
This paper cites Understanding the difficulty of training deep feedforward neural networks,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Understanding the difficulty of training deep feedforward neural networks,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.690919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1600536d-f871-4e51-ab36-f74e18daeca0 · outbound
This paper cites Approximate statistical tests for comparing supervised classification learning algorithms,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Approximate statistical tests for comparing supervised classification learning algorithms,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.679974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 417deb70-2033-4172-a934-bd5029888c8e · outbound
This paper cites Learning important fea- tures through propagating activation differences,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Learning important fea- tures through propagating activation differences,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.668425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1bd7c607-05ff-49bc-a823-20944dc99779 · outbound
This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Reference 51
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c986a21-a7c2-4d12-ba14-a38e5c9329c7 · outbound
This paper cites Striving for Simplicity: The All Convolutional Net.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Striving for Simplicity: The All Convolutional Net
Reference 52
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d924b67-c76e-4974-bfa6-2f46b5c8383a · outbound
This paper cites Learning deep features for discriminative localization,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Learning deep features for discriminative localization,
Reference 53
- Resolution
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- raw_fallback, observed 2026-08-14T11:34:27.656828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bfe99d8a-0381-4642-9a24-4762dd7e8ed6 · outbound
This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Grad-cam: Visual explanations from deep networks via gradient-based localization,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:34:27.641360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1bc72050-631f-411f-aff7-3039fcd7361b · outbound
This paper cites A unified approach to interpreting model predictions,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial A unified approach to interpreting model predictions,
Reference 55
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 025d6ccb-f485-4670-ba32-e82c1cefc66a · outbound
This paper cites An unexpected unity among methods for interpreting model predictions.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial An unexpected unity among methods for interpreting model predictions
Reference 56
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 815db376-03c9-4716-9462-d9df7e204a32 · outbound
This paper cites On pixel-wise explanations for non-linear classifier deci- sions by layer-wise relevance propagation,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial On pixel-wise explanations for non-linear classifier deci- sions by layer-wise relevance propagation,
Reference 57
- Resolution
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- raw_fallback, observed 2026-08-14T11:34:27.617040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation db7aabc9-da15-49bb-ac30-a65c5ce7c086 · outbound
This paper cites Deep convolutional neural networks for image classification: A comprehensive review,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Deep convolutional neural networks for image classification: A comprehensive review,
Reference 58
- Resolution
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- raw_fallback, observed 2026-08-14T11:34:27.604495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 333f82fe-9cf3-497a-97c1-c442f959fa50 · outbound
This paper cites Incorporating deep learning with convolutional neural networks and position specific scoring matrices for identifying electron transport proteins,.
Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial Incorporating deep learning with convolutional neural networks and position specific scoring matrices for identifying electron transport proteins,
Reference 59
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.