Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-24T19:14:23.876610Z
Paper Citation Record · LEDGER
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors
As of 7 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:1907.08303.
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 2026-08-07T06:34:17.273281+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
49 of 49 outbound references displayed
- verified exact3
- verified fuzzy29
- unresolved17
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 12e767f0-8964-4bb6-ac83-5117e9aa7c8d · outbound
This paper cites Abe, et al., Diagnosis of brain tumors using dynamic contrast-enhanced perfusion imaging with short acquisition time, Springer 4 (1) (2015) 88.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Abe, et al., Diagnosis of brain tumors using dynamic contrast-enhanced perfusion imaging with short acquisition time, Springer 4 (1) (2015) 88
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.195836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3033c924-b55a-4893-9856-46443063695b · outbound
This paper cites Aljabar, et al., Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy, NeuroImage 46 (3) (2009) 726 – 738.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Aljabar, et al., Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy, NeuroImage 46 (3) (2009) 726 – 738
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.051561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 52d28196-afa0-4a43-9642-03c54a328ba0 · outbound
This paper cites Bakas, et al., Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features, Scientific data 4 (2017) 1–13.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Bakas, et al., Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features, Scientific data 4 (2017) 1–13
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.171115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cc3716fc-0f8d-46db-bd64-ccbb0b4f6900 · outbound
This paper cites Barata, M.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Barata, M
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.183652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ac24efbf-bc66-4431-ab02-da3ffe230776 · outbound
This paper cites Bauer, et al., Atlas-based segmentation of brain tumor images using a Markov Random Field-based tumor growth model and non-rigid registra- tion, in: Proc.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Bauer, et al., Atlas-based segmentation of brain tumor images using a Markov Random Field-based tumor growth model and non-rigid registra- tion, in: Proc
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.179910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8362fd43-cd21-424f-a902-88b0c0378cd5 · outbound
This paper cites Bjrnerud, K.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Bjrnerud, K
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.154865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8034324e-3046-4119-ab84-993cb257c77d · outbound
This paper cites Chander, A.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Chander, A
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.199610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5aea6327-28c4-4383-a336-6fdeacfaf952 · outbound
This paper cites an unresolved cited work.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Unresolved cited work
Reference 8
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 771ff5e8-af9a-4272-86c6-a790e733a69b · outbound
This paper cites Cuenod, D.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Cuenod, D
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.047630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 02620936-7f33-46c4-b265-07ab4fd1c31f · outbound
This paper cites Dozat, Incorporating Nesterov Momentum into Adam, in: Proc.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Dozat, Incorporating Nesterov Momentum into Adam, in: Proc
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.187571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2a9fafe4-6027-48b3-b228-2fbfad431631 · outbound
This paper cites Fan, et al., A novel unsupervised segmentation method for MR brain images based on fuzzy methods, in: Proc.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Fan, et al., A novel unsupervised segmentation method for MR brain images based on fuzzy methods, in: Proc
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.151156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4d0e5ed0-1494-4615-a722-365229050e97 · outbound
This paper cites Geremia, et al., Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images, NeuroImage 57 (2) (2011) 378 – 390.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Geremia, et al., Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images, NeuroImage 57 (2) (2011) 378 – 390
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.103852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6615dfc4-9ed8-4e4e-8a8a-f5d29daf01a3 · outbound
This paper cites Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T19:14:50.759407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 99674661-fbb1-464e-b52a-d528af409164 · outbound
This paper cites Ghafoorian, et al., Transfer learning for domain adaptation in MRI: application in brain lesion segmentation, in: Proc.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Ghafoorian, et al., Transfer learning for domain adaptation in MRI: application in brain lesion segmentation, in: Proc
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.158921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5742d576-63b7-4f6c-a3ad-17d032d20096 · outbound
This paper cites an unresolved cited work.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Unresolved cited work
Reference 15
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8ed4f02f-38fb-4936-af88-c24f06503ac5 · outbound
This paper cites an unresolved cited work.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Unresolved cited work
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation db7b0780-45d7-45e4-bf18-1b6263d340c5 · outbound
This paper cites Korfiatis, T.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Korfiatis, T
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.115728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation fbb400ae-117f-4e11-a751-8cc62ab9789f · outbound
This paper cites Ladgham, G.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Ladgham, G
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.131649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 31ea5fd7-be20-4beb-8536-702cac1b3136 · outbound
This paper cites Liskowski, K.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Liskowski, K
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.128087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 28dd550f-65b2-4227-8952-4cb761bd602b · outbound
This paper cites an unresolved cited work.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Unresolved cited work
Reference 20
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9a56815d-ab33-46dd-aa60-df49b757e822 · outbound
This paper cites an unresolved cited work.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Unresolved cited work
Reference 21
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7a65243e-ec2d-4d0a-a106-c0d2a50785e0 · outbound
This paper cites an unresolved cited work.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Unresolved cited work
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d28b94e8-310c-4183-9ca2-641cce045d13 · outbound
This paper cites an unresolved cited work.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-05-24T19:14:51.100167Z
Source-reported events for the cited work
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Observation c164298e-20e2-4f34-b3a6-7459878d3b29 · outbound
This paper cites Moeskops, et al., Automatic segmentation of MR brain images with a convolutional neural network, IEEE Transactions on Medical Imaging 35 (5) (2016) 1252–1261.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Moeskops, et al., Automatic segmentation of MR brain images with a convolutional neural network, IEEE Transactions on Medical Imaging 35 (5) (2016) 1252–1261
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c234d94e-540a-4db6-b2cb-a77782ee63ad · outbound
This paper cites Nalepa, M.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Nalepa, M
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.139228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 11fdbf45-99f2-4365-ac4b-c7d106e79c04 · outbound
This paper cites Nalepa, M.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Nalepa, M
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.096573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 23a63483-8b5a-494f-998c-0e3a1781031b · outbound
This paper cites an unresolved cited work.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-05-24T19:14:51.066715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7f6a3d0c-2076-41fe-b0df-5c9950034c8a · outbound
This paper cites an unresolved cited work.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Unresolved cited work
Reference 28
- Resolution
- unresolved
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Source-reported events for the cited work
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Observation f065ec49-2745-4813-b049-bfa52d6bafde · outbound
This paper cites Passat, et al., Watershed and multimodal data for brain vessel seg- mentation: Application to the superior sagittal sinus, Image and Vision Computing 25 (4) (2007) 512 – 521.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Passat, et al., Watershed and multimodal data for brain vessel seg- mentation: Application to the superior sagittal sinus, Image and Vision Computing 25 (4) (2007) 512 – 521
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation bb37ad13-7836-4011-b323-18ea92e260d0 · outbound
This paper cites Pinto, S.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Pinto, S
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.059208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 836c6715-54f5-450c-acea-63af2a8fccf1 · outbound
This paper cites Pipitone, et al., Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates, NeuroImage 101 (2014) 494 – 512.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Pipitone, et al., Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates, NeuroImage 101 (2014) 494 – 512
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3e9d3acf-ba32-48f9-b9d2-562a434250f0 · outbound
This paper cites an unresolved cited work.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Unresolved cited work
Reference 32
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 06dbdf1f-88ad-4f38-8e36-b555edbba2b8 · outbound
This paper cites Rajendran, R.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Rajendran, R
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.162371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b019261f-94d3-4e40-9bc2-dc2061ef7c62 · outbound
This paper cites Rezaei, K.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Rezaei, K
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.202714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c17edb53-e790-4684-ab6a-eb17f986bb6a · outbound
This paper cites an unresolved cited work.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Unresolved cited work
Reference 35
- Resolution
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Source-reported events for the cited work
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Observation 9565bc8e-657c-4c48-819f-946192008fe2 · outbound
This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors U-Net: Convolutional Networks for Biomedical Image Segmentation
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T19:14:50.771985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2cdd50ac-2199-442f-8c14-63e7e648283f · outbound
This paper cites an unresolved cited work.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Unresolved cited work
Reference 37
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6df484cb-254f-4178-bc87-5cdc0dca5a09 · outbound
This paper cites an unresolved cited work.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-05-24T19:14:51.205775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2846fcf1-59d7-487d-9f15-57d46676a614 · outbound
This paper cites an unresolved cited work.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-05-24T19:14:51.107771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 010be699-1cdd-41a5-b87e-d3389564f914 · outbound
This paper cites Soltaninejad, et al., Automated brain tumour detection and segmen- tation using superpixel-based extremely randomized trees in FLAIR MRI, Int.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Soltaninejad, et al., Automated brain tumour detection and segmen- tation using superpixel-based extremely randomized trees in FLAIR MRI, Int
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.111849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9ee2b9c3-ce7f-40c5-81c3-fb32430bb0f1 · outbound
This paper cites an unresolved cited work.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-05-24T19:14:51.089455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 86e5e640-8e6e-4b86-8524-435e92e333a3 · outbound
This paper cites Taherdangkoo, et al., An effective method for segmentation of MR brain images using the ant colony optimization algorithm, Journal of Digital Imaging 26 (6) (2013) 1116–1123.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Taherdangkoo, et al., An effective method for segmentation of MR brain images using the ant colony optimization algorithm, Journal of Digital Imaging 26 (6) (2013) 1116–1123
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.119735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f06fb0bf-c1d2-4ef9-b265-3d443e23338b · outbound
This paper cites an unresolved cited work.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-05-24T19:14:51.093026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b6812244-2e07-4925-b24a-8f9b983d1c07 · outbound
This paper cites Verma, M.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Verma, M
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.055527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a9f7e5a2-37a9-4a6f-a2c7-8c20b66fce10 · outbound
This paper cites Wu, et al., Brain tumor detection and segmentation in a CRF frame- work with pixel-pairwise affinity and superpixel-level features, Int.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Wu, et al., Brain tumor detection and segmentation in a CRF frame- work with pixel-pairwise affinity and superpixel-level features, Int
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.070852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d12a55db-9e89-48f2-8ca3-1c7e1cf6c073 · outbound
This paper cites an unresolved cited work.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-05-24T19:14:51.210223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ccaec9a8-2384-452b-bc56-7c5ddf5acf22 · outbound
This paper cites A deep learning model integrating FCNNs and CRFs for brain tumor segmentation.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T19:14:50.765878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ff2a9396-7a39-46ac-ad32-854ae64e273a · outbound
This paper cites Zhuge, A.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Zhuge, A
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.217717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 60cc0717-e1a4-4db9-a133-0e855e449283 · outbound
This paper cites Zikic, B.
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors Zikic, B
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T19:14:51.221286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
No inbound Pith citation observations are available.