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Paper Citation Record · LEDGER

Deep Brain Net: An Optimized Deep Learning Model for Brain tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning

As of 18 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2507.07011.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.07011 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:53:05.326157Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

  • verified exact7
  • verified fuzzy3
  • unresolved0
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 80eca57c-47d5-4687-a640-a8227df06711 · outbound

This paper cites MRI brain tumour detection us- ing deep learning and machine learning ap- proaches.

Deep Brain Net: An Optimized Deep Learning Model for Brain tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning MRI brain tumour detection us- ing deep learning and machine learning ap- proaches

Reference 1

Resolution
verified exact
doi, observed 2026-08-06T18:53:06.393874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fe5f345b-bf49-43f8-ba9c-2c70b1b4cda8 · outbound

This paper cites Employing deep learn- ing and transfer learning for accurate brain tumour detection.

Deep Brain Net: An Optimized Deep Learning Model for Brain tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning Employing deep learn- ing and transfer learning for accurate brain tumour detection

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:53:07.051312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T18:53:04.510224Z digest=sha256:4d580c2053dd5afd36dd6559dc524320f4faa9b8305ea59a95ff00628fbe5d51

Observation 7d612fa8-1609-47fc-9c4b-ff884d705a87 · outbound

This paper cites Brain tumour detection from images and compar- ison with transfer learning methods and 3- layer CNN.

Deep Brain Net: An Optimized Deep Learning Model for Brain tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning Brain tumour detection from images and compar- ison with transfer learning methods and 3- layer CNN

Reference 3

Resolution
verified exact
doi, observed 2026-08-06T18:53:06.286706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T18:53:04.588741Z digest=sha256:06019da5cd55b806bdbeaa272d770c6d036dc4e93f384c6f36cad2b159db1fde

Observation 20d56169-bd1a-48ba-97e8-80dbfa16b064 · outbound

This paper cites Brain tumor multi classification and segmentation in MRI images using deep learning.

Deep Brain Net: An Optimized Deep Learning Model for Brain tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning Brain tumor multi classification and segmentation in MRI images using deep learning

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:53:06.104534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T18:53:04.648294Z digest=sha256:8bb5a7f4c86660b3121b8380775006fdc85bd963effaffbb6b16b0519cef0d4a

Observation 6534efdf-4a6c-40e6-8ca5-0a18ea7cc57f · outbound

This paper cites Enhancing brain tumour classification in MRI scans with a multi-layer customized convolutional neural network ap- proach.

Deep Brain Net: An Optimized Deep Learning Model for Brain tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning Enhancing brain tumour classification in MRI scans with a multi-layer customized convolutional neural network ap- proach

Reference 5

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T18:53:06.755605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T18:53:04.710932Z digest=sha256:64a08fd839b50aae85719ec59fb11302d388ba7172245b9eae6e21e844746304

Observation e7707e9a-2bb3-408b-a68e-5c6e264775fc · outbound

This paper cites Automated brain tumour iden- tification in biomedical radiology images: A multi-model ensemble deep learning approach.

Deep Brain Net: An Optimized Deep Learning Model for Brain tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning Automated brain tumour iden- tification in biomedical radiology images: A multi-model ensemble deep learning approach

Reference 6

Resolution
verified exact
doi, observed 2026-08-06T18:53:05.963359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T18:53:04.775162Z digest=sha256:7feb71d88669a333b612699cd5dc130902a192b2b6ea2a9843d9f325431f37d5

Observation aea485a2-5820-4e78-92de-747a16595148 · outbound

This paper cites Realization of the contrast limited adaptive histogram equalization (CLAHE) for real-time image enhancement.

Deep Brain Net: An Optimized Deep Learning Model for Brain tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning Realization of the contrast limited adaptive histogram equalization (CLAHE) for real-time image enhancement

Reference 7

Resolution
verified exact
raw_fallback, observed 2026-08-06T18:53:06.550953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T18:53:04.843551Z digest=sha256:18aa04d4b219f3b58a98c41782bb7829ecbffee4e62d7d1a638a89ceb35fbc69

Observation fabfeebd-e664-4bf5-9131-122228142a79 · outbound

This paper cites A review of histogram equalization techniques in image enhancement application.

Deep Brain Net: An Optimized Deep Learning Model for Brain tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning A review of histogram equalization techniques in image enhancement application

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:53:06.949805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T18:53:04.910454Z digest=sha256:7e67ab665f6aadd630ab90589a1a888748ea953657746318ad256fd5a2c13cb2

Observation 88ca404c-fed0-4e33-bda7-2be4a2b206b0 · outbound

This paper cites Comparison of Fuzzy C-Means, Fuzzy Kernel C-Means, and Fuzzy Kernel Robust C-Means to Classify Thalassemia Data.

Deep Brain Net: An Optimized Deep Learning Model for Brain tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning Comparison of Fuzzy C-Means, Fuzzy Kernel C-Means, and Fuzzy Kernel Robust C-Means to Classify Thalassemia Data

Reference 9

Resolution
malformed identifier
doi_truncated, observed 2026-08-06T18:53:05.837883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T18:53:05.028728Z digest=sha256:6b2b70c226492afdd2356c465abd8df7e92e5714738f3c9df9be8da999e6d86e

Observation c281d2df-efdc-448f-be2c-22a86ebf404e · outbound

This paper cites Un- supervised Multiview Fuzzy C-Means Cluster- ing Algorithm.

Deep Brain Net: An Optimized Deep Learning Model for Brain tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning Un- supervised Multiview Fuzzy C-Means Cluster- ing Algorithm

Reference 10

Resolution
verified exact
doi, observed 2026-08-06T18:53:05.685435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T18:53:05.143981Z digest=sha256:ae216080ce4510382773bf30c67e9960492161b12f33dd276e1d6a926774b6e6

Observation 9acda34d-b571-4c21-a2e5-f6e16b54cf51 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neu- ral networks.

Deep Brain Net: An Optimized Deep Learning Model for Brain tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning Efficientnet: Rethinking model scaling for convolutional neu- ral networks

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:53:06.859466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T18:53:05.221750Z digest=sha256:b3758dac7766f101e846f27bbe8720b9e5c09b7cc8d735d567080575bffee4c4

Observation 6198ca2a-49a6-4cb9-8c9e-45014363d8e3 · outbound

This paper cites Potato Leaf Disease De- tection and Classification Using VGG16.

Deep Brain Net: An Optimized Deep Learning Model for Brain tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning Potato Leaf Disease De- tection and Classification Using VGG16

Reference 12

Resolution
verified exact
doi, observed 2026-08-06T18:53:05.564806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T18:53:05.326157Z digest=sha256:5e559751e55d95e524a67c361bd10b0e16bc919517bdc0b304dd5c500488d592

Pith citing papers

No inbound Pith citation observations are available.