Paper Citation Record · LEDGER

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge

As of 17 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2509.00437.

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

pith.paper-citation-record.v1
2509.00437 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:38:45.675933Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

19 of 19 outbound references displayed

verified exact1
verified fuzzy15
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16716498-c0aa-4737-b5be-9bfe705428f3 · outbound

This paper cites URL https://huggingface.co/obi/deid_bert_i2b2.

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge URL https://huggingface.co/obi/deid_bert_i2b2

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:38:50.024757Z

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 7fde2482-f3fd-44e3-9fc4-22f7ea86ba88 · outbound

This paper cites Publicly Available Clinical BERT Embeddings.

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge Publicly Available Clinical BERT Embeddings

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T13:38:43.668888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adb1b2e4-07e0-411d-b8ce-bd99c4c99c1d · outbound

This paper cites Free dicom de-identification tools in clinical research: functioning and safety of patient privacy, 2015.

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge Free dicom de-identification tools in clinical research: functioning and safety of patient privacy, 2015

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:38:49.663829Z

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 01ac2911-c287-42d4-a286-df271d274da4 · outbound

This paper cites an unresolved cited work.

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:38:49.433701Z

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 33260784-0803-4268-9906-4ad72d3e05e7 · outbound

This paper cites The role of artificial intelligence and the internet of things in the development of medical radiology (an experimental study on magnetic resonance imaging).

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge The role of artificial intelligence and the internet of things in the development of medical radiology (an experimental study on magnetic resonance imaging)

Reference 5

Resolution: verified exact; raw_fallback, observed 2026-08-05T13:38:45.998301Z

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 93cb7821-466e-4faa-988c-9246f28483bb · outbound

This paper cites Meddisc: A medical de-identification, segmentation & curation tool, 2024.

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge Meddisc: A medical de-identification, segmentation & curation tool, 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:38:49.219599Z

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 f2471986-651f-4c0a-89cc-9366654fe7b6 · outbound

This paper cites Labeled imaging anatomy cases.

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge Labeled imaging anatomy cases

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:38:48.975005Z

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 f343b911-468e-4a22-8fb6-b49730d2d4c9 · outbound

This paper cites Kitwaremedical/dicom-anonymizer: Tool to anonymize dicom files according to the dicom standard, 2023.

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge Kitwaremedical/dicom-anonymizer: Tool to anonymize dicom files according to the dicom standard, 2023

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:38:48.772374Z

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 14e9e12c-fea1-4ceb-a69c-75d0d8353f3d · outbound

This paper cites Anonymizing radiographs using an object detection deep learning algorithm, 2023.

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge Anonymizing radiographs using an object detection deep learning algorithm, 2023

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:38:48.527715Z

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 38b5e08a-109e-437d-9d2f-2d81be32f4b0 · outbound

This paper cites De-identification of clinical free text using natural language processing: A systematic review of current approaches, 2024.

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge De-identification of clinical free text using natural language processing: A systematic review of current approaches, 2024

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:38:48.246836Z

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 2df81699-40ee-430b-8076-2337d89a0077 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T13:38:44.759651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a41c1ed6-d170-4f93-9a6f-35ec738b49cb · outbound

This paper cites Nci workshop addresses current challenges in de-identifying medical images, 2023.

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge Nci workshop addresses current challenges in de-identifying medical images, 2023

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:38:48.006810Z

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 85965ba2-f84c-4bc6-b607-83961f678ec4 · outbound

This paper cites E attribute confidentiality profiles, 2023.

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge E attribute confidentiality profiles, 2023

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:38:47.766727Z

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 137511c3-bd60-45d7-ae26-7dfd164132f3 · outbound

This paper cites Paddleocr/docs/index.en.md at main · paddlepaddle, 2023.

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge Paddleocr/docs/index.en.md at main · paddlepaddle, 2023

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:38:47.489166Z

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 4d508f9a-73e0-49f6-b634-63f007f7f06c · outbound

This paper cites A dicom dataset for evaluation of medical image de-identification.

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge A dicom dataset for evaluation of medical image de-identification

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:38:47.226763Z

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 08bf1a55-de41-44f2-913b-72f17bb88726 · outbound

This paper cites De-identification in medical imaging, 2022.

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge De-identification in medical imaging, 2022

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:38:46.938534Z

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 cfb6feba-9caa-4aa6-a175-0f9734d2d997 · outbound

This paper cites A two-stage de-identification process for privacy-preserving medical image analysis, 2022.

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge A two-stage de-identification process for privacy-preserving medical image analysis, 2022

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:38:46.624482Z

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 579b7685-4573-4642-9f55-bf8dfb63a4a2 · outbound

This paper cites Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/uthealth corpus.

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/uthealth corpus

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:38:46.425330Z

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 7345a7fe-7401-487a-b641-7a9c4464f2b8 · outbound

This paper cites Submission and de-identification overview- cancer imaging archive wiki, 2024.

A Hybrid AI-based and Rule-based Approach to DICOM De-identification: A Solution for the MIDI-B Challenge Submission and de-identification overview- cancer imaging archive wiki, 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:38:46.192074Z

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.