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Paper Citation Record · LEDGER

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information

As of 16 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:1908.01901.

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

pith.paper-citation-record.v1
1908.01901 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:06:19.503284Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation 79f6e2e7-b399-42fe-b171-1879e9827b4b · outbound

This paper cites World malaria report 2018.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information World malaria report 2018

Reference 1

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Observation de82e2e5-31e6-4d89-b43c-06e421bcdc90 · outbound

This paper cites an unresolved cited work.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Unresolved cited work

Reference 2

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Observation 7f595611-4df7-4f8b-937b-a5fb0349c381 · outbound

This paper cites Lack of knowledge regard- ing the microscopic diagnosis of malaria by technicians of the laboratory network in Luanda, Angola.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Lack of knowledge regard- ing the microscopic diagnosis of malaria by technicians of the laboratory network in Luanda, Angola

Reference 3

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Observation b41eb9e1-4efd-48c1-9322-d2ec266cbd95 · outbound

This paper cites Mi- croscopy and outpatient malaria case management among older children and adults in Kenya.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Mi- croscopy and outpatient malaria case management among older children and adults in Kenya

Reference 4

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Source-reported events for the cited work

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Observation 93bcc863-ce17-470f-a354-61b677a33be7 · outbound

This paper cites Basic Malaria Microscopy: Tutor’s guide.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Basic Malaria Microscopy: Tutor’s guide

Reference 5

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Observation 9d9cbe1e-8ea1-42ff-954c-817969c3fb22 · outbound

This paper cites Mehanian, et al., ”Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks”, CVPR, 2017.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Mehanian, et al., ”Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks”, CVPR, 2017

Reference 6

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Observation d2602893-efb9-4eea-b244-89409a9963d6 · outbound

This paper cites Garnham, ”Malaria parasites and other haemosporidia”, Black- well Scientific Publications Ltd., 1966.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Garnham, ”Malaria parasites and other haemosporidia”, Black- well Scientific Publications Ltd., 1966

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6afa4b2f-5f7a-4386-9691-e8303d96b1df · outbound

This paper cites Supplementary Information for ‘Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images’.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Supplementary Information for ‘Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images’

Reference 8

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Observation bd5a0d54-6fcc-48bf-8b05-ee36397e71a2 · outbound

This paper cites Image analysis and machine learning for detecting malaria.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Image analysis and machine learning for detecting malaria

Reference 9

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Observation 12f7a88a-d062-497f-bd5f-843f67b5976b · outbound

This paper cites Koller and Y.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Koller and Y

Reference 10

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Observation 5c8f8699-c868-49d2-8908-09292f1c7305 · outbound

This paper cites an unresolved cited work.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Unresolved cited work

Reference 11

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Observation 60831daa-2b6f-49dc-b95d-0c9da57aacb1 · outbound

This paper cites Computer vision for microscopy diagnosis of malaria.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Computer vision for microscopy diagnosis of malaria

Reference 12

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 37cf29bf-c362-4602-a900-c04e81329b9e · outbound

This paper cites A malaria diagnostic tool based on computer vision screening and visualization of Plasmodium falciparum candidate areas in digitized blood smears.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information A malaria diagnostic tool based on computer vision screening and visualization of Plasmodium falciparum candidate areas in digitized blood smears

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 323cdddd-a80c-4c70-aae0-6007289b7748 · outbound

This paper cites Automated status identification of microscopic images obtained from malaria thin blood smears using bayes decision: A study case in Plasmodium falciparum.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Automated status identification of microscopic images obtained from malaria thin blood smears using bayes decision: A study case in Plasmodium falciparum

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 256b620b-350f-4396-b52f-419afad323a7 · outbound

This paper cites an unresolved cited work.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 062ab180-b118-4c1b-9960-81e8786d0029 · outbound

This paper cites Abbas, et al., ”Machine aided malaria parasitemia detection in Giemsa-stained thin blood smears”, Neural Comp & Application, 2018.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Abbas, et al., ”Machine aided malaria parasitemia detection in Giemsa-stained thin blood smears”, Neural Comp & Application, 2018

Reference 16

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Observation dae5d1fd-7102-4bdf-bf17-3d0ac5d3b3a3 · outbound

This paper cites Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology

Reference 17

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Observation 82536951-859f-42cd-847c-efb7864377b1 · outbound

This paper cites an unresolved cited work.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Unresolved cited work

Reference 18

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Observation 6bedebc8-3b43-4161-8be2-d51533789233 · outbound

This paper cites an unresolved cited work.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Unresolved cited work

Reference 19

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Observation 2ea8398e-2596-4c2d-bc68-608cf6bc59f7 · outbound

This paper cites an unresolved cited work.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Unresolved cited work

Reference 20

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Observation 5d64b0cb-d663-4c9d-8908-e9e3ad61094b · outbound

This paper cites Ren, et al., ”Faster R-CNN: Towards real-time object detection with region proposal networks”, Adv Neural Inf Process Syst , 2015.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Ren, et al., ”Faster R-CNN: Towards real-time object detection with region proposal networks”, Adv Neural Inf Process Syst , 2015

Reference 21

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Observation d1f28a63-4867-4ea4-af31-0bb37c4e3786 · outbound

This paper cites Liu, et al., ”SSD: Single shot multibox detector”, ECCV , 2016.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Liu, et al., ”SSD: Single shot multibox detector”, ECCV , 2016

Reference 22

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Source-reported events for the cited work

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Observation 2e282482-6f44-46b3-a67b-e5f9a183d1a3 · outbound

This paper cites Redmon, et al., ”You only look once: Unified, real-time object detection”, CVPR, 2016.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Redmon, et al., ”You only look once: Unified, real-time object detection”, CVPR, 2016

Reference 23

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7f1cbfdc-1035-42de-89b6-c52d6dc4b51c · outbound

This paper cites Pertuz, D.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Pertuz, D

Reference 24

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Observation 04f0c561-3cca-40f0-8dad-a6c3b50c9235 · outbound

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Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Unresolved cited work

Reference 25

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Observation 1bfed5e8-3c34-483f-984b-f40a3048090b · outbound

This paper cites an unresolved cited work.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Unresolved cited work

Reference 26

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This paper cites Chen and C.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Chen and C

Reference 27

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 065b15b7-9627-47fe-81b3-aa636811d2dd · outbound

This paper cites an unresolved cited work.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Unresolved cited work

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ee573085-b7ea-4c51-b137-281b55b0765f · outbound

This paper cites LeCun, Y.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information LeCun, Y

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 93972889-7d5f-4e92-9e89-3c15c8688f75 · outbound

This paper cites Litjens, et al., ”A survey on deep learning in medical image analysis”, Med Image Analysis, 2017.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Litjens, et al., ”A survey on deep learning in medical image analysis”, Med Image Analysis, 2017

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 663cf974-fad5-4423-8d75-c9bda4173035 · outbound

This paper cites Russakovsky, et al., ”ImageNet Large Scale Visual Recognition Competition”, International Journal of Computer Vision, 2015.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Russakovsky, et al., ”ImageNet Large Scale Visual Recognition Competition”, International Journal of Computer Vision, 2015

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a9f7edb2-2962-4f38-b5b2-17f3712ad006 · outbound

This paper cites Szegedy, et al., ”Going Deeper with Convolutions”, CVPR, 2015.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Szegedy, et al., ”Going Deeper with Convolutions”, CVPR, 2015

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 91210f17-8aac-4e16-a43a-d2b2522857fe · outbound

This paper cites Striving for Simplicity: The All Convolutional Net.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Striving for Simplicity: The All Convolutional Net

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3dc4d418-8ee6-4b7b-9435-d014c2699f2f · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 34

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unresolved
no resolver link, observed 2026-08-14T15:06:19.470305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:06:19.470305Z digest=sha256:a8a6d528fab4d392bdad740ee91f40d58f545990054e48b6621c03012bf98583

Observation 51548f2f-5b01-4488-885a-0769e9f646f7 · outbound

This paper cites Jia, et al., ”Caffe: Convolutional architecture for fast feature embed- ding”, Proc ACM Intern’l Conf Multimedia, 2014.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Jia, et al., ”Caffe: Convolutional architecture for fast feature embed- ding”, Proc ACM Intern’l Conf Multimedia, 2014

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-14T15:06:19.671162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation eeef5698-7631-4c43-8e0f-6f7aa298799d · outbound

This paper cites Glorot and Y.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Glorot and Y

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-14T15:06:19.658087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8e7bada8-e695-42db-9eac-619fda3e3688 · outbound

This paper cites Epidemiology of malaria in endemic areas.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Epidemiology of malaria in endemic areas

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:06:19.646738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:06:19.480873Z digest=sha256:bed9bc7fff824b709509d3ad13cdb6572d6fa9ac889cefac973c7a7142ae2180

Observation b39b3c4f-9bec-4fb3-bfd6-5b0959378ba9 · outbound

This paper cites Haralick, K.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Haralick, K

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-14T15:06:19.633977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:06:19.484391Z digest=sha256:ef9e3c6d0dfe6bcae8fffc8459207be1f75f24cdaa0b8df98a570ec0866c21df

Observation a4539a1a-c646-4ce7-993c-ab46198c1ac7 · outbound

This paper cites Yosinski, J.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Yosinski, J

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-14T15:06:19.620255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:06:19.488411Z digest=sha256:f7b23bad2e5617ff5595484f6e99819a3c25c8ee7084a60e1a7b6452fd1882c5

Observation 0aaab730-dfd1-40a8-b16c-7bbd8e5613e6 · outbound

This paper cites Malaria Microscopy Quality Assurance Manual - Ver2.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Malaria Microscopy Quality Assurance Manual - Ver2

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-14T15:06:19.607262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:06:19.491855Z digest=sha256:542718ea2eba91578717fbbf2dced2249deb22bf6241ca04b0f5dffafa025469

Observation c1238b68-f4d6-4918-b1af-4f663f64a83a · outbound

This paper cites Dhorda, WW ARN, Private Communication.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Dhorda, WW ARN, Private Communication

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:06:19.594119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:06:19.495906Z digest=sha256:ec885b425600454f206cc4c376573feef9b00a8b8fbb64fa266bf65ec7c963d9

Observation 4d9a4653-3b80-4f55-b463-5d08cec7dee6 · outbound

This paper cites White, ”The parasite clearance curve”, Malaria J, 2011.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information White, ”The parasite clearance curve”, Malaria J, 2011

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:06:19.582266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:06:19.499619Z digest=sha256:673f5656d0151a999435223a038054ad4f8332118dd5dc53d0615f4e5b5ca087

Observation e798da76-6498-41c6-af92-cdf8b4d195e2 · outbound

This paper cites Automated microscopy for routine malaria diagnosis: a field comparison on Giemsa-stained blood films in Peru.

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information Automated microscopy for routine malaria diagnosis: a field comparison on Giemsa-stained blood films in Peru

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:06:19.570583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:06:19.503284Z digest=sha256:33607bb160fa6e816485684896a5c271590bc5ca282e879f1d6c111b646bbbb6

Pith citing papers

No inbound Pith citation observations are available.