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Paper Citation Record · LEDGER

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology

As of 10 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2508.17216.

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

pith.paper-citation-record.v1
2508.17216 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

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measured 65 of 65 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

65 of 65 outbound references displayed

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External citation measurements

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Outbound references

Observation 9571fc8f-0822-48c5-8961-4e40cf01dea3 · outbound

This paper cites T cell acute lymphoblastic leukemia (t-all): new insights into the cellular origins and infiltration mechanisms common and unique among hematologic malignancies.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology T cell acute lymphoblastic leukemia (t-all): new insights into the cellular origins and infiltration mechanisms common and unique among hematologic malignancies

Reference 1

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Observation 29a73667-a014-4a70-ae7d-cbd004bd8d5a · outbound

This paper cites A hematologist-level deep learning algorithm (bmsnet) for assessing the morphologies of single nuclear balls in bone marrow smears: algorithm development.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A hematologist-level deep learning algorithm (bmsnet) for assessing the morphologies of single nuclear balls in bone marrow smears: algorithm development

Reference 2

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Observation 8a87de7b-cdb6-4d76-8af3-ee77d7ade051 · outbound

This paper cites Timely diagnosis of acute lymphoblastic leukemia using artificial intelligence-oriented deep learning methods.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Timely diagnosis of acute lymphoblastic leukemia using artificial intelligence-oriented deep learning methods

Reference 3

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Observation 883ac39d-cad7-4a96-98e1-32081561520d · outbound

This paper cites Leukemia, lymphoma, and myeloma.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Leukemia, lymphoma, and myeloma

Reference 4

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Observation b3cb727f-d726-459c-9db6-d51cb5bbff73 · outbound

This paper cites Customized deep learning classifier for detection of acute lymphoblastic leukemia using blood smear images.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Customized deep learning classifier for detection of acute lymphoblastic leukemia using blood smear images

Reference 5

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Observation 81217545-4b3b-4e31-9c7d-601fdfabf7d0 · outbound

This paper cites Pattern recognition of acute lymphoblastic leukemia (all) using computational deep learning.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Pattern recognition of acute lymphoblastic leukemia (all) using computational deep learning

Reference 6

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Observation 8662739f-5831-4fe3-b7f7-7adcdf494a55 · outbound

This paper cites a ger, and Joachim Sch \.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology a ger, and Joachim Sch \

Reference 7

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Observation 91065d30-c08c-4cfe-9fbe-17d4f30c5ef3 · outbound

This paper cites Genetic biomarkers and their clinical implications in b-cell acute lymphoblastic leukemia in children.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Genetic biomarkers and their clinical implications in b-cell acute lymphoblastic leukemia in children

Reference 8

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Observation d315eafa-e120-4c41-86cd-7ba69fe606dc · outbound

This paper cites Asparaginase in the treatment of acute lymphoblastic leukemia in adults: Current evidence and place in therapy.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Asparaginase in the treatment of acute lymphoblastic leukemia in adults: Current evidence and place in therapy

Reference 9

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Observation deb7b221-dd8f-428d-966f-2504c3a236a8 · outbound

This paper cites Cancer statistics, 2023.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Cancer statistics, 2023

Reference 10

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Observation 5ccb7604-599a-46e4-a32c-fb13c17cdb97 · outbound

This paper cites Use of car t-cell for acute lymphoblastic leukemia (all) treatment: a review study.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Use of car t-cell for acute lymphoblastic leukemia (all) treatment: a review study

Reference 11

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Observation 4889d509-c504-4910-8c24-b2ab1a70d0b8 · outbound

This paper cites A novel deep learning framework (dlf) for classification of acute lymphoblastic leukemia.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A novel deep learning framework (dlf) for classification of acute lymphoblastic leukemia

Reference 12

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Observation 7ac5d01c-63fc-4922-8c26-2bde41cb20cb · outbound

This paper cites Peripheral bone relapse of paediatric tcf3-hlf positive acute lymphoblastic leukaemia during haematopoietic stem cell transplantation: A case report.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Peripheral bone relapse of paediatric tcf3-hlf positive acute lymphoblastic leukaemia during haematopoietic stem cell transplantation: A case report

Reference 13

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Observation 326768dc-85aa-4ece-959a-1a846a700b6d · outbound

This paper cites Automated detection of b cell and t cell acute lymphoblastic leukaemia using deep learning.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Automated detection of b cell and t cell acute lymphoblastic leukaemia using deep learning

Reference 14

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Observation f86726cd-fce2-44f6-ae3e-e7bd8cf57b1d · outbound

This paper cites Interactions of b-lymphocytes and bone cells in health and disease.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Interactions of b-lymphocytes and bone cells in health and disease

Reference 15

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Observation cb63f033-3080-43a8-8891-d9e47f5a9860 · outbound

This paper cites Flt3 signaling in b lymphocyte development and humoral immunity.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Flt3 signaling in b lymphocyte development and humoral immunity

Reference 16

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Observation ceb7323b-b939-429e-b713-0a052f83eeab · outbound

This paper cites T cell development and t cell receptor structure.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology T cell development and t cell receptor structure

Reference 17

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Observation d5efc1b7-40a0-49c8-b714-5c5d242a87d9 · outbound

This paper cites Comparative features and outcomes between paediatric t-cell and b-cell acute lymphoblastic leukaemia.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Comparative features and outcomes between paediatric t-cell and b-cell acute lymphoblastic leukaemia

Reference 18

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Observation 504063f3-d4ed-4277-ad9b-864d377f42e2 · outbound

This paper cites Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

Reference 19

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This paper cites Deep learning in medical image analysis.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Deep learning in medical image analysis

Reference 20

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Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Unresolved cited work

Reference 21

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Observation a6ecdeae-6432-45a4-9248-ca6ede613490 · outbound

This paper cites A systematic survey of computer-aided diagnosis in medicine: Past and present developments.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A systematic survey of computer-aided diagnosis in medicine: Past and present developments

Reference 22

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Observation d70f21f6-1547-4c06-9559-8c5637f99712 · outbound

This paper cites Redefining radiology: a review of artificial intelligence integration in medical imaging.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Redefining radiology: a review of artificial intelligence integration in medical imaging

Reference 23

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Observation 10fdfbcb-0d30-443d-97d5-c3d7cdb809c1 · outbound

This paper cites A scoping review of transfer learning research on medical image analysis using imagenet.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A scoping review of transfer learning research on medical image analysis using imagenet

Reference 24

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Observation 104e9f5d-d85d-4bd8-a127-85f5066d5557 · outbound

This paper cites Bo-allcnn: Bayesian-based optimized cnn for acute lymphoblastic leukemia detection in microscopic blood smear images.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Bo-allcnn: Bayesian-based optimized cnn for acute lymphoblastic leukemia detection in microscopic blood smear images

Reference 25

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Observation 335f6587-d27d-4991-b875-98143462ffc6 · outbound

This paper cites Mutual information based hybrid model and deep learning for acute lymphocytic leukemia detection in single cell blood smear images.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Mutual information based hybrid model and deep learning for acute lymphocytic leukemia detection in single cell blood smear images

Reference 26

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Observation 3f8f7e0c-df93-4089-b668-0fe31da0d851 · outbound

This paper cites A deep learning-based approach for the diagnosis of acute lymphoblastic leukemia.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A deep learning-based approach for the diagnosis of acute lymphoblastic leukemia

Reference 27

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Observation c790acd2-3044-45c0-8be8-7d7c5592026a · outbound

This paper cites Leukemia diagnosis in blood slides using transfer learning in cnns and svm for classification.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Leukemia diagnosis in blood slides using transfer learning in cnns and svm for classification

Reference 28

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Observation 92ce8637-9019-485d-85f8-01f746de6700 · outbound

This paper cites Development and evaluation of a leukemia diagnosis system using deep learning in real clinical scenarios.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Development and evaluation of a leukemia diagnosis system using deep learning in real clinical scenarios

Reference 29

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Observation f8e00059-5752-4a04-bd78-881e10f031e4 · outbound

This paper cites An aggregated-based deep learning method for leukemic b-lymphoblast classification.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology An aggregated-based deep learning method for leukemic b-lymphoblast classification

Reference 30

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Observation 0bc7297b-bb68-4042-ab80-934482eac5a8 · outbound

This paper cites Method for diagnosis of acute lymphoblastic leukemia based on vit-cnn ensemble model.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Method for diagnosis of acute lymphoblastic leukemia based on vit-cnn ensemble model

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.026778Z digest=sha256:83c04c18a9f302dad522f724ae1d96beed1f7f665ff9c7b952ed69ea9a216957

Observation 4564e35d-08b2-4c1f-93e8-7c0bb4fa7c7d · outbound

This paper cites Acute lymphoblastic leukemia (all) image dataset.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Acute lymphoblastic leukemia (all) image dataset

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.428945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.029212Z digest=sha256:456332724f95560a0ab53dcc5fcccea89b94a4ac4909e8c5c567a0257fe172d5

Observation 120d10a2-3a66-4d94-8633-b1c5caee6ad4 · outbound

This paper cites A review: Data pre-processing and data augmentation techniques.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A review: Data pre-processing and data augmentation techniques

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.421261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.031501Z digest=sha256:c8701075310171b7ef3e97d5aedb7d9d9c70cab2fa4d7ca43b858db5e320d773

Observation 85f0b63f-4c14-4aa1-a1b3-e3f18cef5ae6 · outbound

This paper cites Cnn variants for computer vision: History, architecture, application, challenges and future scope.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Cnn variants for computer vision: History, architecture, application, challenges and future scope

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.413800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.033859Z digest=sha256:4c410ca76a945f3f5f8b717b7e5c14602daac1852a97d11694ff45164a5ff309

Observation 5772b57d-4c17-4e95-83be-8b81bed006ed · outbound

This paper cites Attention-guided deep convolutional neural networks for skin cancer classification.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Attention-guided deep convolutional neural networks for skin cancer classification

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.405877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.036287Z digest=sha256:36ed4f1fed41270983797b45a637fe565b79ac17245719c1af68acf327c9d950

Observation 61c7193f-1018-4aa1-a1bb-a11818ebaac8 · outbound

This paper cites 1-dimensional polynomial neural networks for audio signal related problems.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology 1-dimensional polynomial neural networks for audio signal related problems

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.389220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.038828Z digest=sha256:86c22ed6220a34aad4845f8b5dbf7796fa83f78f5d373f77ff9e91e7069e6225

Observation 31d3ae43-2abf-4f90-b1f7-29218a62d8f0 · outbound

This paper cites A transdisciplinary review of deep learning research and its relevance for water resources scientists.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A transdisciplinary review of deep learning research and its relevance for water resources scientists

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.368647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.041357Z digest=sha256:5c2051fa47b3132293ff36607469bc67482495a9560d307ceed14057669b189e

Observation 3437d904-b864-4a29-a89b-484189171a81 · outbound

This paper cites Transfer learning.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Transfer learning

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.358910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.043750Z digest=sha256:d29dba760351be945d071bc98f1e1fef2fd571fc7e5ce74e53e26647a3bc15a9

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:01:41.151804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.046060Z digest=sha256:803102c3693587837fca0e04bdeaa0ef2bec6b0c47fc2db8df6d3ae59d28d488

Observation b770e967-42d4-4eba-b5b8-047c769ace4c · outbound

This paper cites Training very deep neural networks: Rethinking the role of skip connections.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Training very deep neural networks: Rethinking the role of skip connections

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.351556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.048907Z digest=sha256:1e664bdeb198eca2cfde715d3ceca01e5a5eced8c2e631e0646aa8f5259dbabc

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T17:01:41.051207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:01:41.051207Z digest=sha256:e926feb2d2e5e360ae65978cfceb8242e96fc64644b74c6dced3a90c46e7a4e4

Observation d31b3370-0017-470e-a359-2e8b43edc3d7 · outbound

This paper cites A content-based image retrieval system for the diagnosis of lymphoma using blood micrographs: An incorporation of deep learning with a traditional learning approach.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A content-based image retrieval system for the diagnosis of lymphoma using blood micrographs: An incorporation of deep learning with a traditional learning approach

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.343502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.053959Z digest=sha256:25f0d4a2568cd3aa82e345f4d498dcf4a9a25b94025e4808ceabd9b8b7964054

Observation 38f33d20-1b68-4407-9b76-b8f76eeafcbf · outbound

This paper cites Pyramid graph networks with connection attentions for region-based one-shot semantic segmentation.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Pyramid graph networks with connection attentions for region-based one-shot semantic segmentation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.335470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.056278Z digest=sha256:290beefd9a05f3c4c0354dc1ee62368c4b7d9e012959a45bb12722fd81b3017d

Observation 3a2210a8-75f3-450e-ac5c-d7a0507cef96 · outbound

This paper cites Pruning depthwise separable convolutions for mobilenet compression.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Pruning depthwise separable convolutions for mobilenet compression

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.327856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.058786Z digest=sha256:935545c428a53634e59c398d1a4c6191f687233bbb5d933248d25eacd6470676

Observation 7440a0b4-c096-4c70-a709-87bf023937a8 · outbound

This paper cites A new image classification approach via improved mobilenet models with local receptive field expansion in shallow layers.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A new image classification approach via improved mobilenet models with local receptive field expansion in shallow layers

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.319984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.061171Z digest=sha256:282084c51b457e688ae81e2ab3d6309bcb10e0abe39cd988d7da00d095a9898b

Observation 2ae81b55-1d88-4b95-ab31-8a0f514893d1 · outbound

This paper cites Shunt connection: An intelligent skipping of contiguous blocks for optimizing mobilenet-v2.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Shunt connection: An intelligent skipping of contiguous blocks for optimizing mobilenet-v2

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.311838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.063472Z digest=sha256:dc5b47484edd8efaf3d2db8b9db728c2aa572c30c450faefd935547e9e106a05

Observation 5793156b-fa73-47ad-ac59-038c32eab58a · outbound

This paper cites P2op—plant pathology on palms: A deep learning-based mobile solution for in-field plant disease detection.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology P2op—plant pathology on palms: A deep learning-based mobile solution for in-field plant disease detection

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.303747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.065845Z digest=sha256:3fc9c68c1c6b5eb8aae158b03d40c8db1f6056b5658a6a22de6f835a6f10f472

Observation d530672d-0050-473b-8a1d-3a054a9c8175 · outbound

This paper cites When mobilenetv2 meets transformer: A balanced sheep face recognition model.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology When mobilenetv2 meets transformer: A balanced sheep face recognition model

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.295815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.068221Z digest=sha256:613633ee5e3925659a05fe6caae9d1ad5c7a7803df9f5724a586391002e01660

Observation e3b94f27-31e2-48f3-8144-176522b9856a · outbound

This paper cites Deep learning approach in gregg shorthand word to english-word conversion.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Deep learning approach in gregg shorthand word to english-word conversion

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.287849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.070707Z digest=sha256:7c178e0b1cdde80138827edcd5d52ae94036c1972f1325f3344ff320ffffa3a5

Observation 8eceb04c-bc27-49de-af47-0759db53769e · outbound

This paper cites Convolutional neural network and its pretrained models for image classification and object detection: A survey.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Convolutional neural network and its pretrained models for image classification and object detection: A survey

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.280307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.073049Z digest=sha256:8dd038f9d02b8597e20c96677df8ad64558941c2672180f2893429f5ad0856bf

Observation 03f5ac8b-7af7-4907-abf8-7c8382056a0f · outbound

This paper cites Micro-architecture design exploration template for automl case study on squeezesemauto.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Micro-architecture design exploration template for automl case study on squeezesemauto

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.272551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.075364Z digest=sha256:15a02b200b6be989920d90929e390c79c5d7fe0be939546446abcff78a3db13e

Observation 2aea404c-b356-459a-a533-e3a01bee804e · outbound

This paper cites Image classification based on inception-v3 and a mixture of handcrafted features.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Image classification based on inception-v3 and a mixture of handcrafted features

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.264937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.077935Z digest=sha256:c57510cfefa05a874fddb1578f4b47449f90dcde0fc9ca75f165c030e71e56fe

Observation 9a861a62-de87-4607-beff-87c1fda5f480 · outbound

This paper cites Cnn based fundus images classification for glaucoma identification.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Cnn based fundus images classification for glaucoma identification

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.256753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.080377Z digest=sha256:6469895f6d03cb976a77f25711e21d3d3c4005d140018c2c1fac07eb4493d9c1

Observation e0d49844-d41c-496e-994e-21c7b1de52a2 · outbound

This paper cites Damage detection using in-domain and cross-domain transfer learning.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Damage detection using in-domain and cross-domain transfer learning

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.249044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.082826Z digest=sha256:98765a931c7c3fb58be6bd537c6eb277018051597c19adbb9fe95edb5effd7d0

Observation 95588a99-cd94-4760-9187-50db657cf875 · outbound

This paper cites Towards indoor suctionable object classification and recycling: Developing a lightweight ai model for robot vacuum cleaners.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Towards indoor suctionable object classification and recycling: Developing a lightweight ai model for robot vacuum cleaners

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.241132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.085204Z digest=sha256:b3c220e73ebb9b86188c5519eec9107f9557e5fa69f677ce8aa090a97c5dd4fa

Observation 4df3066d-02d6-4888-b7cd-0570a083d16c · outbound

This paper cites A survey on deep learning in medical image analysis.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology A survey on deep learning in medical image analysis

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.233006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.087710Z digest=sha256:c823d056ff066926ab8545638ec72afe6f350e05b4c7210b8389970ffc52ff73

Observation 26336161-5fbf-4a6b-b803-c8fe32d0872e · outbound

This paper cites Gan-based synthetic medical image augmentation for increased cnn performance in liver lesion classification.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Gan-based synthetic medical image augmentation for increased cnn performance in liver lesion classification

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.225168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.090015Z digest=sha256:7159e6ec381b71299c8ee951626385d5ec70c15b2efaf43366eb089069cb660a

Observation 6709745a-8733-4261-aae5-38c748f7e798 · outbound

This paper cites Diffusion models for medical imaging.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Diffusion models for medical imaging

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.217027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.092512Z digest=sha256:e6b2d530a7536f04e327b65952aa887a4cc8808f9e393f2dd2b14191bce78f0a

Observation 2af16878-c693-47d1-ab09-65002e8e5eee · outbound

This paper cites Big data analytics for preventive medicine.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Big data analytics for preventive medicine

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.208962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.094889Z digest=sha256:f94fc3a252aa3815fb8d002caa09a39d4c1596f879a5ec7f1e7478e1e62dccb3

Observation 24c3026c-b64b-46fd-ad63-a3472e190353 · outbound

This paper cites an unresolved cited work.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:01:41.199767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.097398Z digest=sha256:7d5e61aaa7efb28b6a2bf4254731607664661cfbbc8429dd4b74d46856076fd8

Observation 79d8f7e4-05f7-4a41-8d67-2713d7a99926 · outbound

This paper cites Scalable ai deployment using cloud computing.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Scalable ai deployment using cloud computing

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.191468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.099814Z digest=sha256:9d8dc4ad19fff80370debc07a928a6cf83f67dfc2d2a10172743ca450d6a56d0

Observation d6853d6b-e60a-4ebd-bef6-6eab71e315c9 · outbound

This paper cites Searching for mobilenetv3.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Searching for mobilenetv3

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.183344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.102316Z digest=sha256:e51f7eb647c8ceeaa852ebc5dbad6c6c80b32656a644054c77cd1568c3df9440

Observation 304420ea-0dc5-4546-828a-68c8e8edcded · outbound

This paper cites Opportunities and obstacles for deep learning in biology and medicine.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology Opportunities and obstacles for deep learning in biology and medicine

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.175053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.104758Z digest=sha256:71ca31131c5a2c4e021e336250c17e30949cb361f028e16a93b53633f1963be9

Observation 7d561897-0ef3-478d-94e5-2f9eea2abe8b · outbound

This paper cites What do we need to build explainable ai systems for the medical domain? Journal of Artificial Intelligence Research , 71:593--626, 2021.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology What do we need to build explainable ai systems for the medical domain? Journal of Artificial Intelligence Research , 71:593--626, 2021

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:01:41.166396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T17:01:41.107232Z digest=sha256:fad1163fb53d62d19481d50f0745365ca43c6e163a44a8b9530193bb7dc04eff

Observation 9ec346fd-f623-4c70-84d8-1a5dce5d37eb · outbound

This paper cites write newline.

Deep Learning with Self-Attention and Enhanced Preprocessing for Precise Diagnosis of Acute Lymphoblastic Leukemia from Bone Marrow Smears in Hemato-Oncology write newline

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-05T17:01:41.109595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:01:41.109595Z digest=sha256:f1cf488289cec85e3b0bbadaf027e077a21a8ad50b8bce8c97906275b374a89c

Pith citing papers

No inbound Pith citation observations are available.