Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer | Paper Citation Record

Observation 259f3e77-39e0-4d50-bed5-b1844b47e4a9 · outbound

This paper cites an unresolved cited work.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:33:45.779659Z

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 ad444877-4057-4cbb-ab4e-d9febe27536f · outbound

This paper cites Alternatively, clients communicate some Parameter-Independent Messages (PIM) with the server for knowledge sharing, such as prototypes and feature covariates.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Alternatively, clients communicate some Parameter-Independent Messages (PIM) with the server for knowledge sharing, such as prototypes and feature covariates

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:45.664468Z

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 ae3ea6ba-de10-46f2-a6e4-fed5b0c0c890 · outbound

This paper cites Enmao Diao, Jie Ding, and Vahid Tarokh.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Enmao Diao, Jie Ding, and Vahid Tarokh

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T05:33:37.571890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9a36c49-cc49-498f-b4e8-c67f1c842160 · outbound

This paper cites Dinh, Nguyen H.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Dinh, Nguyen H

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:49.139628Z

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 af00618b-68b7-492e-9b82-b861c3b40b5e · outbound

This paper cites A guide to convolution arithmetic for deep learning.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer A guide to convolution arithmetic for deep learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T05:33:37.879651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3d4b9a9-c389-4c75-87fc-e63fc64f7900 · outbound

This paper cites Deep residual learning for image recog- nition.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Deep residual learning for image recog- nition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:48.807275Z

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 c47f7a1a-18a5-4ddf-bbd1-89f3bee97e52 · outbound

This paper cites Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T05:33:38.579348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d568d7d1-df84-48d7-9ece-1dfb0bd76e8c · outbound

This paper cites Towards understanding biased client selection in federated learning.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Towards understanding biased client selection in federated learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:48.547282Z

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 bc5b196d-b7e4-4a04-bcdd-d6ccaecd0442 · outbound

This paper cites Model pruning enables efficient federated learning on edge devices.IEEE Transactions on Neural Networks and Learning Systems,.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Model pruning enables efficient federated learning on edge devices.IEEE Transactions on Neural Networks and Learning Systems,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:48.388062Z

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 1626fa4b-c5ab-4de7-aa13-4ee0a3128a4f · outbound

This paper cites SCAFFOLD: Stochastic controlled averaging for federated learning.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer SCAFFOLD: Stochastic controlled averaging for federated learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:48.249200Z

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 57e50075-f6d3-4fed-b19a-f7ce547f2991 · outbound

This paper cites DepthFL : Depthwise federated learning for heterogeneous clients.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer DepthFL : Depthwise federated learning for heterogeneous clients

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:48.072831Z

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 2ef5fc91-c734-4bc0-a848-3b264acd0f28 · outbound

This paper cites Auto-Encoding Variational Bayes.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Auto-Encoding Variational Bayes

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T05:33:39.436570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a212164-63e4-45b9-a13b-1d148c7c1299 · outbound

This paper cites FedMD: Heterogenous Federated Learning via Model Distillation.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer FedMD: Heterogenous Federated Learning via Model Distillation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T05:33:39.913013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4413e842-dab3-413e-aea5-6eae5f5d5958 · outbound

This paper cites No fear of heterogene- ity: Classifier calibration for federated learning with non-IID data.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer No fear of heterogene- ity: Classifier calibration for federated learning with non-IID data

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:47.580447Z

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 c71688ee-3332-401e-b503-9580ba6fecf7 · outbound

This paper cites Personalized federated learning via feature distribution adaptation.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Personalized federated learning via feature distribution adaptation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:47.472813Z

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 53476fc0-9226-4bc7-bf8e-030c0c0023ba · outbound

This paper cites Duy Phuong Nguyen, Sixing Yu, J.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Duy Phuong Nguyen, Sixing Yu, J

Reference 25

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T05:33:44.843084Z

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 a88d2b38-e8b5-43c1-939b-5c1a3bea79ea · outbound

This paper cites doi: 10.1145/3624062.3626325.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer doi: 10.1145/3624062.3626325

Reference 26

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T05:33:44.596699Z

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 38676d15-4ffd-4672-ad81-8883968b5f65 · outbound

This paper cites an unresolved cited work.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T05:33:40.877928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 279b0a99-3a74-4e64-a186-161b315b03a9 · outbound

This paper cites Nalavala Partheswar Reddy, Shaik Khaja Hassain, P Baraneedharan, and Shaik Abdul Rahman.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Nalavala Partheswar Reddy, Shaik Khaja Hassain, P Baraneedharan, and Shaik Abdul Rahman

Reference 29

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T05:33:44.262870Z

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 0554820f-f6e4-40c0-bc9a-72bb4d128482 · outbound

This paper cites Himadri Nath Saha, Supratim Auddy, Subrata Pal, Shubham Kumar, Shivesh Pandey, Rocky Singh, Amrendra Kumar Singh, Priyanshu Sharan, Debmalya Ghosh, and Sanhita Saha.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Himadri Nath Saha, Supratim Auddy, Subrata Pal, Shubham Kumar, Shivesh Pandey, Rocky Singh, Amrendra Kumar Singh, Priyanshu Sharan, Debmalya Ghosh, and Sanhita Saha

Reference 30

Resolution: verified exact; raw_fallback, observed 2026-08-06T05:33:44.050854Z

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 3658a54e-972a-4f30-a2e9-04e11e125f08 · outbound

This paper cites Felix Sattler, Tim Korjakow, Roman Rischke, and Wojciech Samek.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Felix Sattler, Tim Korjakow, Roman Rischke, and Wojciech Samek

Reference 31

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T05:33:43.840729Z

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 3ebf0ae6-77da-4211-b5f5-1e1a4f95aabb · outbound

This paper cites 13 Published as a conference paper at ICLR 2026 Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi, and Ameet S Talwalkar.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer 13 Published as a conference paper at ICLR 2026 Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi, and Ameet S Talwalkar

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:47.338375Z

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 9d134637-1a49-4ba7-8ff3-4db6e3204a26 · outbound

This paper cites Phoenix: A federated generative diffusion model.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Phoenix: A federated generative diffusion model

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:47.236843Z

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 863ea4a2-ec21-460b-bc0f-b8098e397928 · outbound

This paper cites Robustfed: A truth inference approach for robust federated learning.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Robustfed: A truth inference approach for robust federated learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:47.117978Z

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 275ac6d7-0469-4f6c-a1f8-1eb5e59c8244 · outbound

This paper cites Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, and Chengqi Zhang.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, and Chengqi Zhang

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:46.972231Z

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 85aa8f7e-b5f9-4cac-b816-7ba1a9b3e918 · outbound

This paper cites Bridging model heterogeneity in federated learning via uncertainty-based asymmetrical reciprocity learn- ing.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Bridging model heterogeneity in federated learning via uncertainty-based asymmetrical reciprocity learn- ing

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:46.827575Z

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 69710fa1-c5b3-485b-af38-828d3a6614ea · outbound

This paper cites Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu, and Xiaoxiao Li.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu, and Xiaoxiao Li

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:46.713126Z

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 91c14261-f9dc-416d-a163-a00ede273957 · outbound

This paper cites Fedtgp: Trainable global prototypes with adaptive-margin-enhanced contrastive learning for data and model heterogeneity in federated learning.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Fedtgp: Trainable global prototypes with adaptive-margin-enhanced contrastive learning for data and model heterogeneity in federated learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:46.584117Z

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 307f3d44-a917-4171-93eb-b1c69673c448 · outbound

This paper cites Fed-CBS: A heterogeneity-aware client sampling mechanism for federated learning via class-imbalance reduction.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Fed-CBS: A heterogeneity-aware client sampling mechanism for federated learning via class-imbalance reduction

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:46.433431Z

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 507881e9-65af-4bc2-9bab-3e9df186109e · outbound

This paper cites Improved distribution matching for dataset condensation.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Improved distribution matching for dataset condensation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:46.288697Z

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 8587cf2a-6dba-475e-bd40-8b4fe23d2b0d · outbound

This paper cites Data-free knowledge distillation for heterogeneous federated learning.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Data-free knowledge distillation for heterogeneous federated learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:46.145595Z

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 4c800272-4810-4408-b083-229e8c52a6a7 · outbound

This paper cites an unresolved cited work.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:33:45.999249Z

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 df06d90a-3cd0-466d-ba51-198e2f030b20 · outbound

This paper cites (Jiang et al., 2023; Li et al., 2021a; Jiang et al.,.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer (Jiang et al., 2023; Li et al., 2021a; Jiang et al.,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:45.880413Z

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 46e97c69-e2ba-4a11-bb01-82209be835f8 · outbound

This paper cites Despite this, we additionally tune�on the MNIST dataset to study the impact of different�values.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Despite this, we additionally tune�on the MNIST dataset to study the impact of different�values

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:45.509604Z

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 bd97a6a9-1136-4b0b-bd42-c7fecc42048f · outbound

This paper cites Ang Li, Jingwei Sun, Pengcheng Li, Yu Pu, Hai Li, and Yiran Chen.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Ang Li, Jingwei Sun, Pengcheng Li, Yu Pu, Hai Li, and Yiran Chen

Reference 1998

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:47.732077Z

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 cdfb9747-4a70-4a60-83b3-b236f9a44137 · outbound

This paper cites Madhyastha, and Mosharaf Chowdhury.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Madhyastha, and Mosharaf Chowdhury

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:47.916591Z

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 4490c135-bbef-4832-ba12-f71408d031e9 · outbound

This paper cites Feddc: Federated learning with non-iid data via local drift decoupling and correction.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Feddc: Federated learning with non-iid data via local drift decoupling and correction

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:48.960149Z

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 6ae37bf1-6412-46bd-b258-1d912a2040d0 · outbound

This paper cites ISBN 9781510860964.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer ISBN 9781510860964

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:48.683432Z

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 6875b52e-9d65-468f-9da9-5235e344bc70 · outbound

This paper cites FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T05:33:36.954080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60fad88a-e755-47fc-8599-b6fc0005eb77 · outbound

This paper cites Learning to Detect Malicious Clients for Robust Federated Learning.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Learning to Detect Malicious Clients for Robust Federated Learning

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T05:33:40.068366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b1826b9-3b38-46c2-ae9c-0076d9a0f774 · outbound

This paper cites Ex- planatory object part aggregation for zero-shot learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(2):851–868,.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Ex- planatory object part aggregation for zero-shot learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(2):851–868,

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:49.261809Z

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 8d0003fa-eaa3-4865-9615-018c0612f8c2 · outbound

This paper cites Fedrolex: model-heterogeneous federated learning with rolling sub-model extraction.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Fedrolex: model-heterogeneous federated learning with rolling sub-model extraction

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:33:49.390482Z

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 c1b0a515-b1e4-4b42-9f07-aad493d9ba91 · outbound

This paper cites A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T05:33:37.406961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07c92988-0a9f-47da-9918-1b073350346d · outbound

This paper cites Durmus Alp Emre Acar, Yue Zhao, Ramon Matas, Matthew Mattina, Paul Whatmough, and Venkatesh Saligrama.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Durmus Alp Emre Acar, Yue Zhao, Ramon Matas, Matthew Mattina, Paul Whatmough, and Venkatesh Saligrama

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T05:33:36.703628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bf2fe76-3411-4490-b505-d53ad0414f06 · outbound

This paper cites Sijie Cheng, Jingwen Wu, Yanghua Xiao, Yang Liu, and Yang Liu.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Sijie Cheng, Jingwen Wu, Yanghua Xiao, Yang Liu, and Yang Liu

Reference 2024

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T05:33:45.290119Z

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 bfec7110-f3d3-4c0d-909f-7e5c613c0fd6 · outbound

This paper cites Kilian Pfeiffer, Ramin Khalili, and Joerg Henkel.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Kilian Pfeiffer, Ramin Khalili, and Joerg Henkel

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T05:33:41.024787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers