Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks | Paper Citation Record

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Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Unresolved cited work

Reference 1

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This paper cites Beware of Aliases -- Signal Preservation is Crucial for Robust Image Restoration.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Beware of Aliases -- Signal Preservation is Crucial for Robust Image Restoration

Reference 2

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This paper cites Improving feature stability during upsampling–spectral ar- tifacts and the importance of spatial context.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Improving feature stability during upsampling–spectral ar- tifacts and the importance of spatial context

Reference 3

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This paper cites DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization

Reference 4

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This paper cites Interpretation of Chest X-ray: An Illus- trated Companion.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Interpretation of Chest X-ray: An Illus- trated Companion

Reference 5

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This paper cites Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Reference 6

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This paper cites PadChest: A large chest x-ray image dataset with multi-label annotated reports.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks PadChest: A large chest x-ray image dataset with multi-label annotated reports

Reference 7

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This paper cites B-cos Net- works: Alignment is All We Need for Interpretability, May.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks B-cos Net- works: Alignment is All We Need for Interpretability, May

Reference 8

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This paper cites Chawla, Aleksandar Lazarevic, Lawrence O.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Chawla, Aleksandar Lazarevic, Lawrence O

Reference 9

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This paper cites Explainable medical imaging AI needs human-centered design: guidelines and evidence from a sys- tematic review.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Explainable medical imaging AI needs human-centered design: guidelines and evidence from a sys- tematic review

Reference 10

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This paper cites Receiver op- erating characteristic curve analysis in diagnostic accuracy studies: A guide to interpreting the area under the curve value.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Receiver op- erating characteristic curve analysis in diagnostic accuracy studies: A guide to interpreting the area under the curve value

Reference 11

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This paper cites Augmenting Medical Imaging: A Comprehensive Catalogue of 65 Techniques for Enhanced Data Analysis.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Augmenting Medical Imaging: A Comprehensive Catalogue of 65 Techniques for Enhanced Data Analysis

Reference 12

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Observation 3be058f3-0d10-47da-ab92-1fd41e34337f · outbound

This paper cites Brindle, Lisa M.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Brindle, Lisa M

Reference 13

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 14

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This paper cites Deep Learning for Automatic Pneumonia Detec- tion.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Deep Learning for Automatic Pneumonia Detec- tion

Reference 15

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This paper cites Diagnostic accuracy of point- of-care tests in acute community-acquired lower respira- tory tract infections.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Diagnostic accuracy of point- of-care tests in acute community-acquired lower respira- tory tract infections

Reference 16

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This paper cites Bridging the gap: From post hoc explana- tions to inherently interpretable models for medical imaging.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Bridging the gap: From post hoc explana- tions to inherently interpretable models for medical imaging

Reference 17

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This paper cites Explaining Explanations: An Overview of Interpretability of Machine Learning.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Explaining Explanations: An Overview of Interpretability of Machine Learning

Reference 18

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This paper cites Deep Learning: A Visual Approach.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Deep Learning: A Visual Approach

Reference 19

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Observation de1a8b6b-7c79-4319-ac78-3d2e777ac1d0 · outbound

This paper cites Gonzalez, Richard E.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Gonzalez, Richard E

Reference 20

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This paper cites Deep Learning.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Deep Learning

Reference 21

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This paper cites FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting

Reference 22

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This paper cites Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling, July 2023.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling, July 2023

Reference 23

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This paper cites Deep Residual Learning for Image Recognition.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Deep Residual Learning for Image Recognition

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This paper cites Belal Hossain, S.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Belal Hossain, S

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This paper cites Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco An- dreetto, and Hartwig Adam.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco An- dreetto, and Hartwig Adam

Reference 26

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This paper cites Densely Connected Convolutional Networks.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Densely Connected Convolutional Networks

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This paper cites CheXpert: A Large Chest Radiograph Dataset with Uncer- tainty Labels and Expert Comparison, Jan.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks CheXpert: A Large Chest Radiograph Dataset with Uncer- tainty Labels and Expert Comparison, Jan

Reference 28

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This paper cites LayerCAM: Exploring Hierarchi- cal Class Activation Maps for Localization.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks LayerCAM: Exploring Hierarchi- cal Class Activation Maps for Localization

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Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Unresolved cited work

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Observation fc4c3a73-932d-4ab6-8da4-3de3ad6dc807 · outbound

This paper cites Computer-assisted diagnosis for an early iden- tification of lung cancer in chest X rays.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Computer-assisted diagnosis for an early iden- tification of lung cancer in chest X rays

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This paper cites Solving min- imum cost lifted multicut problems by node agglomera- tion.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Solving min- imum cost lifted multicut problems by node agglomera- tion

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This paper cites Hierarchical markov random fields for mast cell segmentation in electron microscopic record- ings.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Hierarchical markov random fields for mast cell segmentation in electron microscopic record- ings

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This paper cites Blind deconvolution of widefield fluorescence micro- scopic data by regularization of the optical transfer function (otf).

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Blind deconvolution of widefield fluorescence micro- scopic data by regularization of the optical transfer function (otf)

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Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks A study of cross-validation and bootstrap for accuracy estimation and model selection

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This paper cites Pneumonia detection in chest X-ray images using an ensemble of deep learning models.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Pneumonia detection in chest X-ray images using an ensemble of deep learning models

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Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Unresolved cited work

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Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks A ConvNet for the 2020s

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This paper cites Towards a Guideline for Evaluation Metrics in Medical Image Segmentation.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Towards a Guideline for Evaluation Metrics in Medical Image Segmentation

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This paper cites The power of data mining in diagnosis of childhood pneumonia.Journal of The Royal Society Interface , 13(120):20160266, July 2016.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks The power of data mining in diagnosis of childhood pneumonia.Journal of The Royal Society Interface , 13(120):20160266, July 2016

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This paper cites Nguyen, Khanh Lam, Linh T.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Nguyen, Khanh Lam, Linh T

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Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Exploring large scale public medical image datasets

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This paper cites IEViT: An enhanced vision transformer architec- ture for chest X-ray image classification.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks IEViT: An enhanced vision transformer architec- ture for chest X-ray image classification

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This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks PyTorch: An Imperative Style, High-Performance Deep Learning Library

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This paper cites CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

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This paper cites Studying how to efficiently and effectively guide models with explanations.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Studying how to efficiently and effectively guide models with explanations

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This paper cites A multichannel EfficientNet deep learning-based stacking ensemble approach for lung disease detection using chest X-ray images.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks A multichannel EfficientNet deep learning-based stacking ensemble approach for lung disease detection using chest X-ray images

Reference 47

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This paper cites Detection of Pneumonia from Chest X-ray Images Utilizing MobileNet Model.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Detection of Pneumonia from Chest X-ray Images Utilizing MobileNet Model

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This paper cites Stop explaining black box machine learn- ing models for high stakes decisions and use interpretable models instead.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Stop explaining black box machine learn- ing models for high stakes decisions and use interpretable models instead

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This paper cites Current challenges of implementing artificial intelligence in medical imaging.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Current challenges of implementing artificial intelligence in medical imaging

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:56.522685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6ac6269c-657c-4de4-8990-96dd64e16858 · outbound

This paper cites Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T15:05:55.991684Z

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Observation f5fd0e9f-930f-4a29-9afe-0c0671bc99d6 · outbound

This paper cites Wu, Safwan S.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Wu, Safwan S

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:56.514860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8258f661-c38f-4c1a-9e52-7c4b8a692e7d · outbound

This paper cites Explainable Deep Learning Models in Medi- cal Image Analysis.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Explainable Deep Learning Models in Medi- cal Image Analysis

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:56.499378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0e498a82-5899-4e56-9398-a2ca55fac28f · outbound

This paper cites Efficient pneumonia detection using Vision Transform- ers on chest X-rays.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Efficient pneumonia detection using Vision Transform- ers on chest X-rays

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:56.491780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b91c10e-f50b-4d92-9667-7da1ff8ee195 · outbound

This paper cites Task driven sensor layouts-joint optimiza- tion of pixel layout and network parameters.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Task driven sensor layouts-joint optimiza- tion of pixel layout and network parameters

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:56.476229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 73005320-eb38-40ab-b2b6-db19c82681cc · outbound

This paper cites Attri-net: A globally and lo- cally inherently interpretable model for multi-label classifi- cation using class-specific counterfactuals.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Attri-net: A globally and lo- cally inherently interpretable model for multi-label classifi- cation using class-specific counterfactuals

Reference 56

Resolution: verified exact; raw_fallback, observed 2026-08-06T15:05:56.212785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4ea0507d-e5b8-4532-b1ae-3dd0713c6bd3 · outbound

This paper cites B-cos aligned transformers learn human-interpretable fea- tures.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks B-cos aligned transformers learn human-interpretable fea- tures

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:56.468136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 411c2dae-82b6-42e8-8b7f-6c080a405eff · outbound

This paper cites Evaluation of post-hoc interpretability methods in time-series classification.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Evaluation of post-hoc interpretability methods in time-series classification

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:56.460058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1b89cf2a-186d-41a2-b97c-9a4c9f40b17e · outbound

This paper cites Score-CAM: Score-Weighted Visual Explanations for Convolutional Neu- ral Networks.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Score-CAM: Score-Weighted Visual Explanations for Convolutional Neu- ral Networks

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:56.451590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 00050e03-1de0-47c5-8525-0f20cbb5d0db · outbound

This paper cites ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T15:05:56.019088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1241c4aa-9ffb-43a6-9143-edf3682b5c4d · outbound

This paper cites Early Convolutions Help Transformers See Better.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Early Convolutions Help Transformers See Better

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T15:05:56.021751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c11462c-3f71-44e1-9142-c0703f40ac00 · outbound

This paper cites Making Convolutional Networks Shift-Invariant Again.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Making Convolutional Networks Shift-Invariant Again

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T15:05:56.024593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49fefb84-189f-4121-bd49-b11e8aa37a5c · outbound

This paper cites A Comprehensive Survey on Transfer Learning.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks A Comprehensive Survey on Transfer Learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T15:05:56.027331Z

Source-reported events for the cited work

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Observation 77ebea4e-b23e-4838-8f79-b4ab3310f597 · outbound

This paper cites van Leeuwen, and Keelin Murphy.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks van Leeuwen, and Keelin Murphy

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:56.443657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4fbbec37-7d3f-4b67-bf52-122a7d7040fa · outbound

This paper cites In the formulas this is displayed by only con- sidering Lp which are the positive contributions.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks In the formulas this is displayed by only con- sidering Lp which are the positive contributions

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:56.435462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e110dc45-91bb-46cb-adf5-ae319b8a1c4e · outbound

This paper cites Conse- quently, this metric should display whether the model sees the values inside bounding box area as primarily contributing to the class prediction.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Conse- quently, this metric should display whether the model sees the values inside bounding box area as primarily contributing to the class prediction

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:56.427547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a14a988c-616d-4320-9c98-2a413b04deff · outbound

This paper cites an unresolved cited work.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:05:56.419123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f24d02e5-429d-4b46-bc9b-7747f740468e · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-06T15:05:55.797247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83103edc-c605-4b36-a7f2-197af8bda1a3 · outbound

This paper cites 3, 4, 7, 8.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks 3, 4, 7, 8

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:56.507225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6184d455-66f2-4106-b122-678b4bce1314 · outbound

This paper cites B-cos Networks: Alignment is All We Need for Interpretability.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks B-cos Networks: Alignment is All We Need for Interpretability

Reference 2022

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:05:56.391659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 78c9fa84-bb8d-49fa-a37c-9138b585763c · outbound

This paper cites an unresolved cited work.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:05:56.483803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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