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A Survey on Deep Learning in Medical Image Analysis
v1v2 (latest)

A Survey on Deep Learning in Medical Image Analysis

19 February 2017
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
    OOD
ArXiv (abs)PDFHTML

Papers citing "A Survey on Deep Learning in Medical Image Analysis"

50 / 1,708 papers shown
Benchmarking Domain Generalization Algorithms in Computational Pathology
Benchmarking Domain Generalization Algorithms in Computational Pathology
Neda Zamanitajeddin
Mostafa Jahanifar
Kesi Xu
Fouzia Siraj
Nasir M. Rajpoot
OOD
449
7
0
25 Sep 2024
To Err Is AI! Debugging as an Intervention to Facilitate Appropriate
  Reliance on AI Systems
To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI SystemsACM Conference on Hypertext & Social Media (HT), 2024
Gaole He
Abri Bharos
U. Gadiraju
259
6
0
22 Sep 2024
An Uncertainty-Aware Generalization Framework for Cardiovascular Image Segmentation
An Uncertainty-Aware Generalization Framework for Cardiovascular Image Segmentation
Ting Yu Tsai
Li Lin
Yineng Chen
Connie W. Tsao
Shu Hu
...
Hongtu Zhu
Shao Lin
Ming-Ching Chang
Hongtu Zhu
Xin Wang
Mamba
287
5
0
22 Sep 2024
Multi-Domain Data Aggregation for Axon and Myelin Segmentation in
  Histology Images
Multi-Domain Data Aggregation for Axon and Myelin Segmentation in Histology Images
Armand Collin
Arthur Boschet
Mathieu Boudreau
Julien Cohen-Adad
171
0
0
17 Sep 2024
Genetic Information Analysis of Age-Related Macular Degeneration Fellow
  Eye Using Multi-Modal Selective ViT
Genetic Information Analysis of Age-Related Macular Degeneration Fellow Eye Using Multi-Modal Selective ViT
Yoichi Furukawa
Satoshi Kamiya
Yoichi Sakurada
Kenji Kashiwagi
Kazuhiro Hotta
147
0
0
17 Sep 2024
Lite-FBCN: Lightweight Fast Bilinear Convolutional Network for Brain
  Disease Classification from MRI Image
Lite-FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI ImageEmitter: International Journal of Engineering Technology (JEET), 2024
Dewinda Julianensi Rumala
R. F. Rachmadi
A. Sensusiati
I Ketut Eddy Purnama
116
1
0
17 Sep 2024
The Role of Explainable AI in Revolutionizing Human Health Monitoring: A Review
The Role of Explainable AI in Revolutionizing Human Health Monitoring: A Review
Abdullah Alharthi
Ahmed Alqurashi
Turki Alharbi
Mohammed Alammar
Nasser Aldosari
Houssem Bouchekara
Yusuf Shaaban
Mohammad Shoaib Shahriar
Abdulrahman Al Ayidh
308
0
0
11 Sep 2024
Using machine learning for fault detection in lighthouse light sensors
Using machine learning for fault detection in lighthouse light sensors
Michael Kampouridis
Nikolaos Vastardis
George Rayment
74
2
0
09 Sep 2024
Few-shot Adaptation of Medical Vision-Language Models
Few-shot Adaptation of Medical Vision-Language ModelsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Fereshteh Shakeri
Yunshi Huang
Julio Silva-Rodríguez
Houda Bahig
An Tang
Jose Dolz
Ismail Ben Ayed
VLM
246
18
0
05 Sep 2024
Coalitions of AI-based Methods Predict 15-Year Risks of Breast Cancer
  Metastasis Using Real-World Clinical Data with AUC up to 0.9
Coalitions of AI-based Methods Predict 15-Year Risks of Breast Cancer Metastasis Using Real-World Clinical Data with AUC up to 0.9
Xia Jiang
Yijun Zhou
Alan Wells
A. Brufsky
OODAI4CE
171
0
0
29 Aug 2024
Unleashing the Potential of SAM2 for Biomedical Images and Videos: A
  Survey
Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey
Yichi Zhang
Zhenrong Shen
VLM
341
21
0
23 Aug 2024
SAM-SP: Self-Prompting Makes SAM Great Again
SAM-SP: Self-Prompting Makes SAM Great Again
Chunpeng Zhou
Kangjie Ning
Qianqian Shen
Sheng Zhou
Zhi Yu
Haishuai Wang
VLM
199
9
0
22 Aug 2024
MakeupAttack: Feature Space Black-box Backdoor Attack on Face
  Recognition via Makeup Transfer
MakeupAttack: Feature Space Black-box Backdoor Attack on Face Recognition via Makeup TransferEuropean Conference on Artificial Intelligence (ECAI), 2024
Ming Sun
Lihua Jing
Zixuan Zhu
Rui Wang
AAML
138
3
0
22 Aug 2024
CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes
CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT VolumesIEEE International Symposium on Biomedical Imaging (ISBI), 2024
Theo Di Piazza
550
5
0
21 Aug 2024
Aligning Object Detector Bounding Boxes with Human Preference
Aligning Object Detector Bounding Boxes with Human Preference
Ombretta Strafforello
O. Kayhan
Oana Inel
Klamer Schutte
Jan van Gemert
ObjD
296
0
0
20 Aug 2024
Comparative Performance Analysis of Transformer-Based Pre-Trained Models
  for Detecting Keratoconus Disease
Comparative Performance Analysis of Transformer-Based Pre-Trained Models for Detecting Keratoconus Disease
Nayeem Ahmed
Md Maruf Rahman
Md Fatin Ishrak
Md Imran Kabir Joy
Md Sanowar Hossain Sabuj
Md. Sadekur Rahman
103
6
0
16 Aug 2024
HistoGym: A Reinforcement Learning Environment for Histopathological
  Image Analysis
HistoGym: A Reinforcement Learning Environment for Histopathological Image Analysis
Zhi-Bo Liu
Xiaobo Pang
Jizhao Wang
Shuai Liu
Chen Li
188
3
0
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DFT-Based Adversarial Attack Detection in MRI Brain Imaging: Enhancing
  Diagnostic Accuracy in Alzheimer's Case Studies
DFT-Based Adversarial Attack Detection in MRI Brain Imaging: Enhancing Diagnostic Accuracy in Alzheimer's Case Studies
Mohammad Hossein Najafi
Mohammad Morsali
Mohammadmahdi Vahediahmar
Saeed Bagheri Shouraki
AAMLMedIm
294
0
0
16 Aug 2024
Path-SAM2: Transfer SAM2 for digital pathology semantic segmentation
Path-SAM2: Transfer SAM2 for digital pathology semantic segmentation
Mingya Zhang
Liang Wang
Zhihao Chen
Yiyuan Ge
Xianping Tao
VLMMedIm
224
1
0
07 Aug 2024
More Than Positive and Negative: Communicating Fine Granularity in
  Medical Diagnosis
More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis
Xiangyu Peng
Kai Wang
Jianfei Yang
Yingying Zhu
Yang You
MedIm
198
0
0
05 Aug 2024
MedUHIP: Towards Human-In-the-Loop Medical Segmentation
MedUHIP: Towards Human-In-the-Loop Medical Segmentation
Jiayuan Zhu
A. Billard
200
3
0
03 Aug 2024
PINNs for Medical Image Analysis: A Survey
PINNs for Medical Image Analysis: A Survey
C. Banerjee
Kien Nguyen
Olivier Salvado
Truyen Tran
Clinton Fookes
AI4CE
266
6
0
02 Aug 2024
A Simple Background Augmentation Method for Object Detection with
  Diffusion Model
A Simple Background Augmentation Method for Object Detection with Diffusion ModelEuropean Conference on Computer Vision (ECCV), 2024
Yuhang Li
Jun Gao
Chen Chen
Yue Zhang
Jielei Zhang
DiffM
306
15
0
01 Aug 2024
Channel Boosted CNN-Transformer-based Multi-Level and Multi-Scale Nuclei
  Segmentation
Channel Boosted CNN-Transformer-based Multi-Level and Multi-Scale Nuclei Segmentation
Zunaira Rauf
Abdul Rehman Khan
Asifullah Khan
MedImViT
166
3
0
27 Jul 2024
Needle Segmentation Using GAN: Restoring Thin Instrument Visibility in
  Robotic Ultrasound
Needle Segmentation Using GAN: Restoring Thin Instrument Visibility in Robotic Ultrasound
Zhongliang Jiang
Xuesong Li
Xiangyu Chu
A. Karlas
Yuanwei Bi
Yingsheng Cheng
K. W. S. Au
Nassir Navab
224
9
0
25 Jul 2024
Revising the Problem of Partial Labels from the Perspective of CNNs'
  Robustness
Revising the Problem of Partial Labels from the Perspective of CNNs' Robustness
Xin Zhang
Yuqi Song
Wyatt McCurdy
Xiang Wang
Fei Zuo
AAML
157
0
0
24 Jul 2024
Differentiable Voxelization and Mesh Morphing
Differentiable Voxelization and Mesh Morphing
Yihao Luo
Yikai Wang
Zhengrui Xiang
Yuliang Xiu
Guang Yang
ChoonHwai Yap
3DH
600
2
0
15 Jul 2024
Segmentation of Prostate Tumour Volumes from PET Images is a Different
  Ball Game
Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game
Shrajan Bhandary
Dejan Kuhn
Z. Babaiee
T. Fechter
S. Spohn
C. Zamboglou
Anca-Ligia Grosu
Radu Grosu
199
1
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15 Jul 2024
Let Me DeCode You: Decoder Conditioning with Tabular Data
Let Me DeCode You: Decoder Conditioning with Tabular Data
Tomasz Szczepañski
Michal K. Grzeszczyk
Szymon Płotka
Arleta Adamowicz
Piotr Fudalej
Przemysław Korzeniowski
Tomasz Trzciñski
Arkadiusz Sitek
AI4CE
236
3
0
12 Jul 2024
Swin SMT: Global Sequential Modeling in 3D Medical Image Segmentation
Swin SMT: Global Sequential Modeling in 3D Medical Image Segmentation
Szymon Płotka
Maciej Chrabaszcz
Przemyslaw Biecek
179
4
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Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
Jonathan Passerat-Palmbach
Vasilis Siomos
Matthew Baugh
Christos Tzelepis
Bernhard Kainz
G. Tarroni
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196
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A Domain Adaptation Model for Carotid Ultrasound: Image Harmonization,
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A Domain Adaptation Model for Carotid Ultrasound: Image Harmonization, Noise Reduction, and Impact on Cardiovascular Risk Markers
Mohd Usama
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Ulf Naslund
Christer Grönlund
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148
5
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Segmenting Medical Images: From UNet to Res-UNet and nnUNet
Segmenting Medical Images: From UNet to Res-UNet and nnUNet
Lina Huang
A. Miron
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Yongmin Li
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288
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MHNet: Multi-view High-order Network for Diagnosing Neurodevelopmental Disorders Using Resting-state fMRI
MHNet: Multi-view High-order Network for Diagnosing Neurodevelopmental Disorders Using Resting-state fMRI
Yueyang Li
Weiming Zeng
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Luhui Cai
Lei Wang
Hongyu Chen
Hongjie Yan
Lingbin Bian
Nizhuan Wang
244
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Explaining Chest X-ray Pathology Models using Textual Concepts
Explaining Chest X-ray Pathology Models using Textual Concepts
Vijay Sadashivaiah
Mannudeep K. Kalra
Pingkun Yan
James A. Hendler
225
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Malaria Cell Detection Using Deep Neural Networks
Malaria Cell Detection Using Deep Neural Networks
Saurabh Sawant
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70
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μ-Net: A Deep Learning-Based Architecture for μ-CT Segmentation
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Carlo Adornetto
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Sandro Donato
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R. Filosa
Gianluigi Greco
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Vincenzo Formoso
117
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Demystifying the Effect of Receptive Field Size in U-Net Models for
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Vincent Loos
Rohit Pardasani
Navchetan Awasthi
SSeg
191
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24 Jun 2024
Data-driven Modeling in Metrology -- A Short Introduction, Current
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Data-driven Modeling in Metrology -- A Short Introduction, Current Developments and Future Perspectives
Linda-Sophie Schneider
Patrick Krauss
N. Schiering
Christopher Syben
Richard Schielein
Andreas Maier
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176
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Self-Supervised Pretext Tasks for Alzheimer's Disease Classification
  using 3D Convolutional Neural Networks on Large-Scale Synthetic Neuroimaging
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Self-Supervised Pretext Tasks for Alzheimer's Disease Classification using 3D Convolutional Neural Networks on Large-Scale Synthetic Neuroimaging Dataset
Chen Zheng
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143
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Probabilistic Temporal Prediction of Continuous Disease Trajectories and
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Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
J. Durso-Finley
Berardino Barile
Jean-Pierre Falet
Douglas L. Arnold
Nick Pawlowski
Tal Arbel
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246
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MDA: An Interpretable Multi-Modal Fusion with Missing Modalities and
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Yafei Ou
Cenyang Zheng
Pengyu Dai
Tamotsu Kamishima
Masayuki Ikebe
Kenji Suzuki
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184
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Comparison of fine-tuning strategies for transfer learning in medical
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Ana Davila
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182
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Deep Learning Domain Adaptation to Understand Physico-Chemical Processes
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Tilt and Average : Geometric Adjustment of the Last Layer for
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Evolution-aware VAriance (EVA) Coreset Selection for Medical Image
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Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals
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DS@BioMed at ImageCLEFmedical Caption 2024: Enhanced Attention
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Le-Huy Tu
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212
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Domain adaptation in small-scale and heterogeneous biological datasets
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Martin C. Liu
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