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A Survey on Deep Learning in Medical Image Analysis

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

50 / 1,590 papers shown
Title
Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading
Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading
Shuo Tong
Shangde Gao
Ke Liu
Zihang Huang
Hongxia Xu
Haochao Ying
J. Wu
24
0
0
01 May 2025
LymphAtlas- A Unified Multimodal Lymphoma Imaging Repository Delivering AI-Enhanced Diagnostic Insight
LymphAtlas- A Unified Multimodal Lymphoma Imaging Repository Delivering AI-Enhanced Diagnostic Insight
Jiajun Ding
Beiyao Zhu
Xiaosheng Liu
Lishen Zhang
Zhao Liu
36
0
0
29 Apr 2025
Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI
Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI
Hugo Georgenthum
Cristian Cosentino
Fabrizio Marozzo
Pietro Liò
MedIm
138
0
0
28 Apr 2025
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
Sara Yavari
Jacob Furst
CLL
53
0
0
28 Apr 2025
Leveraging Modified Ex Situ Tomography Data for Segmentation of In Situ Synchrotron X-Ray Computed Tomography
Leveraging Modified Ex Situ Tomography Data for Segmentation of In Situ Synchrotron X-Ray Computed Tomography
Tristan Manchester
Adam Anders
Julio Spadotto
Hannah Eccleston
William Beavan
Hugues Arcis
Brian J. Connolly
29
0
0
27 Apr 2025
VeLU: Variance-enhanced Learning Unit for Deep Neural Networks
VeLU: Variance-enhanced Learning Unit for Deep Neural Networks
Ashkan Shakarami
Yousef Yeganeh
Azade Farshad
Lorenzo Nicolè
Stefano Ghidoni
Nassir Navab
52
0
0
21 Apr 2025
Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance
Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance
Oliver Mills
Philip G. Conaghan
Nishant Ravikumar
Samuel D. Relton
MedIm
28
0
0
17 Apr 2025
SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields
SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields
David K. Park
Xihaier Luo
Guang Zhao
Seungjun Lee
M. Oprescu
Shinjae Yoo
AI4TS
27
0
0
16 Apr 2025
Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing
Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing
I. Isler
David Mohaisen
C. Lisle
D. Turgut
Ulas Bagci
26
0
0
16 Apr 2025
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey
Siteng Ma
Honghui Du
Yu An
Jing Wang
Qinqin Wang
Haochang Wu
Aonghus Lawlor
Ruihai Dong
37
0
0
15 Apr 2025
Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations
Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations
Mahshad Lotfinia
Arash Tayebiarasteh
Samaneh Samiei
Mehdi Joodaki
Soroosh Tayebi Arasteh
30
0
0
11 Apr 2025
A Lightweight Large Vision-language Model for Multimodal Medical Images
A Lightweight Large Vision-language Model for Multimodal Medical Images
Belal Alsinglawi
Chris McCarthy
Sara Webb
Christopher Fluke
Navid Toosy Saidy
LM&MA
42
0
0
08 Apr 2025
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
Julio Silva-Rodríguez
Jose Dolz
Ismail ben Ayed
VLM
MedIm
31
0
0
07 Apr 2025
An ensemble deep learning approach to detect tumors on Mohs micrographic surgery slides
An ensemble deep learning approach to detect tumors on Mohs micrographic surgery slides
Abdurrahim Yilmaz
Serra Atilla Aydin
Deniz Temur
Furkan Yuceyalcin
Berkin Deniz Kahya
Rahmetullah Varol
Ozay Gokoz
G. Gencoglan
H. Uvet
Gonca Elcin
18
0
0
07 Apr 2025
Your Image Generator Is Your New Private Dataset
Your Image Generator Is Your New Private Dataset
Nicolo Resmini
Eugenio Lomurno
Cristian Sbrolli
Matteo Matteucci
26
0
0
06 Apr 2025
CALF: A Conditionally Adaptive Loss Function to Mitigate Class-Imbalanced Segmentation
CALF: A Conditionally Adaptive Loss Function to Mitigate Class-Imbalanced Segmentation
Bashir Alam
Masa Cirkovic
Mete Harun Akcay
Md Kaf Shahrier
S. Lafond
Hergys Rexha
Kurt Benke
Sepinoud Azimi
J. Arslan
26
0
0
06 Apr 2025
Dynamic Importance in Diffusion U-Net for Enhanced Image Synthesis
Dynamic Importance in Diffusion U-Net for Enhanced Image Synthesis
Xi Wang
Ziqi He
Yang Zhou
37
0
0
04 Apr 2025
Equivariant Spherical CNNs for Accurate Fiber Orientation Distribution Estimation in Neonatal Diffusion MRI with Reduced Acquisition Time
Equivariant Spherical CNNs for Accurate Fiber Orientation Distribution Estimation in Neonatal Diffusion MRI with Reduced Acquisition Time
Haykel Snoussi
Davood Karimi
DiffM
MedIm
35
0
0
02 Apr 2025
A Multi-Site Study on AI-Driven Pathology Detection and Osteoarthritis Grading from Knee X-Ray
A Multi-Site Study on AI-Driven Pathology Detection and Osteoarthritis Grading from Knee X-Ray
Bargava Subramanian
Naveen Kumarasami
Praveen Shastry
Kalyan Sivasailam
Anandakumar D
Keerthana R
Mounigasri M
Abilaasha G
Kishore Prasath Venkatesh
35
0
0
28 Mar 2025
iMedImage Technical Report
iMedImage Technical Report
Ran Wei
ZhiXiong Lan
Qing Yan
Ning Song
Ming Lv
LongQing Ye
49
0
0
27 Mar 2025
AI-Driven MRI Spine Pathology Detection: A Comprehensive Deep Learning Approach for Automated Diagnosis in Diverse Clinical Settings
AI-Driven MRI Spine Pathology Detection: A Comprehensive Deep Learning Approach for Automated Diagnosis in Diverse Clinical Settings
Bargava Subramanian
Naveen Kumarasami
Praveen Shastry
Raghotham Sripadraj
Kalyan Sivasailam
Anandakumar D
Abinaya Ramachandran
Sudhir MP
Gunakutti G
Kishore Prasath Venkatesh
54
0
0
26 Mar 2025
3D Convolutional Neural Networks for Improved Detection of Intracranial bleeding in CT Imaging
3D Convolutional Neural Networks for Improved Detection of Intracranial bleeding in CT Imaging
Bargava Subramanian
Naveen Kumarasami
Praveen Shastry
Kalyan Sivasailam
Anandakumar D
...
Harsha KG
R. García-Vázquez
Harini T
Afshin Hussain
Kishore Prasath Venkatesh
70
0
0
26 Mar 2025
Exploiting Temporal State Space Sharing for Video Semantic Segmentation
Exploiting Temporal State Space Sharing for Video Semantic Segmentation
Syed Ariff Syed Hesham
Yun Liu
Guolei Sun
Henghui Ding
Jing Yang
Ender Konukoglu
Xue Geng
Xudong Jiang
53
1
0
26 Mar 2025
SALT: Singular Value Adaptation with Low-Rank Transformation
SALT: Singular Value Adaptation with Low-Rank Transformation
Abdelrahman Elsayed
Sarim Hashmi
Mohammed Elseiagy
Hu Wang
Mohammad Yaqub
Ibrahim Almakky
OOD
45
0
0
20 Mar 2025
BI-RADS prediction of mammographic masses using uncertainty information extracted from a Bayesian Deep Learning model
BI-RADS prediction of mammographic masses using uncertainty information extracted from a Bayesian Deep Learning model
Mohaddeseh Chegini
Ali Mahloojifar
67
1
0
18 Mar 2025
Cohort-attention Evaluation Metric against Tied Data: Studying Performance of Classification Models in Cancer Detection
Cohort-attention Evaluation Metric against Tied Data: Studying Performance of Classification Models in Cancer Detection
Longfei Wei
Fang Sheng
Jianfei Zhang
34
0
0
17 Mar 2025
Convolutional neural network for early detection of lameness and irregularity in horses using an IMU sensor
Convolutional neural network for early detection of lameness and irregularity in horses using an IMU sensor
Benoît Savoini
Jonathan Bertolaccini
Stéphane Montavon
Michel Deriaz
56
0
0
17 Mar 2025
AI and Deep Learning for Automated Segmentation and Quantitative Measurement of Spinal Structures in MRI
AI and Deep Learning for Automated Segmentation and Quantitative Measurement of Spinal Structures in MRI
Praveen Shastry
Bhawana Sonawane
Kavya Mohan
Naveen Kumarasami
Anandakumar D
...
Kaviya SP
Kishore Prasath Venkatesh
Bargava Subramanian
Kalyan Sivasailam
Kalyan Sivasailam
36
0
0
14 Mar 2025
Deep Learning-Based Automated Workflow for Accurate Segmentation and Measurement of Abdominal Organs in CT Scans
Praveen Shastry
Ashok Sharma
Kavya Mohan
Naveen Kumarasami
Anandakumar D
Mounigasri M
Keerthana R
Kishore Prasath Venkatesh
Bargava Subramanian
Kalyan Sivasailam
59
0
0
13 Mar 2025
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
Aishik Konwer
Zhijian Yang
Erhan Bas
Cao Xiao
Prateek Prasanna
Parminder Bhatia
Taha A. Kass-Hout
MedIm
VLM
56
0
0
06 Mar 2025
VoiceGRPO: Modern MoE Transformers with Group Relative Policy Optimization GRPO for AI Voice Health Care Applications on Voice Pathology Detection
Enkhtogtokh Togootogtokh
Christian Klasen
MedIm
60
0
0
05 Mar 2025
DDAD: A Two-pronged Adversarial Defense Based on Distributional Discrepancy
Jiacheng Zhang
Benjamin I. P. Rubinstein
J. Zhang
Feng Liu
69
0
0
04 Mar 2025
Learning Covariance-Based Multi-Scale Representation of Neuroimaging Measures for Alzheimer Classification
Seunghun Baek
Injun Choi
Mustafa Dere
Minjeong Kim
Guorong Wu
Won Hwa Kim
74
3
0
03 Mar 2025
Cross-Attention Fusion of MRI and Jacobian Maps for Alzheimer's Disease Diagnosis
Shijia Zhang
Xiyu Ding
Brian Caffo
Junyu Chen
Cindy Zhang
Hadi Kharrazi
Zheyu Wang
MedIm
29
0
0
01 Mar 2025
Less is More? Revisiting the Importance of Frame Rate in Real-Time Zero-Shot Surgical Video Segmentation
Less is More? Revisiting the Importance of Frame Rate in Real-Time Zero-Shot Surgical Video Segmentation
Utku Ozbulak
Seyed Amir Mousavi
Francesca Tozzi
Nikdokht Rashidian
W. Willaert
W. D. Neve
J. Vankerschaver
42
0
0
28 Feb 2025
Post-Hoc Uncertainty Quantification in Pre-Trained Neural Networks via Activation-Level Gaussian Processes
Post-Hoc Uncertainty Quantification in Pre-Trained Neural Networks via Activation-Level Gaussian Processes
Richard Bergna
Stefan Depeweg
Sergio Calvo-Ordoñez
Jonathan Plenk
Alvaro Cartea
Jose Miguel Hernandez-Lobato
UQCV
AI4CE
40
0
0
28 Feb 2025
Deep learning and classical computer vision techniques in medical image analysis: Case studies on brain MRI tissue segmentation, lung CT COPD registration, and skin lesion classification
Deep learning and classical computer vision techniques in medical image analysis: Case studies on brain MRI tissue segmentation, lung CT COPD registration, and skin lesion classification
Anyimadu Daniel Tweneboah
Suleiman Taofik Ahmed
Hossain Mohammad Imran
63
0
0
26 Feb 2025
MedKAN: An Advanced Kolmogorov-Arnold Network for Medical Image Classification
MedKAN: An Advanced Kolmogorov-Arnold Network for Medical Image Classification
Zhuoqin Yang
Jiansong Zhang
Xiaoling Luo
Zheng Lu
Linlin Shen
MedIm
60
2
0
25 Feb 2025
Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review
Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review
Ufaq Khan
Umair Nawaz
A. Qayyum
Shazad Ashraf
Muhammad Bilal
Junaid Qadir
76
0
0
24 Feb 2025
IBURD: Image Blending for Underwater Robotic Detection
IBURD: Image Blending for Underwater Robotic Detection
Jungseok Hong
Sakshi Singh
Junaed Sattar
54
1
0
24 Feb 2025
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation
B. Shirokikh
Anvar Kurmukov
Mariia Donskova
Valentin Samokhin
Mikhail Belyaev
Ivan V. Oseledets
OOD
37
0
0
24 Feb 2025
Utilizing AI and Machine Learning for Predictive Analysis of Post-Treatment Cancer Recurrence
Utilizing AI and Machine Learning for Predictive Analysis of Post-Treatment Cancer Recurrence
Muhammad Umer Qayyum
Muhammad Fahad
Nasrullah Abbasi
AI4CE
33
3
0
20 Feb 2025
Using Graph Convolutional Networks to Address fMRI Small Data Problems
Using Graph Convolutional Networks to Address fMRI Small Data Problems
Thomas Screven
Andras Necz
J. Smucny
Ian Davidson
GNN
MedIm
33
1
0
19 Feb 2025
OCT Data is All You Need: How Vision Transformers with and without Pre-training Benefit Imaging
OCT Data is All You Need: How Vision Transformers with and without Pre-training Benefit Imaging
Zihao Han
Philippe De Wilde
ViT
75
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0
17 Feb 2025
DCENWCNet: A Deep CNN Ensemble Network for White Blood Cell Classification with LIME-Based Explainability
DCENWCNet: A Deep CNN Ensemble Network for White Blood Cell Classification with LIME-Based Explainability
Sibasish Dhibar
68
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0
08 Feb 2025
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning
Yuting He
Boyu Wang
Rongjun Ge
Yang Chen
Guanyu Yang
Shuo Li
MedIm
AAML
67
2
0
07 Feb 2025
Leveraging Video Vision Transformer for Alzheimer's Disease Diagnosis from 3D Brain MRI
Taymaz Akan
Sait Alp
Md. Shenuarin Bhuiyan
Elizabeth A. Disbrow
Steven A. Conrad
John A. Vanchiere
Christopher G. Kevil
M. A. N. Bhuiyan
MedIm
36
0
0
28 Jan 2025
Motion-enhancement to Echocardiography Segmentation via Inserting a Temporal Attention Module: An Efficient, Adaptable, and Scalable Approach
M. Hasan
Guang Yang
Choon Hwai Yap
39
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0
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Synthetic CT image generation from CBCT: A Systematic Review
Synthetic CT image generation from CBCT: A Systematic Review
Alzahra Altalib
Scott McGregor
Chunhui Li
Alessandro Perelli
DiffM
MedIm
36
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0
22 Jan 2025
Merging Context Clustering with Visual State Space Models for Medical Image Segmentation
Merging Context Clustering with Visual State Space Models for Medical Image Segmentation
Yun Zhu
Dong Zhang
Yi-Mou Lin
Yifei Feng
Jinhui Tang
Mamba
27
1
0
03 Jan 2025
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