A Survey on Deep Learning in Medical Image Analysis

19 February 2017

Bram van Ginneken

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

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Title
Gravity Network for end-to-end small lesion detection Ciro Russo Alessandro Bria Claudio Marrocco MedIm 32 0 0 22 Sep 2023
Interpretable 3D Multi-Modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis Hanem Ellethy Viktor Vegh Shekhar S. Chandra 22 4 0 22 Sep 2023
Self2Seg: Single-Image Self-Supervised Joint Segmentation and Denoising Nadja Gruber Johannes Schwab Noémie Debroux Nicolas Papadakis Markus Haltmeier 27 0 0 19 Sep 2023
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation Jianghao Wu Guotai Wang Ran Gu Tao Lu Yinan Chen Wentao Zhu Tom Kamiel Magda Vercauteren Sébastien Ourselin Shaoting Zhang MedIm OOD 15 22 0 19 Sep 2023
Cross-attention-based saliency inference for predicting cancer metastasis on whole slide images Ziyu Su Mostafa Rezapour Usama Sajjad Shuo Niu M. Gürcan M. Niazi 34 5 0 18 Sep 2023
Preserved Edge Convolutional Neural Network for Sensitivity Enhancement of Deuterium Metabolic Imaging (DMI) Siyuan Dong H. Feyter Monique A. Thomas Robin A. de Graaf James S. Duncan 13 4 0 08 Sep 2023
Unveiling the frontiers of deep learning: innovations shaping diverse domains Shams Forruque Ahmed Md. Sakib Bin Alam Maliha Kabir Shaila Afrin Sabiha Jannat Rafa Aanushka Mehjabin Amir H. Gandomi AI4CE 42 2 0 06 Sep 2023
Knowledge Graph Embeddings for Multi-Lingual Structured Representations of Radiology Reports Tom van Sonsbeek Xiantong Zhen Marcel Warring 11 0 0 02 Sep 2023
Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification Ziqi Yang Zhongyu Li Chen Liu Xiangde Luo Xingguang Wang Dou Xu Chao-Ting Li Xiaoying Qin Meng Yang Long Jin 37 0 0 24 Aug 2023
Integrated Image and Location Analysis for Wound Classification: A Deep Learning Approach Yash J. Patel Tirth J. Shah M. K. Dhar Taiyu Zhang J. Niezgoda Sandeep Gopalakrishnan Zeyun Yu 21 15 0 23 Aug 2023
Non-Redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer Rebeca Vétil Clément Abi-Nader Alexandre Bône M. Vullierme Marc-Michel Rohé Pietro Gori Isabelle Bloch MedIm 14 1 0 22 Aug 2023
A Preliminary Investigation into Search and Matching for Tumour Discrimination in WHO Breast Taxonomy Using Deep Networks A. Shafique R. Gonzalez Liron Pantanowitz P. Tan Alberto Machado Ian A. Cree Hamid R. Tizhoosh 22 6 0 22 Aug 2023
Metadata Improves Segmentation Through Multitasking Elicitation Iaroslav Plutenko Mikhail Papkov K. Palo L. Parts D. Fishman 16 0 0 18 Aug 2023
AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation Zhiyu Ma Chen Li Tianming Du Le Zhang Dechao Tang ... Zhihao Chen Jingjing Yuan Qi Nie M. Grzegorzek Hongzan Sun 53 4 0 16 Aug 2023
Deep Learning-Based Open Source Toolkit for Eosinophil Detection in Pediatric Eosinophilic Esophagitis Juming Xiong Yilin Liu Ruining Deng R. Tyree Hernán Correa Girish Hiremath Yaohong Wang Yuankai Huo 11 2 0 11 Aug 2023
Automated Real Time Delineation of Supraclavicular Brachial Plexus in Neck Ultrasonography Videos: A Deep Learning Approach Abhay Tyagi Abhishek Tyagi Manpreet Kaur Jaya Sivaswami R. Aggarwal K. Soni A. Trikha 9 1 0 07 Aug 2023
Redesigning Out-of-Distribution Detection on 3D Medical Images A. Vasiliuk Daria Frolova Mikhail Belyaev B. Shirokikh OOD 34 5 0 07 Aug 2023
Semi-supervised Learning for Segmentation of Bleeding Regions in Video Capsule Endoscopy Hechen Li Yanan Wu Long Bai An-Chi Wang Tong Chen Hongliang Ren 36 4 0 05 Aug 2023
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics Alberto Archetti F. Ieva Matteo Matteucci FedML 22 10 0 04 Aug 2023
Partial Label Supervision for Agnostic Generative Noisy Label Learning Fengbei Liu Chong Wang Yuanhong Chen Yuyuan Liu G. Carneiro NoLa 32 1 0 02 Aug 2023
Synthetic Skull CT Generation with Generative Adversarial Networks to Train Deep Learning Models for Clinical Transcranial Ultrasound Kasra Naftchi-Ardebili Karanpartap Singh Reza Pourabolghasem P. Ghanouni Gerald R. Popelka Kim Butts Pauly MedIm 11 0 0 01 Aug 2023
A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks Khushnaseeb Roshan Aasim Zafar Shiekh Burhan Ul Haque AAML 8 8 0 31 Jul 2023
MIM-OOD: Generative Masked Image Modelling for Out-of-Distribution Detection in Medical Images Sergio Naval Marimont Vasilis Siomos G. Tarroni 34 1 0 27 Jul 2023
Deepfake Image Generation for Improved Brain Tumor Segmentation Roaá Al-Emaryeen Sara Al-Nahhas Fatima Himour W. Mahafza Omar Sultan Al-Kadi MedIm 9 2 0 26 Jul 2023
CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasets Mominul Islam H. Zunair Nabeel Mohammed MedIm 28 10 0 25 Jul 2023
$Few-shot $\mathbf{1/a}$ Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance$ Few-shot $\mathbf{1/a}$ Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance Takato Yasuno AI4TS 21 0 0 24 Jul 2023
Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images Saypraseuth Mounsaveng I. Laradji David Vázquez M. Pedersoli Ismail Ben Ayed OOD 25 1 0 21 Jul 2023
Deep Directly-Trained Spiking Neural Networks for Object Detection Qiaoyi Su Yuhong Chou Yifan Hu Jianing Li Shijie Mei Ziyang Zhang Guoqiu Li ObjD 15 68 0 21 Jul 2023
LatentAugment: Data Augmentation via Guided Manipulation of GAN's Latent Space L. Tronchin Minh H. Vu Paolo Soda Tommy Löfstedt 27 2 0 21 Jul 2023
Confidence Estimation Using Unlabeled Data Chen Li Xiaoling Hu Chao Chen UQCV 23 9 0 19 Jul 2023
A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future Chaoyang Zhu Long Chen ObjD VLM 31 32 0 18 Jul 2023
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives S. Kumari Pravendra Singh OOD 43 29 0 18 Jul 2023
Brain Tumor Detection using Convolutional Neural Networks with Skip Connections A. Hamran Marzieh Vaeztourshizi Amirhossein Esmaili Massoud Pedram 27 0 0 14 Jul 2023
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology Jingwei Zhang Ke Ma S. Kapse Joel H. Saltz Maria Vakalopoulou Prateek Prasanna Dimitris Samaras VLM MedIm 34 33 0 12 Jul 2023
Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation Beilei Cui Minqing Zhang Mengya Xu An-Chi Wang Wu Yuan Hongliang Ren NoLa 38 3 0 12 Jul 2023
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification Md Junaid Mahmood Pranaw Raj Divyansh Agarwal S. Kumari Pravendra Singh 31 7 0 10 Jul 2023
Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical Data Maryamalsadat Mahootiha H. Qadir Jacob Bergsland I. Balasingham 21 7 0 07 Jul 2023
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images Nicolás Gaggion Candelaria Mosquera Lucas Mansilla Julia Mariel Saidman M. Aineseder Diego H. Milone Enzo Ferrante 18 19 0 06 Jul 2023
A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia A. Shephard R. M. S. Bashir H. Mahmood Mostafa Jahanifar F. Minhas ... Jill M Brooks P. Nankivell H. Mehanna S. Khurram Nasir M. Rajpoot 25 3 0 06 Jul 2023
Advancing Wound Filling Extraction on 3D Faces: Auto-Segmentation and Wound Face Regeneration Approach Duong Q. Nguyen Thinh D. Le P. D. Nguyen Nga T.K. Le H. Nguyen-Xuan 32 4 0 04 Jul 2023
End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers E. Panfilov S. Saarakkala M. Nieminen A. Tiulpin 33 1 0 03 Jul 2023
See Through the Fog: Curriculum Learning with Progressive Occlusion in Medical Imaging Pradeep Singh Kishore Babu Nampalle Vivek Narayan Uppala Balasubramanian Raman 35 2 0 27 Jun 2023
AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-Net A. Khan Alif Ashrafee Fahim Shahriar Khan Md. Bakhtiar Hasan M. H. Kabir SSeg 19 5 0 25 Jun 2023
Segment Anything Model (SAM) for Radiation Oncology Lian-Cheng Zhang Zheng Liu Lu Zhang Zihao Wu Xiao-Xing Yu ... Xiang Li Quanzheng Li Dajiang Zhu Tianming Liu Wei Liu VLM MedIm 21 33 0 20 Jun 2023
Statistical Tests for Replacing Human Decision Makers with Algorithms Kai Feng Han Hong Ke Tang Jingyuan Wang 11 4 0 20 Jun 2023
A Comparison of Self-Supervised Pretraining Approaches for Predicting Disease Risk from Chest Radiograph Images Yanru Chen Michael T Lu V. Raghu SSL 24 0 0 15 Jun 2023
Re-Benchmarking Pool-Based Active Learning for Binary Classification Po-Yi Lu Chun-Liang Li Hsuan-Tien Lin 15 7 0 15 Jun 2023
Improving Zero-Shot Detection of Low Prevalence Chest Pathologies using Domain Pre-trained Language Models Aakash Mishra Rajat Mittal C. Jestin K. Tingos Pranav Rajpurkar 11 9 0 13 Jun 2023
Enhancing COVID-19 Diagnosis through Vision Transformer-Based Analysis of Chest X-ray Images Sultan Zavrak 24 0 0 12 Jun 2023
Federated Learning for Medical Image Analysis: A Survey Hao Guan Pew-Thian Yap Andrea Bozoki Mingxia Liu FedML OOD 37 113 0 09 Jun 2023