Deep Learning for Medical Image Processing: Overview, Challenges and Future

22 April 2017

Papers citing "Deep Learning for Medical Image Processing: Overview, Challenges and Future"

45 / 45 papers shown

Title
Tetrahedron-Net for Medical Image Registration Jinhai Xiang Shuai Guo Qianru Han Dantong Shi Xinwei He Xiang Bai 3DV 52 0 0 07 May 2025
Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model Pengfei Guo Can Zhao Dong Yang Yufan He V. Nath ... Zongwei Zhou Benjamin D. Simon Stephanie Harmon B. Turkbey Daguang Xu DiffM MedIm 40 0 0 07 May 2025
MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation Anzhe Cheng Chenzhong Yin Yu Chang Heng Ping Shixuan Li Shahin Nazarian Paul Bogdan SSeg 91 0 0 11 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 82 3 0 03 Mar 2025
Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities Chengkun Sun Jinqian Pan Juoli Jin Russell Stevens Terry Jiang Bian Jie Xu 22 0 0 20 Sep 2024
Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback Shenghuan Sun Gregory M. Goldgof A. Butte Ahmed Alaa MedIm 27 12 0 16 Jun 2023
Segment Anything Model for Medical Image Analysis: an Experimental Study Maciej Mazurowski Haoyu Dong Han Gu Jichen Yang N. Konz Yixin Zhang MedIm VLM 48 467 0 20 Apr 2023
Enhancement of theColor Image Compression Using a New Algorithm based on Discrete Hermite Wavelet Transform Hassan Mohamed Muhi-Aldeen A. Abdulrahman J. A. Eleiwy F. S. Tahir Yurii Khlaponin 18 0 0 23 Mar 2023
Improvement of Color Image Analysis Using a New Hybrid Face Recognition Algorithm based on Discrete Wavelets and Chebyshev Polynomials Hassan Mohamed Muhi-Aldeen Mahameed Mustafa A. Abdulrahman J. A. Eleiwy F. S. Tahir Yurii Khlaponin CVBM 21 0 0 23 Mar 2023
Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles S. K. Kim Kalai Ramea Salva Rühling Cachay H. Hirasawa Subhashis Hazarika D. Hingmire Peetak Mitra P. Rasch Hansi K. A. Singh AI4CE 35 0 0 07 Feb 2023
Few-shot Medical Image Segmentation with Cycle-resemblance Attention Hao Ding Changchang Sun Hao Tang Dawen Cai Yan Yan 41 45 0 07 Dec 2022
Novel transfer learning schemes based on Siamese networks and synthetic data Dominik Stallmann Philip Kenneweg Barbara Hammer 18 6 0 21 Nov 2022
Generative Adversarial Networks for Weakly Supervised Generation and Evaluation of Brain Tumor Segmentations on MR Images Jayeon Yoo Khashayar Namdar Matthias W. Wagner L. Nobre U. Tabori C. Hawkins B. Ertl-Wagner Farzad Khalvati GAN MedIm 18 0 0 10 Nov 2022
An Enhanced Deep Learning Technique for Prostate Cancer Identification Based on MRI Scans Hussein Hashem Yasmin M. Alsakar A. Elgarayhi Mohammed M Elmogy M. Sallah 21 0 0 01 Aug 2022
Guiding Machine Perception with Psychophysics Justin Dulay Sonia Poltoratski Till S. Hartmann Samuel E. Anthony Walter J. Scheirer 29 3 0 05 Jul 2022
Delving into the Openness of CLIP Shuhuai Ren Lei Li Xuancheng Ren Guangxiang Zhao Xu Sun VLM 28 13 0 04 Jun 2022
Benchmarking of Deep Learning models on 2D Laminar Flow behind Cylinder Mritunjay Musale Vaibhav Vasani AI4CE 21 0 0 26 May 2022
Application of belief functions to medical image segmentation: A review Ling Huang S. Ruan Thierry Denoeux EDL MedIm 27 30 0 03 May 2022
Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma Liangrui Pan Hetian Wang Lian-min Wang Boya Ji Mingting Liu M. Chongcheawchamnan Yuan Jin Shaoliang Peng ViT MedIm 17 34 0 29 Apr 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Jean-Christophe Gagnon-Audet Kartik Ahuja Mohammad Javad Darvishi Bayazi Pooneh Mousavi G. Dumas Irina Rish OOD CML AI4TS 32 29 0 18 Mar 2022
FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model Javad Hassannataj Joloudari Hamid Saadatfar Mohammad Ghasemigol R. Alizadehsani Z. Sani F. Hasanzadeh Edris Hassannataj Danial Sharifrazi Zulkefli Mansor 31 11 0 09 Feb 2022
Power-Based Attacks on Spatial DNN Accelerators Ge Li Mohit Tiwari Michael Orshansky 38 8 0 28 Aug 2021
Modality specific U-Net variants for biomedical image segmentation: A survey Narinder Singh Punn Sonali Agarwal SSeg 32 144 0 09 Jul 2021
Parasitic Egg Detection and Classification in Low-cost Microscopic Images using Transfer Learning Thanaphon Suwannaphong Sawaphob Chavana Sahapol Tongsom D. Palasuwan T. Chalidabhongse Nantheera Anantrasirichai 13 26 0 02 Jul 2021
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching Quande Liu Hongzhen Yang Qi Dou Pheng-Ann Heng FedML 35 76 0 16 Jun 2021
An Approach Towards Physics Informed Lung Ultrasound Image Scoring Neural Network for Diagnostic Assistance in COVID-19 Mahesh Raveendranatha Panicker Yale Tung Chen Gayathri Malamal N. MadhavanunniA. K. Narayan C. Kesavadas A. P. Vinod 21 2 0 13 Jun 2021
A survey on shape-constraint deep learning for medical image segmentation Simon Bohlender Ilkay Oksuz Anirban Mukhopadhyay 3DV 36 34 0 19 Jan 2021
Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning Kaleem Nawaz Khan Faiq Ahmad Khan A. Abid T. Ölmez Z. Dokur Amith Khandakar M. Chowdhury Muhammad Salman Khan 21 37 0 15 Dec 2020
A Transfer Learning Based Active Learning Framework for Brain Tumor Classification Ruqian Hao Khashayar Namdar Lin Liu Farzad Khalvati MedIm 16 48 0 16 Nov 2020
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey Rosana El Jurdia Caroline Petitjean P. Honeine V. Cheplygina F. Abdallah SSeg MedIm 33 79 0 16 Nov 2020
U-Net and its variants for medical image segmentation: theory and applications N. Siddique Sidike Paheding Colin P. Elkin Vijay Devabhaktuni SSeg 25 1,044 0 02 Nov 2020
Towards an Automatic Analysis of CHO-K1 Suspension Growth in Microfluidic Single-cell Cultivation Dominik Stallmann Jan Philip Göpfert Julian Schmitz A. Grünberger Barbara Hammer 34 6 0 20 Oct 2020
Uncertainty Sets for Image Classifiers using Conformal Prediction Anastasios Nikolas Angelopoulos Stephen Bates Jitendra Malik Michael I. Jordan UQCV 24 317 0 29 Sep 2020
A Benchmark of Medical Out of Distribution Detection Tianshi Cao Chinwei Huang D. Y. Hui Joseph Paul Cohen OOD 24 58 0 08 Jul 2020
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning Yuankai Huo Jinzheng Cai Chi-Tung Cheng Ashwin Raju K. Yan Bennett A. Landman Jing Xiao Le Lu Chien-Hung Liao Adam P. Harrison MedIm 24 11 0 28 Jun 2020
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks Ruqian Hao Khashayar Namdar Lin Liu M. Haider Farzad Khalvati MedIm 18 57 0 01 Jun 2020
Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms H. Maghdid Aras T. Asaad K. Ghafoor A. Sadiq M. Khan 14 403 0 31 Mar 2020
A Novel AI-enabled Framework to Diagnose Coronavirus COVID 19 using Smartphone Embedded Sensors: Design Study H. Maghdid K. Ghafoor A. Sadiq K. Curran Danda B. Rawat Khaled Maaiuf Rabie 6 251 0 16 Mar 2020
Interpretability of machine learning based prediction models in healthcare Gregor Stiglic Primož Kocbek Nino Fijačko Marinka Zitnik K. Verbert Leona Cilar AI4CE 35 373 0 20 Feb 2020
Automatic detection and counting of retina cell nuclei using deep learning S. Hosseini Hao Chen M. Jablonski 31 11 0 10 Feb 2020
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation Junhao Wen Elina Thibeau-Sutre Mauricio Diaz-Melo J. Samper-González A. Routier Simona Bottani Didier Dormont S. Durrleman Ninon Burgos O. Colliot 25 506 0 16 Apr 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 29 200 0 15 Feb 2019
Evolving the pulmonary nodules diagnosis from classical approaches to deep learning aided decision support: three decades development course and future prospect Bo Liu Wenhao Chi Xinran Li Peng Li W. Liang Haiping Liu Wei Wang Jianxing He 21 69 0 23 Jan 2019
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation Jishnu Mukhoti Y. Gal UQCV BDL 33 219 0 30 Nov 2018
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing Ryosuke Furuta Naoto Inoue T. Yamasaki 24 52 0 10 Nov 2018