Med3D: Transfer Learning for 3D Medical Image Analysis

1 April 2019

Papers citing "Med3D: Transfer Learning for 3D Medical Image Analysis"

50 / 81 papers shown

Title
Metrics that matter: Evaluating image quality metrics for medical image generation Yash Deo Yan Jia T. Lassila William A. P. Smith T. Lawton Siyuan Kang Alejandro F. Frangi Ibrahim Habli 62 0 0 12 May 2025
Multi-Modal Explainable Medical AI Assistant for Trustworthy Human-AI Collaboration Honglong Yang Shanshan Song Yi Qin Lehan Wang Haonan Wang Xinpeng Ding Qixiang Zhang Bodong Du Xuelong Li LM&MA 41 0 0 11 May 2025
Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis Zhongying Deng Haoyu Wang Ziyan Huang Li Zhang Angelica I Aviles-Rivero Chaoyu Liu Junjun He Zoe Kourtzi Carola-Bibiane Schönlieb MedIm AI4CE 62 0 0 01 May 2025
Anatomical Similarity as a New Metric to Evaluate Brain Generative Models Bahram Jafrasteh Wei Peng Cheng Wan Yimin Luo Ehsan Adeli Qingyu Zhao DiffM MedIm 69 0 0 30 Apr 2025
Towards a deep learning approach for classifying treatment response in glioblastomas Ana Matoso Catarina Passarinho Marta P. Loureiro José Maria Moreira Patrícia Figueiredo Rita G. Nunes AI4CE 36 0 0 25 Apr 2025
Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI Segmentations Ruijie Wang Luca Rossetto Susan Mérillat Christina Röcke Mike Martin Abraham Bernstein DiffM MedIm 71 0 0 15 Apr 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 41 0 0 01 Mar 2025
SYN-LUNGS: Towards Simulating Lung Nodules with Anatomy-Informed Digital Twins for AI Training F. I. Tushar Lavsen Dahal Cindy McCabe Fong Chi Ho Paul Segars E. Abadi Kyle J. Lafata Ehsan Samei J. Lo MedIm AI4CE 79 1 0 28 Feb 2025
Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image Synthesis Yifan Jiang Yannick Lemaréchal Josée Bafaro Jessica Abi-Rjeile Philippe Joubert Philippe Després Venkata Manem MedIm DiffM 72 1 0 24 Feb 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? Wenxuan Li Alan Yuille Zongwei Zhou MedIm 65 8 0 20 Jan 2025
Guiding the classification of hepatocellular carcinoma on 3D CT-scans using deep and handcrafted radiological features E. Sarfati A. Bône M-M. Rohé C. Aubé M. Ronot P. Gori I. Bloch 69 0 0 14 Jan 2025
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications Yongrui Yu Yannian Gu Shanghang Zhang Xiaofan Zhang MedIm 70 2 0 20 Oct 2024
Devil is in Details: Locality-Aware 3D Abdominal CT Volume Generation for Self-Supervised Organ Segmentation Yuran Wang Zhijing Wan Yansheng Qiu Zheng Wang DiffM MedIm 34 0 0 30 Sep 2024
Cyclic 2.5D Perceptual Loss for Cross-Modal 3D Medical Image Synthesis: T1w MRI to Tau PET Symac Kim Junho Moon Haejun Chung Ikbeom Jang MedIm 57 0 0 18 Jun 2024
Federated and Transfer Learning for Cancer Detection Based on Image Analysis Amine Bechar Y. Elmir Yassine Himeur Rafik Medjoudj Abbes Amira MedIm 51 4 0 30 May 2024
Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography Jie Liu Yixiao Zhang Kang Wang Mehmet Can Yavuz Xiaoxi Chen ... Haoliang Li Yang Yang Alan Yuille Yucheng Tang Zongwei Zhou MedIm VLM 67 17 0 28 May 2024
Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer Chi-en Amy Tai Alexander Wong 37 1 0 13 May 2024
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets F. I. Tushar Avivah Wang Lavsen Dahal Michael R. Harowicz Kyle J. Lafata Tina D. Tailor Joseph Y. Lo 49 3 0 07 May 2024
CMViM: Contrastive Masked Vim Autoencoder for 3D Multi-modal Representation Learning for AD classification Guangqian Yang Kangrui Du Zhihan Yang Ye Du Yongping Zheng Shujun Wang 50 16 0 25 Mar 2024
Med3DInsight: Enhancing 3D Medical Image Understanding with 2D Multi-Modal Large Language Models Qiuhui Chen Huping Ye Yi Hong MedIm 61 1 0 08 Mar 2024
Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation Ryu Tadokoro Ryosuke Yamada Kodai Nakashima Ryo Nakamura Hirokatsu Kataoka 43 4 0 08 Jan 2024
AliFuse: Aligning and Fusing Multi-modal Medical Data for Computer-Aided Diagnosis Qiuhui Chen Yi Hong MedIm 43 1 0 02 Jan 2024
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs F. Behrendt Debayan Bhattacharya R. Mieling Lennart Maack Julia Kruger R. Opfer Alexander Schlaefer DiffM MedIm 37 10 0 07 Dec 2023
A 3D generative model of pathological multi-modal MR images and segmentations Virginia Fernandez W. H. Pinaya Pedro Borges M. Graham Tom Vercauteren M. Jorge Cardoso MedIm 31 6 0 08 Nov 2023
Three-dimensional Bone Image Synthesis with Generative Adversarial Networks Christoph Angermann Johannes Bereiter-Payr Kerstin Stock Markus Haltmeier Gerald Degenhart MedIm 35 1 0 26 Oct 2023
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis Ece Ozkan Xavier Boix OOD 38 0 0 10 Oct 2023
UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training Jiayu Lei Lisong Dai Haoyun Jiang Chaoyi Wu Xiaoman Zhang ... Weidi Xie Yanyong Zhang Yuehua Li Ya Zhang Yanfeng Wang 37 10 0 13 Sep 2023
Sparse annotation strategies for segmentation of short axis cardiac MRI J. Stein Maxime Di Folco Julia A. Schnabel 36 1 0 24 Jul 2023
Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer Xiang Gao Shulan Ruan Jun Shi Guo-Qing Hu Wei Wei 21 2 0 26 Jun 2023
Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model Junying Meng Weihong Guo Jun Liu Mingrui Yang 26 1 0 25 Jun 2023
Language-aware Multiple Datasets Detection Pretraining for DETRs Jing Hao Song Chen Xiaodi Wang Shumin Han ObjD 41 3 0 07 Apr 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation Julio Silva-Rodríguez Jose Dolz Ismail Ben Ayed 70 13 0 29 Mar 2023
A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study Yaozhi Lu S. Aslani A. Zhao Ahmed H. Shahin D. Barber M. Emberton Daniel C. Alexander Joseph Jacob 50 7 0 19 Mar 2023
Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models Umang Gupta Tamoghna Chattopadhyay Nikhil J. Dhinagar Paul M. Thompson Greg Ver Steeg The Alzheimer’s Disease Neuroimaging Initiative MedIm 65 7 0 02 Mar 2023
A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imaging D. Kollias Anastasios Arsenos Stefanos D. Kollias AI4CE 52 36 0 01 Mar 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images K. Yu Li Sun Junxiang Chen Maxwell Reynolds Tigmanshu Chaudhary Kayhan Batmanghelich 48 1 0 21 Feb 2023
sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI Xin Zhang Liangxiu Han Lianghao Han Haoming Chen Darren Dancey Daoqiang Zhang MedIm 33 4 0 17 Feb 2023
PAMI: partition input and aggregate outputs for model interpretation Wei Shi Wentao Zhang Weishi Zheng Ruixuan Wang FAtt 73 3 0 07 Feb 2023
Longformer: Longitudinal Transformer for Alzheimer's Disease Classification with Structural MRIs Qiu-hui Chen Yi Hong MedIm 22 12 0 02 Feb 2023
SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations Adway U. Kanhere Pranav Kulkarni Paul H. Yi V. Parekh FedML 33 1 0 17 Jan 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection Jie Liu Yixiao Zhang Jieneng Chen Junfei Xiao Yongyi Lu Bennett A. Landman Yixuan Yuan Alan Yuille Yucheng Tang Zongwei Zhou VLM MedIm 60 200 0 02 Jan 2023
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering D. M. Nguyen Hoangvu Nguyen M. T. N. Truong T. Cao Binh Duc Nguyen Nhat Ho Paul Swoboda Shadi Albarqouni P. Xie Daniel Sonntag SSL 38 21 0 04 Dec 2022
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 42 6 0 27 Nov 2022
Prompt Tuning for Parameter-efficient Medical Image Segmentation Marc Fischer Alexander Bartler Bin Yang SSeg 31 19 0 16 Nov 2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification Junfei Xiao Yutong Bai Alan Yuille Zongwei Zhou MedIm ViT 45 59 0 23 Oct 2022
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective M. Dohopolski Kai Wang Biling Wang T. Bai D. Nguyen David Sher Steve B. Jiang Jing Wang OOD 29 5 0 02 Oct 2022
Brain Imaging Generation with Latent Diffusion Models W. H. Pinaya Petru-Daniel Tudosiu J. Dafflon P. F. D. Costa Virginia Fernandez P. Nachev Sebastien Ourselin M. Jorge Cardoso DiffM MedIm 107 293 0 15 Sep 2022
Enforcing connectivity of 3D linear structures using their 2D projections Doruk Öner Hussein Osman Mateusz Koziñski Pascal Fua 40 6 0 14 Jul 2022
RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment Yiting Lu Jun Fu Xin Li Wei Zhou Sen Liu Xinxin Zhang Congfu Jia Ying Liu Zhibo Chen ViT 23 34 0 13 Jul 2022
Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network Li Sun K. Yu Kayhan Batmanghelich SSL 28 1 0 06 Jul 2022