Title
Recent Advances in Medical Imaging Segmentation: A Survey Fares Bougourzi Abdenour Hadid OOD 44 0 0 14 May 2025
VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation B. K. Das Ajay Singh Gengyan Zhao Han Liu Thomas J. Re D. Comaniciu Eli Gibson Andreas K. Maier ViT MedIm 26 0 0 13 May 2025
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation H. Wang Yifeng Wu Huimin Huang Hongtao Wu Jia-Xuan Jiang ... Hao Zheng Xian Wu Yefeng Zheng Jinping Xu Jing Cheng MedIm 29 0 0 09 May 2025
Regression is all you need for medical image translation Sebastian Rassmann David Kügler Christian Ewert Martin Reuter DiffM MedIm 159 0 0 04 May 2025
Multimodal Masked Autoencoder Pre-training for 3D MRI-Based Brain Tumor Analysis with Missing Modalities Lucas Robinet Ahmad Berjaoui Elizabeth Cohen-Jonathan Moyal 26 0 0 01 May 2025
Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis Zhongying Deng Haoyu Wang Ziyan Huang L. Zhang Angelica I Aviles-Rivero Chaoyu Liu Junjun He Zoe Kourtzi Carola-Bibiane Schönlieb MedIm AI4CE 26 0 0 01 May 2025
MediSee: Reasoning-based Pixel-level Perception in Medical Images Qinyue Tong Ziqian Lu Jun Liu Yangming Zheng Zheming Lu LRM 23 0 0 15 Apr 2025
Multi-modal Contrastive Learning for Tumor-specific Missing Modality Synthesis Minjoo Lim Bogyeong Kang Tae-Eui Kam MedIm 71 0 0 26 Feb 2025
A New Logic For Pediatric Brain Tumor Segmentation Max Bengtsson Elif Keles Gorkem Durak Syed Muhammad Anwar Yuri Velichko M. Linguraru A. Waanders Ulas Bagci 36 1 0 20 Feb 2025
A Self-supervised Multimodal Deep Learning Approach to Differentiate Post-radiotherapy Progression from Pseudoprogression in Glioblastoma A. Gomaa Yixing Huang Pluvio Stephan Katharina Breininger Benjamin Frey ... U. Gaipl Christoph Bert R. Fietkau M. Schmidt F. Putz 84 0 0 06 Feb 2025
AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation Aghiles Kebaili J. Lapuyade-Lahorgue P. Vera S. Ruan DiffM MedIm 45 0 0 22 Jan 2025
A generalizable 3D framework and model for self-supervised learning in medical imaging Tony Xu Sepehr Hosseini Chris Anderson Anthony Rinaldi Rahul G. Krishnan Anne L. Martel Maged Goubran MedIm 45 3 0 20 Jan 2025
A Comprehensive Survey of Foundation Models in Medicine Wasif Khan Seowung Leem Kyle B. See Joshua K. Wong Shaoting Zhang R. Fang AI4CE LM&MA VLM 105 18 0 17 Jan 2025
UniMo: Universal Motion Correction For Medical Images without Network Retraining Jian Wang Razieh Faghihpirayesh Danny Joca Polina Golland Ali Gholipour 37 0 0 03 Jan 2025
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation Muhammad Irfan Khan Elina Kontio Suleiman A. Khan Mojtaba Jafaritadi FedML 46 0 0 31 Dec 2024
Personalize to generalize: Towards a universal medical multi-modality generalization through personalization Zhaorui Tan Xi Yang Tan Pan Tianyi Liu Chen Jiang ... Qiufeng Wang Anh Nguyen Yuan Qi K. Huang Yuan-Chia Cheng AI4CE LM&MA 39 0 0 09 Nov 2024
Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging Daniel Capellán-Martín Zhifan Jiang Abhijeet Parida Xinyang Liu Van Lam ... Austin Tapp Sarah Elsharkawi María J. Ledesma-Carbayo Syed Muhammad Anwar M. Linguraru 31 3 0 12 Sep 2024
A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation Andrea Failla Salvatore Citraro Xiaoxi He Yi-Lun Pan Yunpeng Cai MedIm 24 4 0 02 Aug 2024
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer Sungmin Kang Jaeha Song Jihie Kim MedIm 34 2 0 01 Aug 2024
Completed Feature Disentanglement Learning for Multimodal MRIs Analysis Tianling Liu Hongying Liu Fanhua Shang Lequan Yu Tong Han Liang Wan 42 1 0 06 Jul 2024
Contour-weighted loss for class-imbalanced image segmentation Zhhengyong Huang Yao Sui 42 3 0 07 Jun 2024
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge D. Labella Ujjwal Baid O. Khanna Shan McBurney-Lin Ryan McLean ... A. Abouelatta Tanvir Rizvi Klara Willms Dann C. Martin Abdullah Okar 36 7 0 16 May 2024
On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks F. Maani Anees Ur Rehman Hashmi Numan Saeed Mohammad Yaqub 27 2 0 05 May 2024
X-Diffusion: Generating Detailed 3D MRI Volumes From a Single Image Using Cross-Sectional Diffusion Models Emmanuelle Bourigault Abdullah Hamdi Amir Jamaludin MedIm 54 2 0 30 Apr 2024
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images Chaoqin Huang Aofan Jiang Jinghao Feng Ya-Qin Zhang Xinchao Wang Yanfeng Wang MedIm 42 25 0 19 Mar 2024
Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective Yu Cai Hao Chen Kwang-Ting Cheng MedIm 16 9 0 14 Mar 2024
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor Segmentation Tianyi Ren Ethan Honey Harshitha Rebala Abhishek Sharma Agamdeep Chopra Mehmet Kurt 11 5 0 10 Feb 2024
Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet S. Pandey Satyasaran Changdar Mathias Perslev Erik Dam 20 1 0 12 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 17 10 0 07 Dec 2023
Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI Ziyun Liang Harry Anthony Felix Wagner Konstantinos Kamnitsas DiffM MedIm 19 9 0 30 Aug 2023
Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation Liam Chalcroft Ruben Lourencco Pereira Mikael Brudfors Andrew S. Kayser M. D’Esposito Cathy J. Price Ioannis Pappas John Ashburner ViT 3DV MedIm 19 8 0 14 Aug 2023
Cross-dimensional transfer learning in medical image segmentation with deep learning Hicham Messaoudi Ahror Belaid Douraied BEN SALEM Pierre-Henri Conze MedIm 22 23 0 29 Jul 2023
Multi-layer Aggregation as a key to feature-based OOD detection Benjamin Lambert Florence Forbes Senan Doyle M. Dojat 30 5 0 28 Jul 2023
Efficient Subclass Segmentation in Medical Images Linrui Dai Wenhui Lei Xiaofan Zhang 19 1 0 01 Jul 2023
Computational Modeling of Deep Multiresolution-Fractal Texture and Its Application to Abnormal Brain Tissue Segmentation A. Temtam Linmin Pei Khan M. Iftekharuddin 18 0 0 07 Jun 2023
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model H. Iqbal Umar Khalid Jing Hua C. L. P. Chen DiffM MedIm 33 24 0 31 May 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs) A. Kazerooni Nastaran Khalili Xinyang Liu Debanjan Haldar Zhifan Jiang ... Adam C. Resnick B. Rood A. Vossough Spyridon Bakas M. Linguraru 20 46 0 26 May 2023
PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentation Cilin Yan Haochen Wang Jie Liu Xiaolong Jiang Yao Hu Xu Tang Guoliang Kang E. Gavves VLM 29 0 0 23 Apr 2023
fRegGAN with K-space Loss Regularization for Medical Image Translation Ivo M. Baltruschat Felix Kreis A. Hoelscher Melanie Dohmen Matthias Lenga GAN MedIm 27 3 0 28 Mar 2023
An End-to-End Framework For Universal Lesion Detection With Missing Annotations Xiaoyu Bai Yong-quan Xia MedIm 33 3 0 27 Mar 2023
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation Saikat Roy Gregor Koehler Constantin Ulrich Michael Baumgartner Jens Petersen Fabian Isensee Paul F. Jaeger Klaus Maier-Hein ViT MedIm 24 139 0 17 Mar 2023
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data Tianyu Zhang T. Tan Luyi Han Xin Eric Wang Yuan Gao Jonas Teuwen R. Beets-Tan R. Mann MedIm 19 1 0 03 Feb 2023
Review of methods for automatic cerebral microbleeds detection M. Ferlin Zuzanna Klawikowska M. Grochowski Malgorzata Grzywiñska E. Szurowska 10 0 0 31 Jan 2023
Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution Ramy A. Zeineldin Mohamed E. Karar Oliver Burgert Franziska Mathis-Ullrich 14 30 0 19 Dec 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey A. Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz I. Hacihaliloglu Dorit Merhof DiffM MedIm 40 357 0 14 Nov 2022
Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report Pouria Rouzrokh Bardia Khosravi S. Faghani Mana Moassefi Sanaz Vahdati Bradley J. Erickson DiffM MedIm 57 24 0 21 Oct 2022
Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO) Satrajit Chakrabarty S. A. Abidi Mina S. Mousa Mahati Mokkarala Isabelle Hren ... Yuzhuo Su Sherry Thorpe Caroline Chung Aristeidis Sotiras Daniel S. Marcus 30 8 0 06 Oct 2022
Automated ischemic stroke lesion segmentation from 3D MRI M. R. Siddiquee Dong Yang Yufan He Daguang Xu Andriy Myronenko 20 8 0 20 Sep 2022
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients J. Nalepa Krzysztof Kotowski B. Machura Szymon Adamski O. Bożek ... Marek Strzelczak Lukasz Zarudzki A. Krason F. Arcadu J. Tessier 13 18 0 03 Sep 2022
Open-radiomics: A Collection of Standardized Datasets and a Technical Protocol for Reproducible Radiomics Machine Learning Pipelines Khashayar Namdar Matthias W. Wagner B. Ertl-Wagner Farzad Khalvati AI4CE 13 1 0 29 Jul 2022