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ORCIDIEEE Transactions on Medical Imaging, Volume 43
Volume 43, Number 1, January 2024
- Qingsong Xie
, Yuexiang Li, Nanjun He, Munan Ning, Kai Ma, Guoxing Wang, Yong Lian, Yefeng Zheng:
Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training. 4-14 - Zeyuan Chen, Yuanjie Zheng, James C. Gee:
TransMatch: A Transformer-Based Multilevel Dual-Stream Feature Matching Network for Unsupervised Deformable Image Registration. 15-27 - Wolfgang Noichl, Fabio De Marco, Konstantin Willer, Theresa Urban, Manuela Frank, Rafael Schick, Bernhard Gleich, Lorenz Hehn, Alex Gustschin, Pascal Meyer, Thomas Köhler, Ingo Maack, Klaus-Jürgen Engel, Bernd Lundt, Bernhard Renger, Alexander Fingerle, Daniela Pfeiffer, Ernst J. Rummeny, Julia Herzen, Franz Pfeiffer:
Correction for Mechanical Inaccuracies in a Scanning Talbot-Lau Interferometer. 28-38 - Suzhong Fu, Jing Xu, Shilong Chang, Luyao Yang, Shuting Ling, Jinghan Cai, Jiayin Chen, Jiacheng Yuan, Ying Cai, Bei Zhang, Zicheng Huang, Kun Yang, Wenhai Sui, Linyan Xue, Qingliang Zhao:
Robust Vascular Segmentation for Raw Complex Images of Laser Speckle Contrast Based on Weakly Supervised Learning. 39-50 - Ruipeng Zhang, Binjie Qin, Jun Zhao, Yueqi Zhu, Yisong Lv, Song Ding:
Locating X-Ray Coronary Angiogram Keyframes via Long Short-Term Spatiotemporal Attention With Image-to-Patch Contrastive Learning. 51-63 - Jiajia Li, Pingping Zhang, Teng Wang, Lei Zhu, Ruhan Liu, Xia Yang, Kaixuan Wang, Dinggang Shen, Bin Sheng:
DSMT-Net: Dual Self-Supervised Multi-Operator Transformation for Multi-Source Endoscopic Ultrasound Diagnosis. 64-75 - Jiaojiao Zhang, Shuo Zhang, Xiaoqian Shen, Thomas Lukasiewicz, Zhenghua Xu:
Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation. 76-95 - Zihan Li, Yunxiang Li, Qingde Li, Puyang Wang, Dazhou Guo, Le Lu, Dakai Jin, You Zhang, Qingqi Hong:
LViT: Language Meets Vision Transformer in Medical Image Segmentation. 96-107 - Yanwu Yang, Chenfei Ye, Xutao Guo, Tao Wu, Yang Xiang, Heather Ting Ma:
Mapping Multi-Modal Brain Connectome for Brain Disorder Diagnosis via Cross-Modal Mutual Learning. 108-121 - Qiyang Zhang, Yingying Hu, Yumo Zhao, Jing Cheng, Wei Fan, Debin Hu, Fuxiao Shi, Shuangliang Cao, Yun Zhou, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu:
Deep Generalized Learning Model for PET Image Reconstruction. 122-134 - Samuel Beuret, Jean-Philippe Thiran:
Windowed Radon Transform and Tensor Rank-1 Decomposition for Adaptive Beamforming in Ultrafast Ultrasound. 135-148 - Lianyu Zhou, Lequan Yu, Liansheng Wang:
RECIST-Induced Reliable Learning: Geometry-Driven Label Propagation for Universal Lesion Segmentation. 149-161 - Shaohua Zhi, Yinghui Wang, Haonan Xiao, Ti Bai, Bing Li, Yunsong Tang, Chenyang Liu, Wen Li, Tian Li, Hong Ge, Jing Cai:
Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI With Simultaneous Motion Estimation and Super-Resolution. 162-174 - Wenhui Lei, Qi Su, Tianyu Jiang, Ran Gu, Na Wang, Xinglong Liu, Guotai Wang, Xiaofan Zhang, Shaoting Zhang:
One-Shot Weakly-Supervised Segmentation in 3D Medical Images. 175-189 - Meilu Zhu, Jing Liao, Jun Liu, Yixuan Yuan:
FedOSS: Federated Open Set Recognition via Inter-Client Discrepancy and Collaboration. 190-202 - Daniel H. Pak, Minliang Liu, Theodore Kim, Liang Liang, Andrés Caballero, John A. Onofrey, Shawn S. Ahn, Yilin Xu, Raymond McKay, Wei Sun, Rudolph L. Gleason, James S. Duncan:
Patient-Specific Heart Geometry Modeling for Solid Biomechanics Using Deep Learning. 203-215 - Jingxiong Li, Sunyi Zheng, Zhongyi Shui, Shichuan Zhang, Linyi Yang, Yuxuan Sun, Yunlong Zhang, Honglin Li, Yuanxin Ye, Peter M. A. van Ooijen, Kang Li, Lin Yang:
Masked Conditional Variational Autoencoders for Chromosome Straightening. 216-228 - Xinlu Tang, Chencheng Zhang, Rui Guo, Xinling Yang, Xiaohua Qian:
A Causality-Aware Graph Convolutional Network Framework for Rigidity Assessment in Parkinsonians. 229-240 - Ioannis Lagogiannis, Felix Meissen, Georgios Kaissis, Daniel Rueckert:
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art. 241-252 - Karin A. van Garderen, Sebastian R. van der Voort, Maarten M. J. Wijnenga, Fatih Incekara, Ahmad Alafandi, Georgios Kapsas, Renske Gahrmann, Joost W. Schouten, Hendrikus J. Dubbink, Arnaud J. P. E. Vincent, Martin J. van den Bent, Pim J. French, Marion Smits, Stefan Klein:
Evaluating the Predictive Value of Glioma Growth Models for Low-Grade Glioma After Tumor Resection. 253-263 - Yutong Ban, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Ozanan R. Meireles, Daniela Rus, Guy Rosman:
Concept Graph Neural Networks for Surgical Video Understanding. 264-274 - Cong Gao, Anqi Feng, Xingtong Liu, Russell H. Taylor, Mehran Armand, Mathias Unberath:
A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers. 275-285 - Rodrigo A. Lobos, Chin-Cheng Chan, Justin P. Haldar:
New Theory and Faster Computations for Subspace-Based Sensitivity Map Estimation in Multichannel MRI. 286-296 - Jiacheng Wang, Yueming Jin, Danail Stoyanov, Liansheng Wang:
FedDP: Dual Personalization in Federated Medical Image Segmentation. 297-308 - Yinglin Zhang, Ruiling Xi, Lingxi Zeng, Dave Towey, Ruibin Bai, Risa Higashita, Jiang Liu:
Structural Priors Guided Network for the Corneal Endothelial Cell Segmentation. 309-320 - Alper Güngör, Baris Askin, Damla Alptekin Soydan, Can Baris Top, Emine Ulku Saritas, Tolga Çukur:
DEQ-MPI: A Deep Equilibrium Reconstruction With Learned Consistency for Magnetic Particle Imaging. 321-334 - Lie Ju, Zhen Yu, Lin Wang, Xin Zhao, Xin Wang, C. Paul Bonnington, Zongyuan Ge:
Hierarchical Knowledge Guided Learning for Real-World Retinal Disease Recognition. 335-350 - Jungkyu Park, Jakub Chledowski, Stanislaw Jastrzebski, Jan Witowski, Yanqi Xu, Linda Du, Sushma Gaddam, Eric Kim, Alana Lewin, Ujas Parikh, Anastasia Plaunova, Sardius Chen, Alexandra Millet, James Park, Kristine Pysarenko, Shalin Patel, Julia Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras:
An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects. 351-365 - S. Neda Ahmadi Amiri, Michael Y. Tsang, Ang Nan Gu, Teresa S. M. Tsang, Purang Abolmaesumi:
Transformer-Based Spatio-Temporal Analysis for Classification of Aortic Stenosis Severity From Echocardiography Cine Series. 366-376 - Raymond Joseph Acciavatti, Chloe J. Choi, Trevor Lewis Vent, Bruno Barufaldi, Eric A. Cohen, E. Paul Wileyto, Andrew D. A. Maidment:
Non-Isocentric Geometry for Next-Generation Tomosynthesis With Super-Resolution. 377-391 - Chong Wang, Yuanhong Chen, Fengbei Liu, Michael Elliott, Chun Fung Kwok, Carlos A. Peña-Solórzano, Helen Frazer, Davis James McCarthy, Gustavo Carneiro:
An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning. 392-404 - Lingyun Wu, Xiang Gao, Zhiqiang Hu, Shaoting Zhang:
Pattern-Aware Transformer: Hierarchical Pattern Propagation in Sequential Medical Images. 405-415 - Yiyue Li, Guangwu Qian, Xiaoshuang Jiang, Zekun Jiang, Wen Wen, Shaoting Zhang, Kang Li, Qicheng Lao:
Hierarchical-Instance Contrastive Learning for Minority Detection on Imbalanced Medical Datasets. 416-426 - Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu:
Developing Explainable Deep Model for Discovering Novel Control Mechanism of Neuro-Dynamics. 427-438 - Chim Lee Cheung, Mengjie Wu, Ge Fang, Justin D. L. Ho, Liyuan Liang, Kel Vin Tan, Fa-Hsuan Lin, Hing-Chiu Chang, Ka-Wai Kwok:
Omnidirectional Monolithic Marker for Intra-Operative MR-Based Positional Sensing in Closed MRI. 439-448 - Alykhan Sewani, Carlos-Felipe Roa, James J. Zhou, Yara Alawneh, Amaar Quadri, Rene Gilliland-Rocque, Emmanuel Chérin, Andrew Dueck, Christine E. M. Demore, Graham A. Wright, Mohammad Ali Tavallaei:
The CathEye: A Forward-Looking Ultrasound Catheter for Image-Guided Cardiovascular Procedures. 449-458 - Zhiyun Song, Penghui Du, Junpeng Yan, Kailu Li, Jianzhong Shou, Maode Lai, Yubo Fan, Yan Xu:
Nucleus-Aware Self-Supervised Pretraining Using Unpaired Image-to-Image Translation for Histopathology Images. 459-472 - Zhiwei Tan, Fei Shi, Yi Zhou, Jingcheng Wang, Meng Wang, Yuanyuan Peng, Kai Xu, Ming Liu, Xinjian Chen:
A Multi-Scale Fusion and Transformer Based Registration Guided Speckle Noise Reduction for OCT Images. 473-488 - Hong Wang, Qi Xie, Dong Zeng, Jianhua Ma, Deyu Meng, Yefeng Zheng:
OSCNet: Orientation-Shared Convolutional Network for CT Metal Artifact Learning. 489-502 - Chenyuan Bian, Nan Xia, Anmu Xie, Shan Cong, Qian Dong:
Adversarially Trained Persistent Homology Based Graph Convolutional Network for Disease Identification Using Brain Connectivity. 503-516 - Lanzhuju Mei, Yu Fang, Yue Zhao, Xiang Sean Zhou, Min Zhu, Zhiming Cui, Dinggang Shen:
DTR-Net: Dual-Space 3D Tooth Model Reconstruction From Panoramic X-Ray Images. 517-528 - Huy Hoang Nguyen, Matthew B. Blaschko, Simo Saarakkala, Aleksei Tiulpin:
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting From Multimodal Data. 529-541 - Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh Panikkasseril Sethumadhavan, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez:
AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. 542-557 - Kaicong Sun, Qian Wang, Dinggang Shen:
Joint Cross-Attention Network With Deep Modality Prior for Fast MRI Reconstruction. 558-569 - Liang Jin, Shixuan Gu, Donglai Wei, Jason Ken Adhinarta, Kaiming Kuang, Yongjie Jessica Zhang, Hanspeter Pfister, Bingbing Ni, Jiancheng Yang, Ming Li:
: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction. 570-581 - Pengfei Guo, Yiqun Mei, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel:
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer. 582-593 - Wei Li, Guanghai Liu, Haoyi Fan, Zuoyong Li, David Zhang:
Self-Supervised Multi-Scale Cropping and Simple Masked Attentive Predicting for Lung CT-Scan Anomaly Detection. 594-607
Volume 43, Number 2, February 2024
- Ali Hashemi, Chang Cai, Yijing Gao, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe:
Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models. 610-624 - Wentao Hu, Lianglun Cheng, Guoheng Huang, Xiaochen Yuan, Guo Zhong, Chi-Man Pun, Jian Zhou, Muyan Cai:
Learning From Incorrectness: Active Learning With Negative Pre-Training and Curriculum Querying for Histological Tissue Classification. 625-637 - Bingxue Liu, Yongchao Wang, Natalie Fomin-Thunemann, Martin Thunemann, Kivilcim Kiliç, Anna Devor, Xiaojun Cheng, Jiyong Tan, John Jiang, David A. Boas, Jianbo Tang:
Time-Lagged Functional Ultrasound for Multi-Parametric Cerebral Hemodynamic Imaging. 638-648 - Huisi Wu, Baiming Zhang, Cheng Chen, Jing Qin:
Federated Semi-Supervised Medical Image Segmentation via Prototype-Based Pseudo-Labeling and Contrastive Learning. 649-661 - Paul Xing, Jonathan Porée, Brice Rauby, Antoine Malescot, Eric Martineau, Vincent Perrot, Ravi L. Rungta, Jean Provost:
Phase Aberration Correction for In Vivo Ultrasound Localization Microscopy Using a Spatiotemporal Complex-Valued Neural Network. 662-673 - Yating Ling, Yuling Wang, Wenli Dai, Jie Yu, Ping Liang, Dexing Kong:
MTANet: Multi-Task Attention Network for Automatic Medical Image Segmentation and Classification. 674-685 - Yubo Tan, Wen-Da Shen, Ming-Yuan Wu, Gui-Na Liu, Shixuan Zhao, Yang Chen, Kai-Fu Yang, Yong-Jie Li:
Retinal Layer Segmentation in OCT Images With Boundary Regression and Feature Polarization. 686-700 - Fangda Li, Zhiqiang Hu, Wen Chen, Avinash C. Kak:
A Laplacian Pyramid Based Generative H&E Stain Augmentation Network. 701-713 - Vincent Gras, Nicolas Boulant, Michel Luong, Laurent Morel, Nicolas Le Touz, Jean-Pierre Adam, Jean-Christophe Joly:
A Mathematical Analysis of Clustering-Free Local SAR Compression Algorithms for MRI Safety in Parallel Transmission. 714-722 - Xiao Zhang, Kaicong Sun, Dijia Wu, Xiaosong Xiong, Jiameng Liu, Linlin Yao, Shufang Li, Yining Wang, Jun Feng, Dinggang Shen:
An Anatomy- and Topology-Preserving Framework for Coronary Artery Segmentation. 723-733 - Ting Su, Jiongtao Zhu, Xin Zhang, Yuhang Tan, Han Cui, Dong Zeng, Jinchuan Guo, Hairong Zheng, Jianhua Ma, Dong Liang, Yongshuai Ge:
Super Resolution Dual-Energy Cone-Beam CT Imaging With Dual-Layer Flat-Panel Detector. 734-744 - Qi Gao, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan:
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization. 745-759 - Raha Razavi, Gerlind Plonka, Hossein Rabbani:
X-Let's Atom Combinations for Modeling and Denoising of OCT Images by Modified Morphological Component Analysis. 760-770 - Tri Vu, Paul Klippel, Aidan J. Canning, Chenshuo Ma, Huijuan Zhang, Ludmila A. Kasatkina, Yuqi Tang, Jun Xia, Vladislav V. Verkhusha, Tuan Vo-Dinh, Yun Jing, Junjie Yao:
On the Importance of Low-Frequency Signals in Functional and Molecular Photoacoustic Computed Tomography. 771-783 - Louis D. van Harten, Jaap Stoker, Ivana Isgum:
Robust Deformable Image Registration Using Cycle-Consistent Implicit Representations. 784-793 - Liming Zhong, Zeli Chen, Hai Shu, Kaiyi Zheng, Yin Li, Weicui Chen, Yuankui Wu, Jianhua Ma, Qianjin Feng, Wei Yang:
Multi-Scale Tokens-Aware Transformer Network for Multi-Region and Multi-Sequence MR-to-CT Synthesis in a Single Model. 794-806 - Yuxuan Yang, Hao Wang, Jizhou Wang, Kai Dong, Shuai Ding:
Semantic-Preserving Surgical Video Retrieval With Phase and Behavior Coordinated Hashing. 807-819 - Wen Ji, Albert C. S. Chung:
Unsupervised Domain Adaptation for Medical Image Segmentation Using Transformer With Meta Attention. 820-831 - Xiaofei Huang, Hongfang Gong:
A Dual-Attention Learning Network With Word and Sentence Embedding for Medical Visual Question Answering. 832-845 - Veronika Spieker, Hannah Eichhorn, Kerstin Hammernik, Daniel Rueckert, Christine Preibisch, Dimitrios C. Karampinos, Julia A. Schnabel:
Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review. 846-859 - Jingyu Liu, Weigang Cui, Yipeng Chen, Yulan Ma, Qunxi Dong, Ran Cai, Yang Li, Bin Hu:
Deep Fusion of Multi-Template Using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis. 860-873 - Seyed Mohsen Ranjbaran, Hossein S. Aghamiry, Ali Gholami, Stéphane Operto, Kamran Avanaki:
Quantitative Photoacoustic Tomography Using Iteratively Refined Wavefield Reconstruction Inversion: A Simulation Study. 874-885 - Yijun Wang, Rui Lang, Rui Li, Junsong Zhang:
NRTR: Neuron Reconstruction With Transformer From 3D Optical Microscopy Images. 886-898 - Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, Yizhou Yu:
Correction to "A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation". 899
Volume 43, Number 3, March 2024
- Yuanming Zhang, Zheng Li, Xiangmin Han, Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi:
Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images. 902-915 - Jiening Zhu, Harini Veeraraghavan, Jue Jiang, Jung Hun Oh, Larry Norton, Joseph O. Deasy, Allen R. Tannenbaum:
Wasserstein HOG: Local Directionality Extraction via Optimal Transport. 916-927 - Lei Du, Ying Zhao, Jianting Zhang, Muheng Shang, Jin Zhang, Junwei Han:
Identification of Genetic Risk Factors Based on Disease Progression Derived From Longitudinal Brain Imaging Phenotypes. 928-939 - Antonio Ortiz-Gonzalez, Erich Kobler, Stefan Simon, Leon Bischoff, Sebastian Nowak, Alexander Isaak, Wolfgang Block, Alois M. Sprinkart, Ulrike I. Attenberger, Julian A. Luetkens, Eduardo Bayro-Corrochano, Alexander Effland:
Optical Flow-Guided Cine MRI Segmentation With Learned Corrections. 940-953 - Marawan Elbatel, Robert Martí, Xiaomeng Li:
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition. 954-965 - Weiwen Wu, Yanyang Wang, Qiegen Liu, Ge Wang, Jianjia Zhang:
Wavelet-Improved Score-Based Generative Model for Medical Imaging. 966-979 - Yunxiang Li, Hua-Chieh Shao, Xiao Liang, Liyuan Chen, Ruiqi Li, Steve B. Jiang, Jing Wang, You Zhang:
Zero-Shot Medical Image Translation via Frequency-Guided Diffusion Models. 980-993 - Yan Pang, Jiaming Liang, Teng Huang, Hao Chen, Yunhao Li, Dan Li, Lin Huang, Qiong Wang:
Slim UNETR: Scale Hybrid Transformers to Efficient 3D Medical Image Segmentation Under Limited Computational Resources. 994-1005 - Yuchen Pei, Fenqiang Zhao, Tao Zhong, Laifa Ma, Lufan Liao, Zhengwang Wu, Li Wang, He Zhang, Lisheng Wang, Gang Li:
PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains Using Anatomy-Guided Networks. 1006-1017 - Mohsin Challoob, Yongsheng Gao, Andrew Busch:
Distinctive Phase Interdependency Model for Retinal Vasculature Delineation in OCT-Angiography Images. 1018-1032 - Stefano van Gogh, Subhadip Mukherjee, Michal Rawlik, Alexandre Pereira, Simon Spindler, Marie-Christine Zdora, Martin Stauber, Zsuzsanna Varga, Marco Stampanoni:
Data-Driven Gradient Regularization for Quasi-Newton Optimization in Iterative Grating Interferometry CT Reconstruction. 1033-1044 - Yulan Ma, Weigang Cui, Jingyu Liu, Yuzhu Guo, Huiling Chen, Yang Li:
A Multi-Graph Cross-Attention-Based Region-Aware Feature Fusion Network Using Multi-Template for Brain Disorder Diagnosis. 1045-1059 - Li-Wei Fu, Chih-Hao Liu, Manu Jain, Chih-Shan Jason Chen, Yu-Hung Wu, Sheng-Lung Huang, Homer H. Chen:
Training With Uncertain Annotations for Semantic Segmentation of Basal Cell Carcinoma From Full-Field OCT Images. 1060-1070 - Saeed Moazami, Deep Ray, Daniel Pelletier, Assad A. Oberai:
Probabilistic Brain Extraction in MR Images via Conditional Generative Adversarial Networks. 1071-1088 - Jinhong Wang, Zhe Xu, Wenhao Zheng, Haochao Ying, Tingting Chen, Zuozhu Liu, Danny Z. Chen, Ke Yao, Jian Wu:
A Transformer-Based Knowledge Distillation Network for Cortical Cataract Grading. 1089-1101 - Jia Guo, Shuai Lu, Lize Jia, Weihang Zhang, Huiqi Li:
Encoder-Decoder Contrast for Unsupervised Anomaly Detection in Medical Images. 1102-1112 - Xinyu Nie, Jialiang Ruan, María Concepción García Otaduy, Lea Tenenholz Grinberg, John M. Ringman, Yonggang Shi:
Surface-Based Probabilistic Fiber Tracking in Superficial White Matter. 1113-1124 - Mi-Ae Park, Vlad G. Zaha, Ramsey D. Badawi, Spencer L. Bowen:
Supplemental Transmission Aided Attenuation Correction for Quantitative Cardiac PET. 1125-1137 - Samuel Kurtz, Bertrand Wattrisse, Elijah E. W. Van Houten:
Minimizing Measurement-Induced Errors in Viscoelastic MR Elastography. 1138-1148 - Dingyi Rong, Zhongyin Zhao, Yue Wu, Bilian Ke, Bingbing Ni:
Prediction of Myopia Eye Axial Elongation With Orthokeratology Treatment via Dense I2I Based Corneal Topography Change Analysis. 1149-1164 - Dmitrii A. Lachinov, Arunava Chakravarty, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data. 1165-1179 - Yi Zhang, Jiayue Li, Xinyang Li, Min Xie, Md. Tauhidul Islam, Haixian Zhang:
FAOT-Net: A 1.5-Stage Framework for 3D Pelvic Lymph Node Detection With Online Candidate Tuning. 1180-1190 - Fan Zhang, Kang Ik Kevin Cho, Johanna Seitz-Holland, Lipeng Ning, Jon Haitz Legarreta, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell, Ofer Pasternak:
DDParcel: Deep Learning Anatomical Brain Parcellation From Diffusion MRI. 1191-1202 - Peizhou Huang, Chaoyi Zhang, Xiaoliang Zhang, Xiaojuan Li, Dong Liang, Leslie Ying:
Self-Supervised Deep Unrolled Reconstruction Using Regularization by Denoising. 1203-1213 - Janek Gröhl, Thomas R. Else, Lina Hacker, Ellie V. Bunce, Paul W. Sweeney, Sarah E. Bohndiek:
Moving Beyond Simulation: Data-Driven Quantitative Photoacoustic Imaging Using Tissue-Mimicking Phantoms. 1214-1224 - Yinhao Liang, Wenjie Tang, Ting Wang, Wing W. Y. Ng, Siyi Chen, Kuiming Jiang, Xinhua Wei, Xinqing Jiang, Yuan Guo:
HRadNet: A Hierarchical Radiomics-Based Network for Multicenter Breast Cancer Molecular Subtypes Prediction. 1225-1236 - Jicheng Liu, Hui Liu, Huazhu Fu, Yu Ye, Kun Chen, Yu Lu, Jianbo Mao, Ronald X. Xu, Mingzhai Sun:
Edge-Guided Contrastive Adaptation Network for Arteriovenous Nicking Classification Using Synthetic Data. 1237-1246 - Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Didier Mutter, Nicolas Padoy:
Latent Graph Representations for Critical View of Safety Assessment. 1247-1258 - Mengyun Qiao, Shuo Wang, Huaqi Qiu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Wenjia Bai:
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy. 1259-1269
Volume 43, Number 4, April 2024
- Rudolf L. M. van Herten, Nils Hampe, Richard A. P. Takx, Klaas Jan Franssen, Yining Wang, Dominika Suchá, José P. Henriques, Tim Leiner, Nils Planken, Ivana Isgum:
Automatic Coronary Artery Plaque Quantification and CAD-RADS Prediction Using Mesh Priors. 1272-1283 - Han Yang, Qiuli Wang, Yue Zhang, Zhulin An, Chen Liu, Xiaohong Zhang, S. Kevin Zhou:
Lung Nodule Segmentation and Uncertain Region Prediction With an Uncertainty-Aware Attention Mechanism. 1284-1295 - Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
Adversarial Medical Image With Hierarchical Feature Hiding. 1296-1307 - Min Liu, Yubin Han, Jiazheng Wang, Can Wang, Yaonan Wang, Erik Meijering:
LSKANet: Long Strip Kernel Attention Network for Robotic Surgical Scene Segmentation. 1308-1322 - Heng Li, Ziqin Lin, Zhongxi Qiu, Zinan Li, Ke Niu, Na Guo, Huazhu Fu, Yan Hu, Jiang Liu:
Enhancing and Adapting in the Clinic: Source-Free Unsupervised Domain Adaptation for Medical Image Enhancement. 1323-1336 - Chen Lin, Zhenfeng Zhu, Yawei Zhao, Ying Zhang, Kunlun He, Yao Zhao:
SGT++: Improved Scene Graph-Guided Transformer for Surgical Report Generation. 1337-1346 - Juzheng Miao, Siping Zhou, Guang-Quan Zhou, Kai-Ni Wang, Meng Yang, Shoujun Zhou, Yang Chen:
SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation. 1347-1364 - Rui Guo, Zhichao Lin, Jingyu Xin, Maokun Li, Fan Yang, Shenheng Xu, Aria Abubakar:
Three Dimensional Microwave Data Inversion in Feature Space for Stroke Imaging. 1365-1376 - Eunsong Kang, Da-Woon Heo, Jiwon Lee, Heung-Il Suk:
A Learnable Counter-Condition Analysis Framework for Functional Connectivity-Based Neurological Disorder Diagnosis. 1377-1387 - Jiabo Ma, Hao Chen:
Efficient Supervised Pretraining of Swin-Transformer for Virtual Staining of Microscopy Images. 1388-1399 - Wonsik Jung, Eunjin Jeon, Eunsong Kang, Heung-Il Suk:
EAG-RS: A Novel Explainability-Guided ROI-Selection Framework for ASD Diagnosis via Inter-Regional Relation Learning. 1400-1411 - Gianpaolo Bontempo, Federico Bolelli, Angelo Porrello, Simone Calderara, Elisa Ficarra:
A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification. 1412-1421 - Fabio De Marco, Jana Andrejewski, Theresa Urban, Konstantin Willer, Lukas Gromann, Thomas Köhler, Hanns-Ingo Maack, Julia Herzen, Franz Pfeiffer:
X-Ray Dark-Field Signal Reduction Due to Hardening of the Visibility Spectrum. 1422-1433 - Ziying Yin, Guoyang Li, Zhaoyi Zhang, Yang Zheng, Yanping Cao:
SWENet: A Physics-Informed Deep Neural Network (PINN) for Shear Wave Elastography. 1434-1448 - Jinhua Liu, Christian Desrosiers, Dexin Yu, Yuanfeng Zhou:
Semi-Supervised Medical Image Segmentation Using Cross-Style Consistency With Shape-Aware and Local Context Constraints. 1449-1461 - Weiyuan Lin, Zhifan Gao, Hui Liu, Heye Zhang:
A Deformable Constraint Transport Network for Optimal Aortic Segmentation From CT Images. 1462-1475 - Pan Liu, Gao Huang, Jing Jing, Suyan Bian, Liuquan Cheng, Xin Yang Lu, Chongyou Rao, Yu Liu, Yun Hua, Yongjun Wang, Kunlun He:
An Energy Matching Vessel Segmentation Framework in 3-D Medical Images. 1476-1488 - Qingjie Meng, Wenjia Bai, Declan P. O'Regan, Daniel Rueckert:
DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep Learning. 1489-1500 - Jiawen Li, Junru Cheng, Lingqin Meng, Hui Yan, Yonghong He, Huijuan Shi, Tian Guan, Anjia Han:
DeepTree: Pathological Image Classification Through Imitating Tree-Like Strategies of Pathologists. 1501-1512 - Jiachen Chen, Mengyang Li, Hu Han, Zhiming Zhao, Xilin Chen:
SurgNet: Self-Supervised Pretraining With Semantic Consistency for Vessel and Instrument Segmentation in Surgical Images. 1513-1525 - Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang:
Ordinal Pattern Tree: A New Representation Method for Brain Network Analysis. 1526-1538 - Ruimin Feng, Qing Wu, Jie Feng, Huajun She, Chunlei Liu, Yuyao Zhang, Hongjiang Wei:
IMJENSE: Scan-Specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI. 1539-1553 - Minghan Fu, Na Zhang, Zhenxing Huang, Chao Zhou, Xu Zhang, Jianmin Yuan, Qiang He, Yongfeng Yang, Hairong Zheng, Dong Liang, Fang-Xiang Wu, Wei Fan, Zhanli Hu:
OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising. 1554-1567 - Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Kun Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang:
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks. 1568-1578 - Samuel Beuret, Baptiste Hériard-Dubreuil, Naiara Korta Martiartu, Michael Jaeger, Jean-Philippe Thiran:
Windowed Radon Transform for Robust Speed-of-Sound Imaging With Pulse-Echo Ultrasound. 1579-1593 - Thomas Payen, Sébastien M. Crouzet, Nicolas Guillen, Yao Chen, Jean-Yves Chapelon, Cyril Lafon, Stefan Catheline:
Passive Elastography for Clinical HIFU Lesion Detection. 1594-1604 - Yinsheng Li, Juan Feng, Jun Xiang, Zixiao Li, Dong Liang:
AIRPORT: A Data Consistency Constrained Deep Temporal Extrapolation Method To Improve Temporal Resolution In Contrast Enhanced CT Imaging. 1605-1618 - Huimin Zhang, Mingyang Ren, Yu Wang, Zhiyuan Jin, Shanxiang Zhang, Jiaqian Liu, Jia Fu, Huan Qin:
In Vivo Microwave-Induced Thermoacoustic Endoscopy for Colorectal Tumor Detection in Deep Tissue. 1619-1627 - Shuangchun Gui, Zhenkun Wang, Jixiang Chen, Xun Zhou, Chen Zhang, Yi Cao:
MT4MTL-KD: A Multi-Teacher Knowledge Distillation Framework for Triplet Recognition. 1628-1639 - Chenhao Pei, Fuping Wu, Mingjing Yang, Lin Pan, Wangbin Ding, Jinwei Dong, Liqin Huang, Xiahai Zhuang:
Multi-Source Domain Adaptation for Medical Image Segmentation. 1640-1651
Volume 43, Number 5, May 2024
- Yuya Onishi, Fumio Hashimoto, Kibo Ote, Ryosuke Ota:
Whole Reconstruction-Free System Design for Direct Positron Emission Imaging From Image Generation to Attenuation Correction. 1654-1663 - Kangfu Han, Gang Li, Zhiwen Fang, Feng Yang:
Multi-Template Meta-Information Regularized Network for Alzheimer's Disease Diagnosis Using Structural MRI. 1664-1676 - Xing Li, Kaili Jing, Yan Yang, Yongbo Wang, Jianhua Ma, Hairong Zheng, Zongben Xu:
Noise-Generating and Imaging Mechanism Inspired Implicit Regularization Learning Network for Low Dose CT Reconstrution. 1677-1689 - Giulia Tuccio, Sajjad Afrakhteh, Giovanni Iacca, Libertario Demi:
Time Efficient Ultrasound Localization Microscopy Based on A Novel Radial Basis Function 2D Interpolation. 1690-1701 - Yutian Zhong, Shuangyang Zhang, Zhenyang Liu, Xiaoming Zhang, Zongxin Mo, Yizhe Zhang, Haoyu Hu, Wufan Chen, Li Qi:
Unsupervised Fusion of Misaligned PAT and MRI Images via Mutually Reinforcing Cross-Modality Image Generation and Registration. 1702-1714 - Along He, Tao Li, Juncheng Yan, Kai Wang, Huazhu Fu:
Bilateral Supervision Network for Semi-Supervised Medical Image Segmentation. 1715-1726 - Jianjun Zhu, Cheng Wang, Yi Zhang, Meixiao Zhan, Wei Zhao, Sitong Teng, Ligong Lu, Gaojun Teng:
3D/2D Vessel Registration Based on Monte Carlo Tree Search and Manifold Regularization. 1727-1739 - Zhi Wei Tay, Han-Joon Kim, John S. Ho, Malini Olivo:
A Magnetic Particle Imaging Approach for Minimally Invasive Imaging and Sensing With Implantable Bioelectronic Circuits. 1740-1752 - Sourya Sengupta, Mark A. Anastasio:
A Test Statistic Estimation-Based Approach for Establishing Self-Interpretable CNN-Based Binary Classifiers. 1753-1765 - Yifei Jin, Ling-Jian Meng:
Exploration of Coincidence Detection of Cascade Photons to Enhance Preclinical Multi-Radionuclide SPECT Imaging. 1766-1781 - Shubham Mandot, Elena Maria Zannoni, Ling Cai, Xingchen Nie, Patrick J. La Rivière, Matthew D. Wilson, Ling-Jian Meng:
A High-Sensitivity Benchtop X-Ray Fluorescence Emission Tomography (XFET) System With a Full-Ring of X-Ray Imaging-Spectrometers and a Compound-Eye Collimation Aperture. 1782-1791 - Xiang Luo, Zhongyu Li, Canhua Xu, Bite Zhang, Liangliang Zhang, Jihua Zhu, Peng Huang, Xin Wang, Meng Yang, Shi Chang:
Semi-Supervised Thyroid Nodule Detection in Ultrasound Videos. 1792-1803 - Yuxi Ma, Jiacheng Wang, Jing Yang, Liansheng Wang:
Model-Heterogeneous Semi-Supervised Federated Learning for Medical Image Segmentation. 1804-1815 - Yuanyuan Chen, Xiaoqing Guo, Yong Xia, Yixuan Yuan:
Disentangle Then Calibrate With Gradient Guidance: A Unified Framework for Common and Rare Disease Diagnosis. 1816-1827 - Zimeng Li, Sa Xiao, Cheng Wang, Haidong Li, Xiuchao Zhao, Caohui Duan, Qian Zhou, Qiuchen Rao, Yuan Fang, Junshuai Xie, Lei Shi, Fumin Guo, Chaohui Ye, Xin Zhou:
Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRI. 1828-1840 - Pei Liu, Luping Ji, Xinyu Zhang, Feng Ye:
Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification. 1841-1852 - Chentao Cao, Zhuo-Xu Cui, Yue Wang, Shaonan Liu, Taijin Chen, Hairong Zheng, Dong Liang, Yanjie Zhu:
High-Frequency Space Diffusion Model for Accelerated MRI. 1853-1865 - Zilong Li, Qi Gao, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan:
Quad-Net: Quad-Domain Network for CT Metal Artifact Reduction. 1866-1879 - Zhihao Chen, Chuang Niu, Qi Gao, Ge Wang, Hongming Shan:
LIT-Former: Linking In-Plane and Through-Plane Transformers for Simultaneous CT Image Denoising and Deblurring. 1880-1894 - Quanmin Liang, Junji Ma, Xi-tian Chen, Qixiang Lin, Ni Shu, Zhengjia Dai, Ying Lin:
A Hybrid Routing Pattern in Human Brain Structural Network Revealed By Evolutionary Computation. 1895-1909 - Piotr Kijanka, Matthew W. Urban:
Ultrasound Shear Elastography With Expanded Bandwidth (USEWEB): A Novel Method for 2D Shear Phase Velocity Imaging of Soft Tissues. 1910-1922 - Hui Zhu, Yi Zeng, Xiran Cai:
Passive Acoustic Mapping for Convex Arrays With the Helical Wave Spectrum Method. 1923-1933 - Zhuoyue Yang, Junjun Pan, Ju Dai, Zhen Sun, Yi Xiao:
Self-Supervised Lightweight Depth Estimation in Endoscopy Combining CNN and Transformer. 1934-1944 - Yan Wang, Liangli Zhen, Tien-En Tan, Huazhu Fu, Yangqin Feng, Zizhou Wang, Xinxing Xu, Rick Siow Mong Goh, Yipin Ng, Claire Calhoun, Gavin Siew Wei Tan, Jennifer K. Sun, Yong Liu, Daniel Shu Wei Ting:
Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis. 1945-1957 - Qianqian Chen, Jiadong Zhang, Runqi Meng, Lei Zhou, Zhenhui Li, Qianjin Feng, Dinggang Shen:
Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis. 1958-1971 - Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen:
Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images. 1972-1982 - Michele Ambrosanio, Martina Teresa Bevacqua, Joe LoVetri, Vito Pascazio, Tommaso Isernia:
In-Vivo Electrical Properties Estimation of Biological Tissues by Means of a Multi-Step Microwave Tomography Approach. 1983-1994 - Han Liu, Zhoubing Xu, Riqiang Gao, Hao Li, Jianing Wang, Guillaume Chabin, Ipek Oguz, Sasa Grbic:
COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training. 1995-2009 - Kevinminh Ta, Shawn S. Ahn, Stephanie Thorn, John C. Stendahl, Xiaoran Zhang, Jonathan Langdon, Lawrence H. Staib, Albert J. Sinusas, James S. Duncan:
Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography. 2010-2020 - Guillaume Vray, Devavrat Tomar, Behzad Bozorgtabar, Jean-Philippe Thiran:
Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology. 2021-2032
Volume 43, Number 6, June 2024
- Se-In Jang, Tinsu Pan, Ye Li, Pedram Heidari, Junyu Chen, Quanzheng Li, Kuang Gong:
Spach Transformer: Spatial and Channel-Wise Transformer Based on Local and Global Self-Attentions for PET Image Denoising. 2036-2049 - Coby Penso, Lior Frenkel, Jacob Goldberger:
Confidence Calibration of a Medical Imaging Classification System That is Robust to Label Noise. 2050-2060 - Linus Kreitner, Johannes C. Paetzold, Nikolaus Rauch, Chen Chen, Ahmed M. Hagag, Alaa E. Fayed, Sobha Sivaprasad, Sebastian Rausch, Julian Weichsel, Bjoern H. Menze, Matthias Harders, Benjamin Knier, Daniel Rueckert, Martin J. Menten:
Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations. 2061-2073 - Hailong He, Johannes C. Paetzold, Nils Börner, Erik Riedel, Stefan Gerl, Simon Schneider, Chiara Fisher, Ivan Ezhov, Suprosanna Shit, Hongwei Li, Daniel Rückert, Juan Aguirre, Tilo Biedermann, Ulf Darsow, Bjoern H. Menze, Vasilis Ntziachristos:
Machine Learning Analysis of Human Skin by Optoacoustic Mesoscopy for Automated Extraction of Psoriasis and Aging Biomarkers. 2074-2085 - Chengfeng Zhou, Jun Wang, Suncheng Xiang, Feng Liu, Hefeng Huang, Dahong Qian:
A Simple Normalization Technique Using Window Statistics to Improve the Out-of-Distribution Generalization on Medical Images. 2086-2097 - Bao Yang, Kuang Gong, Huafeng Liu, Quanzheng Li, Wentao Zhu:
Anatomically Guided PET Image Reconstruction Using Conditional Weakly-Supervised Multi-Task Learning Integrating Self-Attention. 2098-2112 - Pengyu Wang, Huaqi Zhang, Meilu Zhu, Xi Jiang, Jing Qin, Yixuan Yuan:
MGIML: Cancer Grading With Incomplete Radiology-Pathology Data via Memory Learning and Gradient Homogenization. 2113-2124 - Jinqiu Xia, Yiwen Zhou, Wenxin Deng, Jing Kang, Wangjiang Wu, Mengke Qi, Linghong Zhou, Jianhui Ma, Yuan Xu:
PND-Net: Physics-Inspired Non-Local Dual-Domain Network for Metal Artifact Reduction. 2125-2136 - Yi Lin, Zeyu Wang, Dong Zhang, Kwang-Ting Cheng, Hao Chen:
BoNuS: Boundary Mining for Nuclei Segmentation With Partial Point Labels. 2137-2147 - Bangyan Huang, Tiantian Li, Gerard Ariño-Estrada, Kamil Dulski, Roman Y. Shopa, Pawel Moskal, Ewa L. Stepien, Jinyi Qi:
SPLIT: Statistical Positronium Lifetime Image Reconstruction via Time-Thresholding. 2148-2158 - Vincent D. Ching-Roa, Chi Z. Huang, Michael G. Giacomelli:
Suppression of Subpixel Jitter in Resonant Scanning Systems With Phase-locked Sampling. 2159-2168 - Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Compositionally Equivariant Representation Learning. 2169-2179 - Hongyu Wang, Jiang He, Hengfei Cui, Bo Yuan, Yong Xia:
Robust Stochastic Neural Ensemble Learning With Noisy Labels for Thoracic Disease Classification. 2180-2190 - Yuming Yang, Huilong Duan, Yinfei Zheng:
Improved Transcranial Plane-Wave Imaging With Learned Speed-of-Sound Maps. 2191-2201 - Ziming Cheng, Shidong Wang, Tong Xin, Tao Zhou, Haofeng Zhang, Ling Shao:
Few-Shot Medical Image Segmentation via Generating Multiple Representative Descriptors. 2202-2214 - Zhenxuan Zhang, Chengjin Yu, Heye Zhang, Zhifan Gao:
Embedding Tasks Into the Latent Space: Cross-Space Consistency for Multi-Dimensional Analysis in Echocardiography. 2215-2228 - Haiqiao Wang, Dong Ni, Yi Wang:
Recursive Deformable Pyramid Network for Unsupervised Medical Image Registration. 2229-2240 - Zhanqiang Guo, Zimeng Tan, Jianjiang Feng, Jie Zhou:
3D Vascular Segmentation Supervised by 2D Annotation of Maximum Intensity Projection. 2241-2253 - Zihan Li, Yuan Zheng, Dandan Shan, Shuzhou Yang, Qingde Li, Beizhan Wang, Yuanting Zhang, Qingqi Hong, Dinggang Shen:
ScribFormer: Transformer Makes CNN Work Better for Scribble-Based Medical Image Segmentation. 2254-2265 - Wei Shao, Hang Shi, Jianxin Liu, Yingli Zuo, Liang Sun, Tiansong Xia, Wanyuan Chen, Peng Wan, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang:
Multi-Instance Multi-Task Learning for Joint Clinical Outcome and Genomic Profile Predictions From the Histopathological Images. 2266-2278 - Kang Li, Yu Zhu, Lequan Yu, Pheng-Ann Heng:
A Dual Enrichment Synergistic Strategy to Handle Data Heterogeneity for Domain Incremental Cardiac Segmentation. 2279-2290 - Mengya Xu, Mobarakol Islam, Long Bai, Hongliang Ren:
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery. 2291-2302 - Hulin Kuang, Yahui Wang, Jin Liu, Jie Wang, Quanliang Cao, Bo Hu, Wu Qiu, Jianxin Wang:
Hybrid CNN-Transformer Network With Circular Feature Interaction for Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans. 2303-2316 - Quan Zhou, Bin Yu, Feng Xiao, Mingyue Ding, Zhiwei Wang, Xuming Zhang:
Robust Semi-Supervised 3D Medical Image Segmentation With Diverse Joint-Task Learning and Decoupled Inter-Student Learning. 2317-2331 - Jiahao Ren, Jian Li, Chang Liu, Shili Chen, Lin Liang, Yang Liu:
Deep Learning With Physics-Embedded Neural Network for Full Waveform Ultrasonic Brain Imaging. 2332-2346 - Zhimei Ren, Emil Y. Sidky, Rina Foygel Barber, Chien-Min Kao, Xiaochuan Pan:
Simultaneous Activity and Attenuation Estimation in TOF-PET With TV-Constrained Nonconvex Optimization. 2347-2357 - Andrew P. Leynes, Nikhil Deveshwar, Srikantan S. Nagarajan, Peder E. Z. Larson:
Scan-Specific Self-Supervised Bayesian Deep Non-Linear Inversion for Undersampled MRI Reconstruction. 2358-2369 - Dana Wegierak, Michaela B. Cooley, Reshani Perera, William J. Wulftange, Umut A. Gurkan, Michael C. Kolios, Agata A. Exner:
Decorrelation Time Mapping as an Analysis Tool for Nanobubble-Based Contrast Enhanced Ultrasound Imaging. 2370-2380 - Qi Zhu, Shengrong Li, Xiangshui Meng, Qiang Xu, Zhiqiang Zhang, Wei Shao, Daoqiang Zhang:
Spatio-Temporal Graph Hubness Propagation Model for Dynamic Brain Network Classification. 2381-2394 - Guangming Ni, Renxiong Wu, Fei Zheng, Meixuan Li, Shaoyan Huang, Xin Ge, Linbo Liu, Yong Liu:
Toward Ground-Truth Optical Coherence Tomography via Three-Dimensional Unsupervised Deep Learning Processing and Data. 2395-2407
Volume 43, Number 7, July 2024
- Nathaniel J. Smith, David T. Newton, David Gunderman, Gary D. Hutchins:
A Comparison of Arterial Input Function Interpolation Methods for Patlak Plot Analysis of 68Ga-PSMA-11 PET Prostate Cancer Studies. 2411-2419 - Jiazhen Pan, Wenqi Huang, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik:
Motion-Compensated MR CINE Reconstruction With Reconstruction-Driven Motion Estimation. 2420-2433 - Li Weng, Zhoule Zhu, Kaixin Dai, Zhe Zheng, Junming Zhu, Hemmings Wu:
Reduced-Reference Learning for Target Localization in Deep Brain Stimulation. 2434-2447 - Muhammad F. A. Chaudhary, Sarah E. Gerard, Gary E. Christensen, Christopher B. Cooper, Joyce D. Schroeder, Eric A. Hoffman, Joseph M. Reinhardt:
LungViT: Ensembling Cascade of Texture Sensitive Hierarchical Vision Transformers for Cross-Volume Chest CT Image-to-Image Translation. 2448-2465 - Lei Li, Julià Camps, Zhinuo Jenny Wang, Marcel Beetz, Abhirup Banerjee, Blanca Rodríguez, Vicente Grau:
Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference. 2466-2478 - Qingshan Hou, Yaqi Wang, Peng Cao, Shuai Cheng, Linqi Lan, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane:
A Collaborative Self-Supervised Domain Adaptation for Low-Quality Medical Image Enhancement. 2479-2494 - Lifang Zhou, Yu Jiang, Weisheng Li, Jun Hu, Shenhai Zheng:
Shape-Scale Co-Awareness Network for 3D Brain Tumor Segmentation. 2495-2508 - Jian Wang, Liang Qiao, Shichong Zhou, Jin Zhou, Jun Wang, Juncheng Li, Shihui Ying, Cai Chang, Jun Shi:
Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers With Partially Annotated Ultrasound Images. 2509-2521 - Junzhang Huang, Xiongfeng Zhu, Ziyang Chen, Guoye Lin, Meiyan Huang, Qianjin Feng:
Pathological Priors Inspired Network for Vertebral Osteophytes Recognition. 2522-2536 - Mengjun Liu, Huifeng Zhang, Mianxin Liu, Dongdong Chen, Zixu Zhuang, Xin Wang, Lichi Zhang, Daihui Peng, Qian Wang:
Randomizing Human Brain Function Representation for Brain Disease Diagnosis. 2537-2546 - Parisa Ghaderi Daneshmand, Hossein Rabbani:
Tensor Ring Decomposition Guided Dictionary Learning for OCT Image Denoising. 2547-2562 - Zhenguo Wang, Yaping Wu, Zeheng Xia, Xinyi Chen, Xiaochen Li, Yan Bai, Yun Zhou, Dong Liang, Hairong Zheng, Yongfeng Yang, Shanshan Wang, Meiyun Wang, Tao Sun:
Non-Invasive Quantification of the Brain [¹⁸F]FDG-PET Using Inferred Blood Input Function Learned From Total-Body Data With Physical Constraint. 2563-2573 - Min Liu, Shuhan Wu, Runze Chen, Zhuangdian Lin, Yaonan Wang, Erik Meijering:
Brain Image Segmentation for Ultrascale Neuron Reconstruction via an Adaptive Dual-Task Learning Network. 2574-2586 - Xiangxi Meng, Kaicong Sun, Jun Xu, Xuming He, Dinggang Shen:
Multi-Modal Modality-Masked Diffusion Network for Brain MRI Synthesis With Random Modality Missing. 2587-2598 - Kevin Thandiackal, Luigi Piccinelli, Rajarsi Gupta, Pushpak Pati, Orcun Goksel:
Multi-Scale Feature Alignment for Continual Learning of Unlabeled Domains. 2599-2609 - Abhejit Rajagopal, Antonio C. Westphalen, Nathan Velarde, Jeffry P. Simko, Hao Nguyen, Thomas A. Hope, Peder E. Z. Larson, Kirti Magudia:
Mixed Supervision of Histopathology Improves Prostate Cancer Classification From MRI. 2610-2622 - Yan Luo, Yu Tian, Min Shi, Louis R. Pasquale, Lucy Q. Shen, Nazlee Zebardast, Tobias Elze, Mengyu Wang:
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization. 2623-2633 - Adam Schmidt, Omid Mohareri, Simon P. DiMaio, Septimiu E. Salcudean:
Surgical Tattoos in Infrared: A Dataset for Quantifying Tissue Tracking and Mapping. 2634-2645 - Theresa Urban, Wolfgang Noichl, Klaus-Jürgen Engel, Thomas Köhler, Franz Pfeiffer:
Correction for X-Ray Scatter and Detector Crosstalk in Dark-Field Radiography. 2646-2656 - Aohan Liu, Yuchen Guo, Jun-Hai Yong, Feng Xu:
Multi-Grained Radiology Report Generation With Sentence-Level Image-Language Contrastive Learning. 2657-2669 - Kiarash Tajbakhsh, Olga Stanowska, Antonia Neels, Aurel Perren, Robert Zboray:
3D Virtual Histopathology by Phase-Contrast X-Ray Micro-CT for Follicular Thyroid Neoplasms. 2670-2678 - Zixun Huang, Rui Zhao, Frank H. F. Leung, Sunetra Banerjee, Kin-Man Lam, Yong-Ping Zheng, Sai Ho Ling:
Landmark Localization From Medical Images With Generative Distribution Prior. 2679-2692 - Kecheng Chen, Tiexin Qin, Victor Ho-fun Lee, Hong Yan, Haoliang Li:
Learning Robust Shape Regularization for Generalizable Medical Image Segmentation. 2693-2706 - Yi Yin, Alys R. Clark, Sally L. Collins:
3D Single Vessel Fractional Moving Blood Volume (3D-svFMBV): Fully Automated Tissue Perfusion Estimation Using Ultrasound. 2707-2717 - Enjun Zhu, Haiyu Feng, Long Chen, Yongqiang Lai, Senchun Chai:
MP-Net: A Multi-Center Privacy-Preserving Network for Medical Image Segmentation. 2718-2729
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