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ORCID19th ISBI 2022: Kolkata, India
- 19th IEEE International Symposium on Biomedical Imaging, ISBI 2022, Kolkata, India, March 28-31, 2022. IEEE 2022, ISBN 978-1-6654-2923-8
- Robail Yasrab
, Zeyu Fu, Lior Drukker, Lok Hin Lee, He Zhao, Aris T. Papageorghiou, J. Alison Noble:
End-to-End First Trimester Fetal Ultrasound Video Automated CRL And NT Segmentation. 1-5 - Lixin Gong, Pinghong Zhou, Di Dong, Hao Hu, Jie Tian:
Low-Shot Early Gastric Cancer Diagnostic Model Driven By Unsupervised Features. 1-5 - Zijin Yin, Kongming Liang, Zhanyu Ma, Jun Guo:
Duplex Contextual Relation Network For Polyp Segmentation. 1-5 - Ranjana Roy Chowdhury, Deepti R. Bathula:
Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study. 1-4 - Jun Luo, Shandong Wu:
Fedsld: Federated Learning with Shared Label Distribution for Medical Image Classification. 1-5 - Weixin Xu, Yun Xing, Yuting Lu, Jingkai Lin, Xiaohong Zhang:
Dual Encoding Fusion for Atypical Lung Nodule Segmentation. 1-5 - Harshit Sharma, Rajendra Nagar, Deepak Mishra:
Data Driven Estimation of Covid-19 Prognosis. 1-5 - Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price:
Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma. 1-4 - Chaithya G. R., Zaccharie Ramzi, Philippe Ciuciu:
Hybrid Learning of Non-Cartesian K-Space Trajectory and Mr Image Reconstruction Networks. 1-5 - Yinghao Zhang, Yue Hu:
Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm Regularizations. 1-4 - Najib Ishaq, Nathan Hotaling, Nicholas Schaub:
Theia: Bleed-Through Estimation with Interaction Terms and Convolutional Kernels. 1-4 - Zeeshan Nisar, Jelica Vasiljevic, Pierre Gançarski, Thomas Andrew Lampert:
Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised Manner. 1-5 - Hannah Kim, Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Kush R. Varshney:
Out-of-Distribution Detection in Dermatology Using Input Perturbation and Subset Scanning. 1-4 - Faranak Sobhani, Azam Hamidinekoo, Allison H. Hall, Lorraine M. King, Jeffrey R. Marks, Carlo C. Maley, Hugo M. Horlings, Eun-Sil Shelley Hwang, Yinyin Yuan:
Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks. 1-5 - Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation. 1-5 - Yueyun Liu, Yu Wang, Yuping Duan:
Effective 3d Boundary Learning via a Nonlocal Deformable Network. 1-5 - Xianyu Wang, Shuai Liu, Ne Yang, Guochen Ning, Longfei Ma, Hui Zhang, Hongen Liao:
A Less Supervised Automatic Delineation Method For Intracranial Germ Cell Tumor Radiotherapy Targets. 1-4 - Quan-Dung Pham, Hai Nguyen-Truong, Nam Nguyen Phuong, N. A. Khoa Nguyen, Chanh D. T. Nguyen, Trung H. Bui, Steven Q. H. Truong:
Segtransvae: Hybrid Cnn - Transformer with Regularization for Medical Image Segmentation. 1-5 - Shuo Yan, Zheng Zhang, Bo Zhang, Yue Mi, Jingyun Wu, Haiwen Huang, Xirong Que, Wendong Wang:
MPTGAN: A Multimodal Prior-Based Triple-Branch Network for Fast Prostate Mri Reconstruction. 1-5 - Debbrata K. Saha, Rogers F. Silva, Bradley T. Baker, Vince D. Calhoun:
Decentralized Spatially Constrained Source-Based Morphometry. 1-5 - Weixiang Chen, Jianjiang Feng, Jie Zhou:
TriageNet: A Multi-Agent Diagnosis Network for Imbalanced Data. 1-5 - Rafsanjany Kushol, Abbas Masoumzadeh, Dong Huo, Sanjay Kalra, Yee-Hong Yang:
Addformer: Alzheimer's Disease Detection from Structural Mri Using Fusion Transformer. 1-5 - Matthis Maillard, François Anton, Joan Glaunès, Isabelle Bloch, Pietro Gori:
A Deep Residual Learning Implementation of Metamorphosis. 1-4 - Seung Yeon Shin, Sungwon Lee, Ronald M. Summers:
Graph-Based Small Bowel Path Tracking with Cylindrical Constraints. 1-5 - Meng Wang, Lingzhong Fan, Bing Liu:
Structural Brain Atrophy Predict Symptom Severity in Schizophrenia Based on Generalized Additive Models. 1-5 - Youssef Beauferris, Mike Lasby, Roberto Souza:
Leveraging Multi-Visit Information for Magnetic Resonance Image Reconstruction: Pilot Study on a Cohort of Glioblastoma Subjects. 1-5 - Hoang Nguyen Ngoc, Vu Hoang, Trung H. Bui, Steven Q. H. Truong, Thanh Huynh Minh, Duong Nguyen Van, Trang Nguyen Thi Minh, Cong Cung Van:
An Efficient Approach for Tuberculosis Diagnosis on Chest X-Ray. 1-5 - Ashkan Faghiri, Tülay Adali, Vince D. Calhoun:
Single Sideband Modulation as a Tool To Improve Functional Connectivity Estimation. 1-4 - Hanyue Zhou, Jiayu Xiao, Debiao Li, Zhaoyang Fan, Dan Ruan:
Intracranial Vessel Wall Segmentation with Deep Learning Using a Novel Tiered Loss Function to Incorporate Class Inclusion. 1-4 - Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, Robin Strand:
Topology-Aware Learning for Volumetric Cerebrovascular Segmentation. 1-4 - Yunan Wu, Pierre Besson, Emanuel A. Azcona, S. Kathleen Bandt, Todd B. Parrish, Aggelos K. Katsaggelos:
Reconstruction of Resting State FMRI Using LSTM Variational Auto-Encoder on Subcortical Surface to Detect Epilepsy. 1-5 - Yuling Sang, Marcel Beetz, Vicente Grau:
Generation of 12-Lead Electrocardiogram with Subject-Specific, Image-Derived Characteristics Using a Conditional Variational Autoencoder. 1-5 - Yash-Yee Logan, Kiran Kokilepersaud, Gukyeong Kwon, Ghassan AlRegib, Charles C. Wykoff, Hannah Yu:
Multi-Modal Learning Using Physicians Diagnostics for Optical Coherence Tomography Classification. 1-5 - Gasper Podobnik, Bulat Ibragimov, Primoz Strojan, Primoz Peterlin, Tomaz Vrtovec:
Segmentation of Organs-At-Risk from Ct and Mr Images of the Head and Neck: Baseline Results. 1-4 - Xuan Li, Christian Desrosiers, Xue Liu:
Symmetric Contrastive Loss for Out-of-Distribution Skin Lesion Detection. 1-5 - Yuxuan Mu, He Zhao, Jia Guo, Huiqi Li:
MSRT: Multi-Scale Spatial Regularization Transformer For Multi-Label Classification in Calcaneus Radiograph. 1-4 - David Butler, Yuan Zhang, Tim Chen, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro:
In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos. 1-5 - Ziang Xu, Sharib Ali, James E. East, Jens Rittscher:
Additive Angular Margin Loss and Model Scaling Network for Optimised Colitis Scoring. 1-5 - Jiaqiao Shi, Aleksandar Vakanski, Min Xian, Jianrui Ding, Chunping Ning:
EMT-NET: Efficient Multitask Network for Computer-Aided Diagnosis of Breast Cancer. 1-5 - Kailai Zhang, Nanfang Xu, Ji Wu:
Multi-View Fusion Convolutional Neural Network for Automatic Landmark Location on Spinal X-Rays. 1-4 - Qing Zou, Luis A. Torres, Sean B. Fain, Mathews Jacob:
Dynamic Imaging Using Motion-Compensated Smoothness Regularization on Manifolds (MOCO-STORM). 1-4 - Li Zhang, Gan Huang, Zhen Liang, Linling Li, Zhiguo Zhang:
A Novel Method to Preserve Scale-Free Property for the Inference of Dynamic Effective Connectivity Networks From fMRI. 1-5 - Anita Sinha, Ronak Mehta, Veena A. Nair, Rasmus M. Birn, Vikas Singh, Vivek Prabhakaran:
Investigating Functional Brain Network Abnormalities via Differential Covariance Trajectory Analysis and Scan Statistics. 1-4 - Finn Behrendt, Marcel Bengs, Frederik Rogge, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Unsupervised Anomaly Detection in 3D Brain MRI Using Deep Learning with Impured Training Data. 1-4 - Defu Yang, Wenchao Li, Jingwen Zhang, Hui Shen, Minghan Chen, Wentao Zhu, Guorong Wu:
A Neuropathological Hub Identification for Alzheimer's Disease Via joint Analysis of Topological Structure and Neuropathological Burden. 1-4 - Leon Weninger, Mushawar Ahmad, Dorit Merhof:
From Supervised to Unsupervised Harmonization of Diffusion Mri Acquisitions. 1-5 - Wanqing Zhu, Bing Guan, Shanshan Wang, Minghui Zhang, Qiegen Liu:
Universal Generative Modeling for Calibration-Free Parallel Mr Imaging. 1-5 - Ataher Sams, Homaira Huda Shomee:
GAN-Based Realistic Gastrointestinal Polyp Image Synthesis. 1-4 - Federico Pollastri, Marco Cipriano, Federico Bolelli, Costantino Grana:
Long-Range 3D Self-Attention for MRI Prostate Segmentation. 1-5 - Houliang Zhou, Lifang He, Yu Zhang, Li Shen, Brian Chen:
Interpretable Graph Convolutional Network Of Multi-Modality Brain Imaging For Alzheimer's Disease Diagnosis. 1-5 - Mancheng Meng, Mianxin Liu, Xianjie Zhang, Yuxuan Liu, Xiran Cai, Yaozong Gao, Xiang Zhou, Dinggang Shen:
LA-Net: Lung Adenocarcinoma Classification with Assistants from Lung Nodule Classification and Positional Information. 1-5 - Priscille de Dumast, Hamza Kebiri, Kelly Payette, András Jakab, Hélène Lajous, Meritxell Bach Cuadra:
Synthetic Magnetic Resonance Images for Domain Adaptation: Application to Fetal Brain Tissue Segmentation. 1-5 - Élise Laruelle, Auguste Genovesio:
Non-Convex Cell Epithelial Modeling Unveils Cellular Interactions. 1-5 - Yiwen Li, Yunguan Fu, Qianye Yang, Zhe Min, Wen Yan, Henkjan J. Huisman, Dean C. Barratt, Victor Adrian Prisacariu, Yipeng Hu:
FEW-SHOT Image Segmentation for Cross-Institution Male Pelvic Organs Using Registration-Assisted Prototypical Learning. 1-5 - Ella Lan:
A Novel Deep Learning Architecture By Integrating Visual Simultaneous Localization And Mapping (Vslam) Into Cnn For Real-Time Surgical Video Analysis. 1-5 - Yangrun Hu, Yuanfan Guo, Fan Zhang, Mingda Wang, Tiancheng Lin, Rong Wu, Yi Xu:
Enhancing Non-Mass Breast Ultrasound Cancer Classification with Knowledge Transfer. 1-5 - Jun Yu, Zhaoming Kong, Aditya Kendre, Hao Peng, Carl Yang, Lichao Sun, Alex D. Leow, Lifang He:
Structure-Preserving Graph Kernel for Brain Network Classification. 1-5 - Pham Ngoc Huy, Tran Minh Quan:
Neural Radiance Projection. 1-5 - Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin:
Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning. 1-5 - Hoang T. N. Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Lingzi Hong, Jason Truong, Li Cheng:
EDDIE-Transformer: Enriched Disease Embedding Transformer for X-Ray Report Generation. 1-5 - Xinyun Qiu, Haijun Lei, Hai Xie, Baiying Lei:
Segmentation of Multiple Myeloma Cells Using Feature Selection Pyramid Network and Semantic Cascade Mask RCNN. 1-4 - Saarthak Kapse, Luke Torre-Healy, Richard A. Moffitt, Rajarsi Gupta, Prateek Prasanna:
Subtype-Specific Spatial Descriptors of Tumor-Immune Microenvironment are Prognostic of Survival in Lung Adenocarcinoma. 1-5 - Suhita Ghosh, Philipp Ernst, Georg Rose, Andreas Nürnberger, Sebastian Stober:
Towards Patient Specific Reconstruction Using Perception-Aware CNN and Planning CT as Prior. 1-5 - Young-tack Oh, Eunsook Ko, Hyunjin Park:
TDM-Stargan: Stargan Using Time Difference Map to Generate Dynamic Contrast-Enhanced Mri from Ultrafast Dynamic Contrast-Enhanced Mri. 1-5 - Mo Zhang, Bin Dong, Quanzheng Li:
Ms-Gwnn: Multi-Scale Graph Wavelet Neural Network for Breast Cancer Diagnosis. 1-5 - Martin Hanik, Hans-Christian Hege, Christoph von Tycowicz:
A Nonlinear Hierarchical Model for Longitudinal Data on Manifolds. 1-5 - Reihaneh Hassanzadeh, Vince D. Calhoun:
A Contrastive Learning-Based Approach To Measure Spatial Coupling Among Brain Networks: A Schizophrenia Study. 1-4 - Wenao Ma, Shuang Zheng, Lei Zhang, Huimao Zhang, Qi Dou:
Rapid Model Transfer for Medical Image Segmentation Via Iterative Human-in-the-Loop Update: from Labelled Public to Unlabelled Clinical Datasets for Multi-Organ Segmentation in CT. 1-5 - Wei Xiong, Kaiwei Yu, Yuming Cai, Liang Yang, Baiying Lei:
Coordinate Transformer Network for Prediction of Pseudomonas Aeruginosa's Drug Resistance. 1-4 - Mohamed Fakhfakh, Bassem Bouaziz, Faïez Gargouri, Lotfi Chaâri:
Bayesian Optimization Using Hamiltonian Dynamics for Sparse Artificial Neural Networks. 1-4 - Michele Ambrosanio, Maria Maddalena Autorino, Stefano Franceschini, Fabio Baselice, Vito Pascazio:
Microwave Breast Imaging Via Deep Learning. 1-4 - Xavier Rolland, Pierre Maurel, Camille Maumet:
Towards Efficient FMRI Data Re-Use: Can We Run Between-Group Analyses with Datasets Processed Differently with SPM? 1-4 - Renuka Sharma, Suyash P. Awate:
Robust and Uncertainty-Aware VAE (RU-VAE) for One-Class Classification. 1-5 - Yaniv Ziselman, Faten Hajali Shinnawi, Mary-Louise C. Greer, Gili Focht, Dan Turner, Moti Freiman:
Gadolinium-Free Crohn's Disease Assessment from Magnetic Resonance Enterography Data. 1-5 - Yue Zhang, Zifan Chen, Hao Yu, Xinyu Yao, Hongfeng Li:
Feature Fusion for Segmentation and Classification of Skin Lesions. 1-5 - Dongdong Chen, Mike E. Davies, Mohammad Golbabaee:
Deep Unrolling for Magnetic Resonance Fingerprinting. 1-4 - Bo Wang, Lijun Lu, Huafeng Liu:
Invertible AC-flow: Direct Attenuation Correction Of Pet Images Without Ct Or Mr Images. 1-4 - Mingxing Li, Chang Chen, Xiaoyu Liu, Wei Huang, Yueyi Zhang, Zhiwei Xiong:
Advanced Deep Networks for 3d Mitochondria Instance Segmentation. 1-5 - Leo Segre, Or Hirschorn, Dvir Ginzburg, Dan Raviv:
Shape-Consistent Generative Adversarial Networks for Multi-Modal Medical Segmentation Maps. 1-5 - Joschka Braun, Micha Kornreich, JinHyeong Park, Jayashri Pawar, James Browning, Richard Herzog, Benjamin Odry, Li Zhang:
Influence Based Re-Weighing for Labeling Noise in Medical Imaging. 1-5 - Pisharody Harikrishnan Gopalakrishnan, Mahesh Raveendranatha Panicker:
Extending the Capability of Linear Array Ultrasound Probe to Concave Array Using Low-Cost Acoustic Lens for High Frame Rate Focused Imaging. 1-4 - Guanqi Chen, Guanbin Li:
Semantic-Aware Temporal Channel-Wise Attention for Cardiac Function Assessment. 1-4 - Irene Canavesi, Eleonora D'Arnese, Sara Caramaschi, Marco D. Santambrogio:
Lung Cancer Identification via Deep Learning: A Multi-Stage Workflow. 1-5 - Chi Liu, Zongyuan Ge, Mingguang He, Xiaotong Han:
A Label Uncertainty-Guided Multi-Stream Model for Disease Screening. 1-5 - Rajitha KV, Sowmya Bhat, Prakash PY, Raghavendra Rao, Keerthana Prasad:
Classification of Microscopic Images of Unstained Skin Samples Using Deep Learning Approach. 1-4 - Chi Zhang, Davide Piccini, Ömer Burak Demirel, Gabriele Bonanno, Burhaneddin Yaman, Matthias Stuber, Steen Moeller, Mehmet Akçakaya:
Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI. 1-5 - Tingting Dan, Zhuobin Huang, Hongmin Cai, Guorong Wu:
Manifold Learning in Detecting the Transitions of Dynamic Functional Connectivities Boosts Brain State-Specific Recognition. 1-4 - Shira Kasten Serlin, Jacob Goldberger, Hayit Greenspan:
Adaptation of a Multi-Site Network to a New Clinical Site Via Batch-Normalization Similarity. 1-5 - Priyanka Rana, Arcot Sowmya, Erik Meijering, Yang Song:
Imbalanced Cell-Cycle Classification Using Wgan-Div and Mixup. 1-4 - Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras:
Visual Attention Analysis Of Pathologists Examining Whole Slide Images Of Prostate Cancer. 1-5 - Muhammad F. A. Chaudhary, Sarah E. Gerard, Di Wang, Gary E. Christensen, Christopher B. Cooper, Joyce D. Schroeder, Eric A. Hoffman, Joseph M. Reinhardt:
Single Volume Lung Biomechanics from Chest Computed Tomography Using a Mode Preserving Generative Adversarial Network. 1-5 - Mengfan Wang, Kathleen Whiting, Fritz W. Lischka, Zygmunt Galdzicki, Guoqiang Yu:
An Unsupervised Approach to Detect Microglia Tip in Volumetric Fluorescence Imaging Data. 1-5 - Esteban Vaca, Miriam Menzel, Katrin Amunts, Markus Axer, Timo Dickscheid:
GORDA: Graph-Based Orientation Distribution Analysis of SLI Scatterometry Patterns of Nerve Fibres. 1-5 - Hari Shankar, Adithya Narayan, Shefali Jain, Divya Singh, P. Vyas, Nivedita Hegde, J. P. Kar, Abhi Lad, Jens Thang, Jagruthi Atada, D. Nguyen, Roopa PS, Akhila Vasudeva, Prathima Radhakrishnan, Sripad Krishna Devalla:
Leveraging Clinically Relevant Biometric Constraints to Supervise a Deep Learning Model for the Accurate Caliper Placement to Obtain Sonographic Measurements of the Fetal Brain. 1-5 - Rahil Gholamipoor, Nima Rafiee, Markus Kollmann:
Pneumonia Detection With Semantic Similarity Scores. 1-5 - Alexandre Bouyssoux, Riadh Fezzani, Jean-Christophe Olivo-Marin:
Cell Instance Segmentation Using Z-Stacks in Digital Cytology. 1-4 - Tianhong Quan, Ye Yuan, Youyi Song, Teng Zhou, Jing Qin:
Fuzzy Structural Broad Learning for Breast Cancer Classification. 1-4 - Zihao Chen, Yuhua Chen, Yibin Xie, Debiao Li, Anthony G. Christodoulou:
Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction. 1-5 - Suvadip Mukherjee, Vannary Meas-Yedid, Marc Bokobza, Thibault Lagache, Alexandre Corthay, Jean-Christophe Olivo-Marin:
Spatial Analysis For Histopathology: A Statistical Approach. 1-5 - Guochen Ning, Hanying Liang, Lei Zhou, Xinran Zhang, Hongen Liao:
Spatial Position Estimation Method for 3D Ultrasound Reconstruction Based on Hybrid Transfomers. 1-5 - Kaifeng Pang, Zuhayr Asad, Shilin Zhao, Yuankai Huo:
MAG: A Simple Learning-Based Patient-Level Aggregation Method for Detecting Microsatellite Instability from Whole-Slide Images. 1-4 - Jiayi Zhu, Bart Bolsterlee, Brian V. Y. Chow, Yang Song, Erik Meijering:
Hybrid Attentive Unet for Segmentation of Lower Leg Muscles and Bones From MRI Scans For Musculoskeletal Research. 1-5 - Nilanjan Chattopadhyay, Geetank Raipuria, Nitin Singhal:
Self-Ensemble Distillation Using Mean Teachers with Long & Short Memory. 1-4 - Yu Fu, Yanyan Huang, Meng Niu, Le Xue, Shunjie Dong, Shunlin Guo, Junqiang Lei, Cheng Zhuo:
Active Index: An Integrated Index to Reveal Disrupted Brain Network Organizations of Major Depressive Disorder Patients. 1-5 - Elina Thibeau-Sutre, Baptiste Couvy-Duchesne, Didier Dormont, Olivier Colliot, Ninon Burgos:
MRI Field Strength Predicts Alzheimer's Disease: a Case Example of Bias in the ADNI Data Set. 1-4 - Zhengyang Jiao, Xingchen Peng, Jianghong Xiao, Xi Wu, Jiliu Zhou, Yan Wang:
Mask-Free Radiotherapy Dose Prediction via Multi-Task Learning. 1-5 - Cheng-Ho King, Yin-Lin Wang, Wei-Yang Lin, Chia-Ling Tsai:
Automatic Cephalometric Landmark Detection on X-Ray Images Using Object Detection. 1-4 - Kerem Celikay, Vadim O. Chagin, M. Cristina Cardoso, Karl Rohr:
Denoisereg: Unsupervised Joint Denoising and Registration of Time-Lapse Live Cell Microscopy Images Using Deep Learning. 1-4 - Mohamed El-Sharkawy, Ahmed Sharafeldeen, Ahmed Soliman, Fahmi Khalifa, Mohammed Ghazal, Eman M. El-Daydamony, Ahmed Atwan, Harpal Singh Sandhu, Ayman El-Baz:
Diabetic Retinopathy Diagnostic CAD System Using 3D-Oct Higher Order Spatial Appearance Model. 1-4 - Roman Spilger, Vadim O. Chagin, C. S. Bold, Lothar Schermelleh, U. C. Müller, M. Cristina Cardoso, Karl Rohr:
Deep Neural Network for 3D Particle Detection in 3D Fluorescence Microscopy Images via Density Map Regression. 1-4 - Sébastien Levilly, Saïd Moussaoui, Jean-Michel Serfaty:
Navier-Stokes-Based Regularization for 4d Flow MRI Super-Resolution. 1-5