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Publication search results
found 943 matches
- 2023
- Abdalla Bani, Sung Min Ha, Pan Xiao, Thomas Earnest, John Lee, Aristeidis Sotiras:
Scalable Orthonormal Projective NMF via Diversified Stochastic Optimization. IPMI 2023: 497-508 - Farzad Beizaee, Christian Desrosiers, Gregory A. Lodygensky, Jose Dolz:
Harmonizing Flows: Unsupervised MR Harmonization Based on Normalizing Flows. IPMI 2023: 347-359 - Jose J. Bouza, Chun-Hao Yang, Baba C. Vemuri:
Geometric Deep Learning for Unsupervised Registration of Diffusion Magnetic Resonance Images. IPMI 2023: 563-575 - Niharika Shimona D'Souza, Archana Venkataraman:
mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds. IPMI 2023: 53-65 - Haocheng Dai, Martin Bauer, P. Thomas Fletcher, Sarang C. Joshi:
Modeling the Shape of the Brain Connectome via Deep Neural Networks. IPMI 2023: 291-302 - Wenlong Deng, Yuan Zhong, Qi Dou, Xiaoxiao Li:
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations. IPMI 2023: 158-169 - Jiangchuan Du, Yuan Zhou:
Filtered Trajectory Recovery: A Continuous Extension to Event-Based Model for Alzheimer's Disease Progression Modeling. IPMI 2023: 95-106 - Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang:
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. IPMI 2023: 303-315 - Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill M. Abrigo, Qi Dou:
Diffusion Model Based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification. IPMI 2023: 69-81 - Michele Guerreri, Sean C. Epstein, Hojjat Azadbakht, Hui Zhang:
Resolving Quantitative MRI Model Degeneracy with Machine Learning via Training Data Distribution Design. IPMI 2023: 3-14 - Ye Han, Jared Vicory, Guido Gerig, Patricia Sabin, Hannah Dewey, Silvani Amin, Ana Sulentic, Christian Herz, Matthew A. Jolley, Beatriz Paniagua, James Fishbaugh:
Hierarchical Geodesic Polynomial Model for Multilevel Analysis of Longitudinal Shape. IPMI 2023: 810-821 - Tai Hasegawa, Helena Arvidsson, Nikolce Tudzarovski, Karl Meinke, Rachael V. Sugars, Aravind Ashok Nair:
Edge-Based Graph Neural Networks for Cell-Graph Modeling and Prediction. IPMI 2023: 265-277 - Jinghan Huang, Moo K. Chung, Anqi Qiu:
Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data. IPMI 2023: 278-290 - Shijie Huang, Geng Chen, Kaicong Sun, Zhiming Cui, Xukun Zhang, Peng Xue, Xuan Zhang, He Zhang, Dinggang Shen:
Super-Resolution Reconstruction of Fetal Brain MRI with Prior Anatomical Knowledge. IPMI 2023: 428-441 - Wenqi Huang, Hongwei Bran Li, Jiazhen Pan, Gastão Cruz, Daniel Rueckert, Kerstin Hammernik:
Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging. IPMI 2023: 548-560 - Yongsong Huang, Wanqing Xie, Mingzhen Li, Mingmei Cheng, Jinzhou Wu, Weixiao Wang, Jane You, Xiaofeng Liu:
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation. IPMI 2023: 360-371 - Caiwen Jiang, Yongsheng Pan, Tianyu Wang, Qing Chen, Junwei Yang, Li Ding, Jiameng Liu, Zhongxiang Ding, Dinggang Shen:
S2DGAN: Generating Dual-energy CT from Single-energy CT for Real-time Determination of Intracerebral Hemorrhage. IPMI 2023: 375-387 - John Kalkhof, Camila González, Anirban Mukhopadhyay:
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata. IPMI 2023: 705-716 - Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers:
Mixup-Privacy: A Simple yet Effective Approach for Privacy-Preserving Segmentation. IPMI 2023: 717-729 - Florian Kofler, Suprosanna Shit, Ivan Ezhov, Lucas Fidon, Izabela Horvath, Rami Al-Maskari, Hongwei Bran Li, Harsharan Bhatia, Timo Loehr, Marie Piraud, Ali Ertürk, Jan Kirschke, Jan C. Peeken, Tom Vercauteren, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze:
blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation. IPMI 2023: 755-767 - Antoine Legouhy, Ross Callaghan, Hojjat Azadbakht, Hui Zhang:
POLAFFINI: Efficient Feature-Based Polyaffine Initialization for Improved Non-linear Image Registration. IPMI 2023: 614-625 - Manxi Lin, Kilian Zepf, Anders Nymark Christensen, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen:
DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation. IPMI 2023: 654-666 - Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen:
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation. IPMI 2023: 730-742 - Yikang Liu, Eric Z. Chen, Xiao Chen, Terrence Chen, Shanhui Sun:
An Unsupervised Framework for Joint MRI Super Resolution and Gibbs Artifact Removal. IPMI 2023: 403-414 - Huan Liu, Tingting Dan, Zhuobin Huang, Defu Yang, Won Hwa Kim, Minjeong Kim, Paul J. Laurienti, Guorong Wu:
HoloBrain: A Harmonic Holography for Self-organized Brain Function. IPMI 2023: 29-40 - Jianxin Liu, Rongjun Ge, Peng Wan, Qi Zhu, Daoqiang Zhang, Wei Shao:
Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-Stage Breast Invasive Carcinoma from Whole-Slide Pathological Images. IPMI 2023: 145-157 - Yunyi Liu, Zhanyu Wang, Dong Xu, Luping Zhou:
Q2ATransformer: Improving Medical VQA via an Answer Querying Decoder. IPMI 2023: 445-456 - Wan Liu, Chuyang Ye:
Better Generalization of White Matter Tract Segmentation to Arbitrary Datasets with Scaled Residual Bootstrap. IPMI 2023: 629-640 - Sonia Martinot, Nikos Komodakis, Maria Vakalopoulou, Norbert Bus, Charlotte Robert, Eric Deutsch, Nikos Paragios:
Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation. IPMI 2023: 485-496 - Noah Maul, Katharina Zinn, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Laura Pfaff, Markus Kowarschik, Annette Birkhold, Andreas K. Maier:
Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model. IPMI 2023: 183-194
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