標題: Titlebook: Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis; First MICCAI Worksho Luigi Manfredi,Seyed-Ahmad Ahmadi,Emanuele [打印本頁] 作者: 太平間 時間: 2025-3-21 18:51
書目名稱Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis影響因子(影響力)
書目名稱Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis影響因子(影響力)學(xué)科排名
書目名稱Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis網(wǎng)絡(luò)公開度
書目名稱Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis被引頻次
書目名稱Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis被引頻次學(xué)科排名
書目名稱Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis年度引用
書目名稱Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis年度引用學(xué)科排名
書目名稱Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis讀者反饋
書目名稱Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis讀者反饋學(xué)科排名
作者: arthroscopy 時間: 2025-3-21 22:54
Baidaa Al-Bander,Alwyn Mathew,Ludovic Magerand,Emanuele Trucco,Luigi Manfredi作者: 種類 時間: 2025-3-22 02:18 作者: 條街道往前推 時間: 2025-3-22 08:20
Lang Mei,Mianxin Liu,Lingbin Bian,Yuyao Zhang,Feng Shi,Han Zhang,Dinggang Shen作者: overwrought 時間: 2025-3-22 10:18
Ece Cinar,Sinem Elif Haseki,Alaa Bessadok,Islem Rekik作者: Ptsd429 時間: 2025-3-22 13:44
Linlin Yao,Zhong Xue,Yiqiang Zhan,Lizhou Chen,Yuntian Chen,Bin Song,Qian Wang,Feng Shi,Dinggang Shen作者: 通情達理 時間: 2025-3-22 19:08
Qinghao Liang,Javid Dadashkarimi,Wei Dai,Amin Karbasi,Joseph Chang,Harrison H. Zhou,Dustin Scheinost作者: 經(jīng)典 時間: 2025-3-22 23:28 作者: syring 時間: 2025-3-23 05:24 作者: syncope 時間: 2025-3-23 07:40
Real-Time Lumen Detection for?Autonomous Colonoscopyn metrics, while saving heavy labelling costs in terms of clinicians’ time. Our method for lumen detection runs at 60 ms per frame during the inference phase. Our experiments demonstrate the potential of our system in real-time environments, which contributes towards improving the automation of robo作者: 行乞 時間: 2025-3-23 13:20
Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosise passing among functional modules of each hierarchical level for alleviating over-smoothing issue and (2) another branch of GCNs to processes whole brain network for retaining original communication of information. Second, we design a “hierarchical brain readout” to utilize pre-defined hierarchical作者: 凹處 時間: 2025-3-23 14:45 作者: ARENA 時間: 2025-3-23 19:48 作者: Irremediable 時間: 2025-3-24 00:03 作者: 飛鏢 時間: 2025-3-24 03:56
Transforming Connectomes to “Any” Parcellation via Graph Matchingof the proposed framework by learning the optimal transport based on data from the Human Connectome Project Young Adult, and applying it to structural connectomes data from the Lifespan Human Connectome Project Development. The efficacy of our approach is validated by comparing the estimated connect作者: Increment 時間: 2025-3-24 09:42 作者: 本土 時間: 2025-3-24 11:55
shops with promotional expenditures in excess of 20 per cent of their sales revenue. This is especially evident during the launch period (say the first two years) of a major new product introduction into those medium-sized but highly competitive markets where the ‘cost of entry’ is high relative to作者: 隱語 時間: 2025-3-24 16:37 作者: Agronomy 時間: 2025-3-24 20:22
Xiaohan Hao,Xiao Xu,Daimin Jiang,Guoyi Zhou shops with promotional expenditures in excess of 20 per cent of their sales revenue. This is especially evident during the launch period (say the first two years) of a major new product introduction into those medium-sized but highly competitive markets where the ‘cost of entry’ is high relative to作者: humectant 時間: 2025-3-25 01:13 作者: 施舍 時間: 2025-3-25 06:46
Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image AnalysisFirst MICCAI Worksho作者: 獸皮 時間: 2025-3-25 07:37 作者: BUDGE 時間: 2025-3-25 12:20
Criss-Cross Attention Based Multi-level Fusion Network for Gastric Intestinal Metaplasia Segmentatiooscopic images. Our network is composed of two sub-networks including criss-cross attention based feature fusion encoder and feature activation map guided multi-level decoder. The former one learns representative deep features by imposing attention on features of multiple receptive fields. The latte作者: 宣誓書 時間: 2025-3-25 19:40
Colonoscopy Landmark Detection Using Vision Transformersf colon structures. A significant amount of the clinician’s time is spent in post-processing snapshots taken during the colonoscopy procedure, for maintaining medical records or further investigation. Automating this step can save time and improve the efficiency of the process. In our work, we have 作者: cunning 時間: 2025-3-25 21:16
Real-Time Lumen Detection for?Autonomous Colonoscopying and tracking the lumen so far have been made using optical flow and shape-from-shading techniques. In general, these methods are computationally expensive, and most are either not real-time nor tested on real devices. To this end, we present a deep learning-based approach for lumen localisation 作者: 食料 時間: 2025-3-26 03:47 作者: Microgram 時間: 2025-3-26 07:32
Estimating the Coverage in 3D Reconstructions of the Colon from Colonoscopy Videos visual coverage of the colon surface during the procedure often results in missed polyps. To mitigate this issue, reconstructing the 3D surfaces of the colon in order to visualize the missing regions has been proposed. However, robustly estimating the local and global coverage from such a reconstru作者: foliage 時間: 2025-3-26 09:59
Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosisrmality and perform diagnosis of brain diseases, such as early mild cognitive impairment (eMCI), i.e., with Graph Convolutional Network (GCN). However, there are at least two issues with GCN-based diagnosis methods, i.e., (1) over-smoothed representation of nodal features after using general convolu作者: 有發(fā)明天才 時間: 2025-3-26 14:13
Bayesian Filtered Generation of Post-surgical Brain Connectomes on Tumor Patients to obtain minimally coherent predictions, these methods require large datasets that are rarely available in sensitive settings such as brain tumors. Because of this, the problem of plasticity reorganization after tumor resection has been largely neglected in the machine learning community despite h作者: Ophthalmoscope 時間: 2025-3-26 20:37 作者: 得意人 時間: 2025-3-26 21:52
Using Hierarchically Connected Nodes and Multiple GNN Message Passing Steps to Increase the Contextugraph nodes represent cells and the vertices are constructed by applying a nearest neighbor algorithm to cell’s locations. When passing these graphs through one graph neural network (GNN) message passing step, each node can only utilise features from nodes within its immediate neighbourhood to make 作者: fatuity 時間: 2025-3-27 02:20
TaG-Net: Topology-Aware Graph Network for Vessel Labelingnd accurately label vessels in computed tomography angiography (CTA), since head and neck vessels are tortuous, branched, and often close to nearby tubular-like vasculatures. To address these challenges, we transform the voxel labeling problem into the centerline labeling task and propose a novel me作者: 長矛 時間: 2025-3-27 08:02
Transforming Connectomes to “Any” Parcellation via Graph Matching ways of brain parcellation are proposed and used by different research groups without any consensus of their superiority. The variety of choices in brain parcellation makes data sharing and result comparison between studies difficult. Here, we propose a framework for transforming connectomes from o作者: absorbed 時間: 2025-3-27 11:00 作者: 解脫 時間: 2025-3-27 15:18
lling to industry and the government. In particular, those consumer-goods companies selling branded, frequently purchased and relatively inexpensive domestic products may well be operating with a marketing promotional budget which accounts for over 10 per cent of total sales revenue — excluding the 作者: 邊緣 時間: 2025-3-27 18:17
Xiaohan Hao,Xiao Xu,Daimin Jiang,Guoyi Zhoulling to industry and the government. In particular, those consumer-goods companies selling branded, frequently purchased and relatively inexpensive domestic products may well be operating with a marketing promotional budget which accounts for over 10 per cent of total sales revenue — excluding the 作者: 允許 時間: 2025-3-28 01:44 作者: implore 時間: 2025-3-28 03:36 作者: 燕麥 時間: 2025-3-28 08:42
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/461687.jpg作者: 使增至最大 時間: 2025-3-28 13:23 作者: DNR215 時間: 2025-3-28 15:49 作者: 跳動 時間: 2025-3-28 21:01
0302-9743 CCAI Workshop, GRAIL 2022, GRaphs in biomedicAL Image and analysis, held in conjunction with MICCAI 2022, Singapore, September 18, 2022..ISGIE 2022 accepted 6 papers from the 8 submissions received.This workshop focuses on novel scientific contributions to vision systems, imaging algorithms as well 作者: 幼稚 時間: 2025-3-28 23:08
Conference proceedings 2022rdination..?GRAIL 2022 accepted 6 papers from the 10 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts..作者: 沒收 時間: 2025-3-29 06:56
SuperPoint Features in Endoscopyhigher matching quality than commonly used local features in this domain. Our adapted model avoids features within specularity regions, a frequent and problematic artifact in endoscopic images, with consequent benefits for matching and reconstruction results. Training code and models available ..作者: SPASM 時間: 2025-3-29 10:56 作者: FELON 時間: 2025-3-29 13:06 作者: Pert敏捷 時間: 2025-3-29 17:03
Conference proceedings 2022hop, GRAIL 2022, GRaphs in biomedicAL Image and analysis, held in conjunction with MICCAI 2022, Singapore, September 18, 2022..ISGIE 2022 accepted 6 papers from the 8 submissions received.This workshop focuses on novel scientific contributions to vision systems, imaging algorithms as well as the aut
