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ORCIDPattern Recognition Letters, Volume 199
Volume 199, 2026
- Zhuo-Ming Du, Hong-An Li, Qian Yu:
ADFNeT: Adaptive decomposition and fusion for color constancy. 1-6 - Bo Peng, Chao Ma, Yifan Chen, Mi Zhu, Ningsheng Liao:
MTW-DETR: A multi-task collaborative optimization model for adverse weather object detection. 7-12 - Qun Li, Peng Gu, Xinping Gao, Bir Bhanu:
TSMnet: Two-step separation pipeline based on threshold shrinkage memory network for weakly-supervised video anomaly detection. 13-20 - Nguyen Khoa Tran
, Gunnar W. Klau:
Drug response prediction: A critical systematic review of current datasets and methods. 21-26 - Ciro Russo, Giulio Russo, Arnau Oliver, Xavier Lladó, Mikel Terceño, Yolanda Silva, Alessandro Bria, Claudio Marrocco:
Window self-attention and 3D volumetric refinement for large vessel occlusion detection in brain angiography. 27-33 - Sujay Mudalgi, Anh Tuan Bui:
Scalable data twinning. 34-39 - Yaya Huang, Litong Liu, Tianzhen Zhang, Sisi Wang, Chee-Ming Ting:
Multi-Modal masked autoencoder and parallel Mamba for 3D brain tumor segmentation. 40-46 - Weiyang Wang, Haoyue Liu, Juan Huang, Bin Xu:
Multimodal Dynamic Cost Matrix Adaptation under data imbalance for multimodal sentiment analysis. 47-53 - Linhai Liu, Weijiang Li:
MixL-CNN: Lightweight multi-scale model for cross-domain aspect term extraction. 54-60 - Gaoli Zhao, Yuheng Wu, Kefei Zhang, Song Han, Wenyi Zhao, Weidong Zhang:
Cross-scale coupled attention network for underwater image enhancement. 61-67 - Xiaodong Han, Yibing Zhan, Jun Ni, Baosheng Yu, Dapeng Tao:
Mind the data: Evaluating data quality sensitivity in medical LLMs. 68-74 - Fan Yang, Anping Zeng, Chunlin He, Chaorong Li, Xingjie Wang, Shijie Xu:
Lightweight adaptive spatiotemporal information fusion network for medical time series classification. 75-81 - Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João Neves:
Unsupervised contrastive analysis for anomaly detection in brain MRIs via conditional diffusion models. 82-89 - Liang Shang, Zhengyang Lou, William A. Sethares, Andrew L. Alexander, Vivek Prabhakaran, Veena A. Nair, Nagesh Adluru:
Plug and play labeling strategies for boosting small brain lesion segmentation. 90-97 - Aswathi Varma, Daniel Scholz, Ayhan Can Erdur, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler:
Improving out-of-domain generalization in Multiple Sclerosis detection and segmentation using Random Convolutions. 98-105 - Yang Xue, Haosheng Cai, Zhuoming Li, Lianwen Jin:
Transformer-based dynamic cell bounding box refinement for end-to-end Table Structure Recognition. 106-112 - Hussain Ahmad Madni, Hafsa Shujat, Axel De Nardin, Silvia Zottin, Gian Luca Foresti:
FsBAD: Data-efficient feature reconstruction for few-shot brain anomaly detection. 113-119 - Domen Preloznik, Ziga Spiclin:
Cross-modality white matter lesion segmentation by modality de-indentification. 120-127 - Seongmin Hwang, Daeyoung Han, Moongu Jeon:
DG-DETR: Toward domain generalized detection transformer. 128-134 - Xuan Zhang, Ming Zhao, Lixiang Ma:
Collaborative feature alignment with global-local fusion for fine-grained sketch-based image retrieval. 135-141 - Zengzhi Qian, Yulong Sun, Weide Kang, Bingke Zhu, Jinqiao Wang:
TRIS: A multimodal and multitask framework for unifying text-image retrieval and referring image segmentation. 142-148 - Panagiotis Anagnostou, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Boosting neural network performance for high dimensional data through random projections. 149-155 - Salvatore Calcagno, Marco Finocchiaro, Giovanni Bellitto, Concetto Spampinato, Federica Proietto Salanitri:
Decoding attention from the visual cortex: fMRI-based prediction of human saliency maps. 156-162 - Hongjie Chen, Pei Lu, Xiaoyong Liu, Yuan Ling:
Channel scaling: An efficient feature representation to enhance the generalization of few-shot learning. 163-169 - Shuwen Jin, Junzhu Mao, Zeren Sun, Yazhou Yao:
Discriminative response pruning for robust and efficient deep networks under label noise. 170-177 - Carlo Alberto Barbano, Matteo Brunello, Benoit Dufumier, Marco Grangetto:
Anatomical foundation models for brain MRIs. 178-184 - Qiang Fang, Xin Xu:
AdaPL: Adaptive Pseudo Labeling for deep active learning in image classification. 185-190 - Hanwen Shi, Shubo Zhou, Yinghua Xie, Feng Pan, Zhijun Fang, Xueqin Jiang:
Enhancing lightweight image super-resolution with hybrid convolution and attention. 191-197 - Hyunjong Lee, Jangho Lee, Jaekoo Lee:
SAMIRO: Spatial Attention Mutual Information Regularization with a pre-trained model as Oracle for lane detection. 198-204 - Federica Proietto Salanitri, Giovanni Bellitto, Salvatore Calcagno, Ulas Bagci, Concetto Spampinato, Manuela Pennisi:
SAM-guided prompt learning for Multiple Sclerosis lesion segmentation. 205-211 - Dirko Coetsee, Steve Kroon, Ralf Kistner, Adem Kikaj, McElory Hoffmann, Luc De Raedt:
Tadmo: A tabular distance measure with move operations. 212-218 - Samuel Maddox, Lemuel Puglisi, Fatemeh Darabifard, Saber Sami, Daniele Ravì:
Regional patch-based MRI brain age modeling with an interpretable cognitive reserve proxy. 219-224 - Alessandro Di Matteo, Youwan Mahé, Stéphanie Leplaideur, Isabelle Bonan, Elise Bannier, Francesca Galassi:
Deep learning and multi-modal MRI for the segmentation of sub-acute and chronic stroke lesions. 225-231 - Shuzhen Rao, Jun Huang:
Mitigating task randomness in graph few-shot learning. 232-238 - Samuele Salti, Andrea Pinto, Alessandro Lanza, Serena Morigi:
Additive decomposition of one-dimensional signals using Transformers. 239-245 - Michela Gravina, Giuseppe Pontillo, Zeena Shawa, James H. Cole, Carlo Sansone:
Assessing demographic bias in brain age prediction models using multiple deep learning paradigms. 246-253 - Giuseppe Placidi, Alessia Cipriani, Michele Nappi, Matteo Polsinelli:
Explainable multimodal brain imaging through a multiple-branch neural network. 254-260 - Wided Hechkel, Rim Missaoui, Abdelhamid Helali, Marco Leo:
Hybrid CNN and SVM model for Alzheimer's disease classification using categorical focal loss function. 261-268 - Haiyan Xu, Min Wang, Gang Xu, Qian Shen:
Identifying real changes for height displaced buildings to aid in deep learning training sample generation. 269-277 - Chunying Song, Qiong Wang, Zeren Sun, Huafeng Liu:
Monocular 3D lane detection with geometry-guided transformation and contextual enhancement. 278-284 - Thomas Mandl, Prasenjit Majumder:
Editorial: Special Section Forum for Information Retrieval Evaluation (FIRE) 2024. 285-287 - Bhargav Dave, Prasenjit Majumder:
SqCLIRIL: Spoken query cross-lingual information retrieval in Indian languages. 288-294 - Srijoni Majumdar, Adwita Deshpande, Partha Pratim Das, Partha Pratim Chakrabarti:
Comprehending C codes with LLMs: Effective comment generation through retrieval and reasoning. 295-302 - Koyel Ghosh, Saptarshi Saha, Thomas Mandl, Sandip Modha:
Findings from shared tasks on hate speech detection: Performance patterns for low-resource languages. 303-309
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last updated on 2026-01-07 21:51 CET by the dblp team
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