CVPR 2024 Open Access Repository

Domain adaptation Explainability and Fairness in AI for Medical Image Analysis (DEF-AI-MIA)

Advancing COVID-19 Detection in 3D CT Scans: Qingqiu Li,

Runtian Yuan,

Junlin Hou,

Jilan Xu,

Yuejie Zhang,

Rui Feng,

Hao Chen; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2024_CVPR, author = {Li, Qingqiu and Yuan, Runtian and Hou, Junlin and Xu, Jilan and Zhang, Yuejie and Feng, Rui and Chen, Hao}, title = {Advancing COVID-19 Detection in 3D CT Scans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5149-5156} }
Deep-Adaptation: Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans: Fares Bougourzi,

Feryal Windal Moulai,

Halim Benhabiles,

Fadi Dornaika,

Abdelmalik Taleb-Ahmed; [pdf]
[bibtex]
@InProceedings{Bougourzi_2024_CVPR, author = {Bougourzi, Fares and Moulai, Feryal Windal and Benhabiles, Halim and Dornaika, Fadi and Taleb-Ahmed, Abdelmalik}, title = {Deep-Adaptation: Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5097-5104} }
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero-shot Medical Image Segmentation: Sidra Aleem,

Fangyijie Wang,

Mayug Maniparambil,

Eric Arazo,

Julia Dietlmeier,

Kathleen Curran,

Noel E. O' Connor,

Suzanne Little; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Aleem_2024_CVPR, author = {Aleem, Sidra and Wang, Fangyijie and Maniparambil, Mayug and Arazo, Eric and Dietlmeier, Julia and Curran, Kathleen and Connor, Noel E. O' and Little, Suzanne}, title = {Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero-shot Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5184-5193} }
Complex Style Image Transformations for Domain Generalization in Medical Images: Nikolaos Spanos,

Anastasios Arsenos,

Paraskevi-Antonia Theofilou,

Paraskevi Tzouveli,

Athanasios Voulodimos,

Stefanos Kollias; [pdf] [arXiv]
[bibtex]
@InProceedings{Spanos_2024_CVPR, author = {Spanos, Nikolaos and Arsenos, Anastasios and Theofilou, Paraskevi-Antonia and Tzouveli, Paraskevi and Voulodimos, Athanasios and Kollias, Stefanos}, title = {Complex Style Image Transformations for Domain Generalization in Medical Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5036-5045} }
ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization: Hong Nguyen,

Hoang Nguyen,

Melinda Chang,

Hieu Pham,

Shrikanth Narayanan,

Michael Pazzani; [pdf] [arXiv]
[bibtex]
@InProceedings{Nguyen_2024_CVPR, author = {Nguyen, Hong and Nguyen, Hoang and Chang, Melinda and Pham, Hieu and Narayanan, Shrikanth and Pazzani, Michael}, title = {ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5105-5112} }
Classification of 2D Ultrasound Breast Cancer Images with Deep Learning: Jack Ellis,

Kofi Appiah,

Emmanuel Amankwaa-Frempong,

Sze Chai Kwok; [pdf]
[bibtex]
@InProceedings{Ellis_2024_CVPR, author = {Ellis, Jack and Appiah, Kofi and Amankwaa-Frempong, Emmanuel and Kwok, Sze Chai}, title = {Classification of 2D Ultrasound Breast Cancer Images with Deep Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5167-5173} }
Using Counterfactual Information for Breast Classification Diagnosis: Miguel Cardoso,

Carlos Santiago,

Jacinto C. Nascimento; [pdf]
[bibtex]
@InProceedings{Cardoso_2024_CVPR, author = {Cardoso, Miguel and Santiago, Carlos and Nascimento, Jacinto C.}, title = {Using Counterfactual Information for Breast Classification Diagnosis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4996-5002} }
LaPA: Latent Prompt Assist Model For Medical Visual Question Answering: Tiancheng Gu,

Kaicheng Yang,

Dongnan Liu,

Weidong Cai; [pdf] [arXiv]
[bibtex]
@InProceedings{Gu_2024_CVPR, author = {Gu, Tiancheng and Yang, Kaicheng and Liu, Dongnan and Cai, Weidong}, title = {LaPA: Latent Prompt Assist Model For Medical Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4971-4980} }
Blurry-Consistency Segmentation Framework with Selective Stacking on Differential Interference Contrast 3D Breast Cancer Spheroid: Thanh-Huy Nguyen,

Thi Kim Ngan Ngo,

Mai Anh Vu,

Ting-Yuan Tu; [pdf]
[bibtex]
@InProceedings{Nguyen_2024_CVPR, author = {Nguyen, Thanh-Huy and Ngo, Thi Kim Ngan and Vu, Mai Anh and Tu, Ting-Yuan}, title = {Blurry-Consistency Segmentation Framework with Selective Stacking on Differential Interference Contrast 3D Breast Cancer Spheroid}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5223-5230} }
A Closer Look at Spatial-Slice Features Learning for COVID-19 Detection: Chih-Chung Hsu,

Chia-Ming Lee,

Yang Fan Chiang,

Yi-Shiuan Chou,

Chih-Yu Jiang,

Shen-Chieh Tai,

Chi-Han Tsai; [pdf] [arXiv]
[bibtex]
@InProceedings{Hsu_2024_CVPR, author = {Hsu, Chih-Chung and Lee, Chia-Ming and Chiang, Yang Fan and Chou, Yi-Shiuan and Jiang, Chih-Yu and Tai, Shen-Chieh and Tsai, Chi-Han}, title = {A Closer Look at Spatial-Slice Features Learning for COVID-19 Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4924-4934} }
PP-SAM: Perturbed Prompts for Robust Adaption of Segment Anything Model for Polyp Segmentation: Md Mostafijur Rahman,

Mustafa Munir,

Debesh Jha,

Ulas Bagci,

Radu Marculescu; [pdf]
[bibtex]
@InProceedings{Rahman_2024_CVPR, author = {Rahman, Md Mostafijur and Munir, Mustafa and Jha, Debesh and Bagci, Ulas and Marculescu, Radu}, title = {PP-SAM: Perturbed Prompts for Robust Adaption of Segment Anything Model for Polyp Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4989-4995} }
Domain Adaptation Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans: Dimitrios Kollias,

Anastasios Arsenos,

Stefanos Kollias; [pdf]
[bibtex]
@InProceedings{Kollias_2024_CVPR, author = {Kollias, Dimitrios and Arsenos, Anastasios and Kollias, Stefanos}, title = {Domain Adaptation Explainability \& Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4907-4914} }
SegFormer3D: An Efficient Transformer for 3D Medical Image Segmentation: Shehan Perera,

Pouyan Navard,

Alper Yilmaz; [pdf] [arXiv]
[bibtex]
@InProceedings{Perera_2024_CVPR, author = {Perera, Shehan and Navard, Pouyan and Yilmaz, Alper}, title = {SegFormer3D: An Efficient Transformer for 3D Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4981-4988} }
Domain Adaptation Using Pseudo Labels for COVID-19 Detection: Runtian Yuan,

Qingqiu Li,

Junlin Hou,

Jilan Xu,

Yuejie Zhang,

Rui Feng,

Hao Chen; [pdf] [arXiv]
[bibtex]
@InProceedings{Yuan_2024_CVPR, author = {Yuan, Runtian and Li, Qingqiu and Hou, Junlin and Xu, Jilan and Zhang, Yuejie and Feng, Rui and Chen, Hao}, title = {Domain Adaptation Using Pseudo Labels for COVID-19 Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5141-5148} }
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography: Julia Yang,

Alina Jade Barnett,

Jon Donnelly,

Satvik Kishore,

Jerry Fang,

Fides Regina Schwartz,

Chaofan Chen,

Joseph Y. Lo,

Cynthia Rudin; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2024_CVPR, author = {Yang, Julia and Barnett, Alina Jade and Donnelly, Jon and Kishore, Satvik and Fang, Jerry and Schwartz, Fides Regina and Chen, Chaofan and Lo, Joseph Y. and Rudin, Cynthia}, title = {FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5003-5009} }
Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation: Janet Wang,

Yunbei Zhang,

Zhengming Ding,

Jihun Hamm; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2024_CVPR, author = {Wang, Janet and Zhang, Yunbei and Ding, Zhengming and Hamm, Jihun}, title = {Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5157-5166} }
Residual-based Language Models are Free Boosters for Biomedical Imaging Tasks: Zhixin Lai,

Jing Wu,

Suiyao Chen,

Yucheng Zhou,

Naira Hovakimyan; [pdf]
[bibtex]
@InProceedings{Lai_2024_CVPR, author = {Lai, Zhixin and Wu, Jing and Chen, Suiyao and Zhou, Yucheng and Hovakimyan, Naira}, title = {Residual-based Language Models are Free Boosters for Biomedical Imaging Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5086-5096} }
Focusing on What Matters: Fine-grained Medical Activity Recognition for Trauma Resuscitation via Actor Tracking: Wenjin Zhang,

Keyi Li,

Sen Yang,

Sifan Yuan,

Ivan Marsic,

Genevieve J. Sippel,

Mary S. Kim,

Randall S. Burd; [pdf]
[bibtex]
@InProceedings{Zhang_2024_CVPR, author = {Zhang, Wenjin and Li, Keyi and Yang, Sen and Yuan, Sifan and Marsic, Ivan and Sippel, Genevieve J. and Kim, Mary S. and Burd, Randall S.}, title = {Focusing on What Matters: Fine-grained Medical Activity Recognition for Trauma Resuscitation via Actor Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4950-4958} }
Evaluating Confidence Calibration in Endoscopic Diagnosis Models: Nikoo Dehghani,

Ayla Thijssen,

Quirine E. W. Van Der Zander,

Ramon-Michel Schreuder,

Erik J. Schoon,

Fons Van Der Sommen,

Peter H. N. De With; [pdf]
[bibtex]
@InProceedings{Dehghani_2024_CVPR, author = {Dehghani, Nikoo and Thijssen, Ayla and Van Der Zander, Quirine E. W. and Schreuder, Ramon-Michel and Schoon, Erik J. and Van Der Sommen, Fons and De With, Peter H. N.}, title = {Evaluating Confidence Calibration in Endoscopic Diagnosis Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5020-5025} }
Cluster Triplet Loss for Unsupervised Domain Adaptation on Histology Images: Ruby Wood,

Enric Domingo,

Viktor Hendrik Koelzer,

Timothy S. Maughan,

Jens Rittscher; [pdf] [supp]
[bibtex]
@InProceedings{Wood_2024_CVPR, author = {Wood, Ruby and Domingo, Enric and Koelzer, Viktor Hendrik and Maughan, Timothy S. and Rittscher, Jens}, title = {Cluster Triplet Loss for Unsupervised Domain Adaptation on Histology Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5122-5131} }
EfficientNet-SAM: A Novel EffecientNet with Spatial Attention Mechanism for COVID-19 Detection in Pulmonary CT Scans: Ramy Farag,

Parth Upadhay,

Jacket Dembys,

Yixiang Gao,

Katherin Garces Montoya,

Seyed Mohamad Ali Tousi,

Gbenga Omotara,

Guilherme Desouza; [pdf]
[bibtex]
@InProceedings{Farag_2024_CVPR, author = {Farag, Ramy and Upadhay, Parth and Dembys, Jacket and Gao, Yixiang and Montoya, Katherin Garces and Tousi, Seyed Mohamad Ali and Omotara, Gbenga and Desouza, Guilherme}, title = {EfficientNet-SAM: A Novel EffecientNet with Spatial Attention Mechanism for COVID-19 Detection in Pulmonary CT Scans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5200-5206} }
Dr-SAM: An End-to-End Framework for Vascular Segmentation Diameter Estimation and Anomaly Detection on Angiography Images.: Vazgen Zohranyan,

Vagner Navasardyan,

Hayk Navasardyan,

Jan Borggrefe,

Shant Navasardyan; [pdf]
[bibtex]
@InProceedings{Zohranyan_2024_CVPR, author = {Zohranyan, Vazgen and Navasardyan, Vagner and Navasardyan, Hayk and Borggrefe, Jan and Navasardyan, Shant}, title = {Dr-SAM: An End-to-End Framework for Vascular Segmentation Diameter Estimation and Anomaly Detection on Angiography Images.}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5113-5121} }
Enhancing Ki-67 Cell Segmentation with Dual U-Net Models: A Step Towards Uncertainty-Informed Active Learning: David Anglada-Rotger,

Julia Sala,

Ferran Marques,

Philippe Salembier,

Montse Pardàs; [pdf]
[bibtex]
@InProceedings{Anglada-Rotger_2024_CVPR, author = {Anglada-Rotger, David and Sala, Julia and Marques, Ferran and Salembier, Philippe and Pard\`as, Montse}, title = {Enhancing Ki-67 Cell Segmentation with Dual U-Net Models: A Step Towards Uncertainty-Informed Active Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5026-5035} }
Improving Consistency in Cardiovascular Disease Risk Assessment: Cross-Camera Adaptation for Retinal Images: Weiyi Zhang,

Danli Shi,

Mingguang He; [pdf]
[bibtex]
@InProceedings{Zhang_2024_CVPR, author = {Zhang, Weiyi and Shi, Danli and He, Mingguang}, title = {Improving Consistency in Cardiovascular Disease Risk Assessment: Cross-Camera Adaptation for Retinal Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5194-5199} }
A Deep Biclustering Framework for Brain Network Analysis: Md Abdur Rahaman,

Zening Fu,

Armin Iraji,

Vince Calhoun; [pdf] [supp]
[bibtex]
@InProceedings{Rahaman_2024_CVPR, author = {Rahaman, Md Abdur and Fu, Zening and Iraji, Armin and Calhoun, Vince}, title = {A Deep Biclustering Framework for Brain Network Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5075-5085} }
IMIL: Interactive Medical Image Learning Framework: Adrit Rao,

Andrea Fisher,

Ken Chang,

John Christopher Panagides,

Katherine Mcnamara,

Joon-Young Lee,

Oliver Aalami; [pdf] [arXiv]
[bibtex]
@InProceedings{Rao_2024_CVPR, author = {Rao, Adrit and Fisher, Andrea and Chang, Ken and Panagides, John Christopher and Mcnamara, Katherine and Lee, Joon-Young and Aalami, Oliver}, title = {IMIL: Interactive Medical Image Learning Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5241-5250} }
Separating Lungs in CT Scans for Improved COVID19 Detection: Robert Turnbull,

Simon Mutch; [pdf]
[bibtex]
@InProceedings{Turnbull_2024_CVPR, author = {Turnbull, Robert and Mutch, Simon}, title = {Separating Lungs in CT Scans for Improved COVID19 Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5216-5222} }
Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis: D.J. Araújo,

M.R. Verdelho,

A. Bissoto,

J.C. Nascimento,

C. Santiago,

C. Barata; [pdf] [supp]
[bibtex]
@InProceedings{Araujo_2024_CVPR, author = {Ara\'ujo, D.J. and Verdelho, M.R. and Bissoto, A. and Nascimento, J.C. and Santiago, C. and Barata, C.}, title = {Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5231-5240} }
Fetal ECG Extraction on Time-Frequency Domain using Conditional GAN: Vuong D. Nguyen; [pdf]
[bibtex]
@InProceedings{Nguyen_2024_CVPR, author = {Nguyen, Vuong D.}, title = {Fetal ECG Extraction on Time-Frequency Domain using Conditional GAN}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4943-4949} }
Bridging Domains in Melanoma Diagnostics: Predicting BRAF Mutations and Sentinel Lymph Node Positivity with Attention-Based Models in Histological Images: Carlos Hernandez-Perez,

Lauren Jimenez-Martin,

Veronica Vilaplana; [pdf]
[bibtex]
@InProceedings{Hernandez-Perez_2024_CVPR, author = {Hernandez-Perez, Carlos and Jimenez-Martin, Lauren and Vilaplana, Veronica}, title = {Bridging Domains in Melanoma Diagnostics: Predicting BRAF Mutations and Sentinel Lymph Node Positivity with Attention-Based Models in Histological Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5132-5140} }
One Class Classification-based Quality Assurance of Organs-at-risk Delineation in Radiotherapy: Yihao Zhao,

Cuiyun Yuan,

Ying Liang,

Yang Li,

Chunxia Li,

Man Zhao,

Jun Hu,

Ningze Zhong,

Chenbin Liu; [pdf]
[bibtex]
@InProceedings{Zhao_2024_CVPR, author = {Zhao, Yihao and Yuan, Cuiyun and Liang, Ying and Li, Yang and Li, Chunxia and Zhao, Man and Hu, Jun and Zhong, Ningze and Liu, Chenbin}, title = {One Class Classification-based Quality Assurance of Organs-at-risk Delineation in Radiotherapy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4898-4906} }
Interpreting COVID Lateral Flow Tests' Results with Foundation Models: Stuti Pandey,

Josh Myers-Dean,

Jarek Reynolds,

Danna Gurari; [pdf] [arXiv]
[bibtex]
@InProceedings{Pandey_2024_CVPR, author = {Pandey, Stuti and Myers-Dean, Josh and Reynolds, Jarek and Gurari, Danna}, title = {Interpreting COVID Lateral Flow Tests' Results with Foundation Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4935-4942} }
Unsupervised Domain Adaptation for Multi-Stain Cell Detection in Breast Cancer with Transformers: Oscar Pina,

Verónica Vilaplana; [pdf]
[bibtex]
@InProceedings{Pina_2024_CVPR, author = {Pina, Oscar and Vilaplana, Ver\'onica}, title = {Unsupervised Domain Adaptation for Multi-Stain Cell Detection in Breast Cancer with Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5066-5074} }
Prototype-based Interpretable Model for Glaucoma Detection: Mohana Singh,

B S Vivek,

Jayavardhana Gubbi,

Arpan Pal; [pdf]
[bibtex]
@InProceedings{Singh_2024_CVPR, author = {Singh, Mohana and Vivek, B S and Gubbi, Jayavardhana and Pal, Arpan}, title = {Prototype-based Interpretable Model for Glaucoma Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5056-5065} }
Comparative Analysis of Generalization and Harmonization Methods for 3D Brain fMRI Images: A Case Study on OpenBHB Dataset: Soroosh Safari Loaliyan,

Greg Ver Steeg; [pdf] [supp]
[bibtex]
@InProceedings{Loaliyan_2024_CVPR, author = {Loaliyan, Soroosh Safari and Steeg, Greg Ver}, title = {Comparative Analysis of Generalization and Harmonization Methods for 3D Brain fMRI Images: A Case Study on OpenBHB Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4915-4923} }
Source-free Domain Adaptation for Video Object Detection Under Adverse Image Conditions: Xingguang Zhang,

Chih-Hsien Chou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2024_CVPR, author = {Zhang, Xingguang and Chou, Chih-Hsien}, title = {Source-free Domain Adaptation for Video Object Detection Under Adverse Image Conditions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5010-5019} }
How SAM Perceives Different mp-MRI Brain Tumor Domains?: Cecilia Diana-Albelda,

Roberto Alcover-Couso,

Álvaro García-Martín,

Jesus Bescos; [pdf]
[bibtex]
@InProceedings{Diana-Albelda_2024_CVPR, author = {Diana-Albelda, Cecilia and Alcover-Couso, Roberto and Garc{\'\i}a-Mart{\'\i}n, \'Alvaro and Bescos, Jesus}, title = {How SAM Perceives Different mp-MRI Brain Tumor Domains?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4959-4970} }
Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation: Haoyu Dong,

Nicholas Konz,

Hanxue Gu,

Maciej A. Mazurowski; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dong_2024_CVPR, author = {Dong, Haoyu and Konz, Nicholas and Gu, Hanxue and Mazurowski, Maciej A.}, title = {Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5046-5055} }
A Multimodal Approach Integrating Convolutional and Recurrent Neural Networks for Alzheimer's Disease Temporal Progression Prediction: Durga Supriya Hl,

Swetha Mary Thomas,

Sowmya Kamath S; [pdf]
[bibtex]
@InProceedings{Hl_2024_CVPR, author = {Hl, Durga Supriya and Thomas, Swetha Mary and S, Sowmya Kamath}, title = {A Multimodal Approach Integrating Convolutional and Recurrent Neural Networks for Alzheimer's Disease Temporal Progression Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5207-5215} }
DCE-diff: Diffusion Model for Synthesis of Early and Late Dynamic Contrast-Enhanced MR Images from Non-Contrast Multimodal Inputs: Kishore Kumar M,

Sriprabha Ramanarayanan,

Sadhana S,

Arunima Sarkar,

Matcha Naga Gayathri,

Keerthi Ram,

Mohanasankar Sivaprakasam; [pdf] [supp]
[bibtex]
@InProceedings{M_2024_CVPR, author = {M, Kishore Kumar and Ramanarayanan, Sriprabha and S, Sadhana and Sarkar, Arunima and Gayathri, Matcha Naga and Ram, Keerthi and Sivaprakasam, Mohanasankar}, title = {DCE-diff: Diffusion Model for Synthesis of Early and Late Dynamic Contrast-Enhanced MR Images from Non-Contrast Multimodal Inputs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {5174-5183} }