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] [arXiv]
[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} }

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} }

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} }

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} }

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} }

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} }

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} }

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} }

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} }

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} }

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} }

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} }

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} }

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} }

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} }

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} }

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} }

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} }

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} }

Motion-aware Needle Segmentation in Ultrasound Images
Raghavv Goel,
Cecilia Morales,
Manpreet Singh,
Artur Dubrawski,
John Galeotti,
Howie Choset
[pdf]
[bibtex]
@InProceedings{Goel_2024_CVPR, author = {Goel, Raghavv and Morales, Cecilia and Singh, Manpreet and Dubrawski, Artur and Galeotti, John and Choset, Howie}, title = {Motion-aware Needle Segmentation in Ultrasound Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {7886-7891} }

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} }

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} }

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} }

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} }

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} }

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} }

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} }

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} }

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} }

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} }