generated from alshedivat/al-folio
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathpapers.bib
275 lines (243 loc) · 11.7 KB
/
papers.bib
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
---
---
@article{khan2018development,
title={Development of a Modular Biopotential Amplifier Trainer for Biomedical Instrumentation Laboratory Experiments},
author={Khan, Saiful Islam and Tushar, Fakrul Islam and Rokan, Md Amirul Islam and Chowdhury, Rupu},
journal={Science Journal of Circuits, Systems and Signal Processing},
volume={7},
number={2},
pages={48--59},
year={2018},
publisher={Science Publishing Group}
}
@article{tushar2018automatic,
title={Automatic skin lesion segmentation using grabcut in hsv colour space},
author={Tushar, Fakrul Islam},
journal={arXiv preprint arXiv:1810.00871},
year={2018}
}
@article{hasan2017quantification,
title={Quantification of Trabeculae Inside the Heart from MRI Using Fractal Analysis},
author={Hasan, Md Kamrul and Tushar, Fakrul Islam},
year={2017}
}
@article{alyafi2018cyclical,
title={Cyclical Learning Rates for Training Neural Networks With Unbalanced Data Sets},
author={Alyafi, Basel and Tushar, Fakrul Islam and Toshpulatov, Zafar},
year={2018}
}
@inproceedings{tang2019classification,
title={Classification of chest CT using case-level weak supervision},
author={Tang, Ruixiang and Tushar, Fakrul Islam and Han, Songyue and Hou, Rui and Rubin, Geoffrey D and Lo, Joseph Y},
booktitle={Medical Imaging 2019: Computer-Aided Diagnosis},
volume={10950},
pages={303--310},
year={2019},
organization={SPIE}
}
@inproceedings{tushar2019brain,
title={Brain tissue segmentation using neuronet with different pre-processing techniques},
author={Tushar, Fakrul Islam and Alyafi, Basel and Hasan, Md Kamrul and Dahal, Lavsen},
booktitle={2019 Joint 8th International Conference on Informatics, Electronics \& Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision \& Pattern Recognition (icIVPR)},
pages={223--227},
year={2019},
organization={IEEE}
}
@article{hasan2019comparative,
title={Comparative analysis of automatic skin lesion segmentation with two different implementations},
author={Hasan, Md Kamrul and Alyafi, Basel and Tushar, Fakrul Islam},
journal={arXiv preprint arXiv:1904.03075},
year={2019}
}
@article{hasan2020dsnet,
title={DSNet: Automatic dermoscopic skin lesion segmentation},
author={Hasan, Md Kamrul and Dahal, Lavsen and Samarakoon, Prasad N and Tushar, Fakrul Islam and Mart{\'\i}, Robert},
journal={Computers in biology and medicine},
volume={120},
pages={103738},
year={2020},
publisher={Pergamon}
}
@inproceedings{faryna2020attention,
title={Attention-guided classification of abnormalities in semi-structured computed tomography reports},
author={Faryna, Khrystyna and Tushar, Fakrul I and D'Anniballe, Vincent M and Hou, Rui and Rubin, Geoffrey D and Lo, Joseph Y},
booktitle={Medical Imaging 2020: Computer-Aided Diagnosis},
volume={11314},
pages={397--403},
year={2020},
organization={SPIE}
}
@inproceedings{saha2020weakly,
title={Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features},
author={Saha, Anindo and Tushar, Fakrul I and Faryna, Khrystyna and D'Anniballe, Vincent M and Hou, Rui and Mazurowski, Maciej A and Rubin, Geoffrey D and Lo, Joseph Y},
booktitle={Medical Imaging 2020: Computer-Aided Diagnosis},
volume={11314},
pages={39--44},
year={2020},
organization={SPIE}
}
@article{tushar2021classification,
title={Classification of multiple diseases on body CT scans using weakly supervised deep learning},
author={Tushar, Fakrul Islam and D’Anniballe, Vincent M and Hou, Rui and Mazurowski, Maciej A and Fu, Wanyi and Samei, Ehsan and Rubin, Geoffrey D and Lo, Joseph Y},
journal={Radiology: Artificial Intelligence},
volume={4},
number={1},
pages={e210026},
year={2021},
publisher={Radiological Society of North America}
}
@inproceedings{tushar2022co,
title={Co-occurring diseases heavily influence the performance of weakly supervised learning models for classification of chest CT},
author={Tushar, Fakrul Islam and D'Anniballe, Vincent M and Rubin, Geoffrey D and Samei, Ehsan and Lo, Joseph Y},
booktitle={Medical Imaging 2022: Computer-Aided Diagnosis},
volume={12033},
pages={675--679},
year={2022},
organization={SPIE}
}
@inproceedings{tushar2022quality,
title={Quality or quantity: toward a unified approach for multi-organ segmentation in body CT},
author={Tushar, Fakrul Islam and Nujaim, Husam and Fu, Wanyi and Abadi, Ehsan and Mazurowski, Maciej A and Segars, William P and Samei, Ehsan and Lo, Joseph Y},
booktitle={Medical Imaging 2022: Physics of Medical Imaging},
volume={12031},
pages={679--684},
year={2022},
organization={SPIE}
}
@inproceedings{tushar2022virtual,
title={Virtual vs. reality: external validation of COVID-19 classifiers using XCAT phantoms for chest computed tomography},
author={Tushar, Fakrul Islam and Abadi, Ehsan and Sotoudeh-Paima, Saman and Fricks, Rafael B and Mazurowski, Maciej A and Segars, W Paul and Samei, Ehsan and Lo, Joseph Y},
booktitle={Medical Imaging 2022: Computer-Aided Diagnosis},
volume={12033},
pages={32--38},
year={2022},
organization={SPIE}
}
@inproceedings{dahal2022virtual,
title={Virtual versus reality: external validation of COVID-19 classifiers using XCAT phantoms for chest radiography},
author={Dahal, Lavsen and Tushar, Fakrul Islam and Abadi, Ehsan and Fricks, Rafael B and Mazurowski, Maciej and Segars, W Paul and Samei, Ehsan and Lo, Joseph Y},
booktitle={Medical Imaging 2022: Physics of Medical Imaging},
volume={12031},
pages={206--212},
year={2022},
organization={SPIE}
}
@article{d2022multi,
title={Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning},
author={D’Anniballe, Vincent M and Tushar, Fakrul Islam and Faryna, Khrystyna and Han, Songyue and Mazurowski, Maciej A and Rubin, Geoffrey D and Lo, Joseph Y},
journal={BMC medical informatics and decision making},
volume={22},
number={1},
pages={102},
year={2022},
publisher={BioMed Central London}
}
@inproceedings{dahal2023automatic,
title={Automatic quality control in computed tomography volumes segmentation using a small set of XCAT as reference images},
author={Dahal, Lavsen and Wang, Yuqi and Tushar, Fakrul Islam and Montero, Isabel and Lafata, Kyle and Abadi, Ehsan and Samei, Ehsan and Segars, William P and Lo, Joseph Y},
booktitle={Medical Imaging 2023: Physics of Medical Imaging},
volume={12463},
pages={857--861},
year={2023},
organization={SPIE}
}
@article{islam2023data,
title={Data diversity and virtual imaging in AI-based diagnosis: A case study based on COVID-19},
author={Islam Tushar, Fakrul and Dahal, Lavsen and Sotoudeh-Paima, Saman and Abadi, Ehsan and Segars, W Paul and Samei, Ehsan and Lo, Joseph Y},
journal={arXiv e-prints},
pages={arXiv--2308},
year={2023}
}
@article{tushar2024limits,
title={What limits performance of weakly supervised deep learning for chest CT classification?},
author={Tushar, Fakrul Islam and D'Anniballe, Vincent M and Rubin, Geoffrey D and Lo, Joseph Y},
journal={arXiv preprint arXiv:2402.04419},
year={2024}
}
@inproceedings{tushar2024virtual,
title={Virtual NLST: towards replicating national lung screening trial},
author={Tushar, Fakrul Islam and Vancoillie, Liesbeth and McCabe, Cindy and Kavuri, Amareswararao and Dahal, Lavsen and Harrawood, Brian and Fryling, Milo and Zarei, Mojtaba and Sotoudeh-Paima, Saman and Ho, Fong Chi and others},
booktitle={Medical Imaging 2024: Physics of Medical Imaging},
volume={12925},
pages={442--447},
year={2024},
organization={SPIE}
}
@article{tushar2024ai,
title={AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets},
author={Tushar, Fakrul Islam and Wang, Avivah and Dahal, Lavsen and Harowicz, Michael R and Lafata, Kyle J and Tailor, Tina D and Lo, Joseph Y},
journal={arXiv preprint arXiv:2405.04605},
year={2024}
}
@article{islam2024ai,
title={AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets},
author={Islam Tushar, Fakrul and Wang, Avivah and Dahal, Lavsen and Harowicz, Michael R and Lafata, Kyle J and Tailor, Tina D and Lo, Joseph Y},
journal={arXiv e-prints},
pages={arXiv--2405},
year={2024}
}
@article{dahal2024xcat,
title={XCAT-2.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans},
author={Dahal, Lavsen and Ghojoghnejad, Mobina and Ghosh, Dhrubajyoti and Bhandari, Yubraj and Kim, David and Ho, Fong Chi and Tushar, Fakrul Islam and Abadi, Ehsan and Samei, Ehsan and Lo, Joseph and others},
journal={arXiv preprint arXiv:2405.11133},
year={2024}
}
@inproceedings{wang2024radiomic,
title={Radiomic-Demographic Data Fusion and Diagnostic Uncertainty Quantification Lead to Improved Specificity of Lung Cancers on Low Dose Screening CT},
author={Wang, Yuqi and Tushar, Fakrul Islam and Riley, Breylon and Wang, Avivah and Read, Charlotte Elizabeth and Tailor, Tina D and Bashir, Mustafa and Lo, Joseph and Lafata, Kyle J},
booktitle={AAPM 66th Annual Meeting \& Exhibition},
year={2024},
organization={AAPM}
}
@article{tushar2024virtual,
title={Virtual Lung Screening Trial (VLST): An In Silico Replica of the National Lung Screening Trial for Lung Cancer Detection},
author={Tushar, Fakrul Islam and Vancoillie, Liesbeth and McCabe, Cindy and Kavuri, Amareswararao and Dahal, Lavsen and Harrawood, Brian and Fryling, Milo and Zarei, Mojtaba and Sotoudeh-Paima, Saman and Ho, Fong Chi and others},
journal={arXiv e-prints},
pages={arXiv--2404},
year={2024}
}
@article{tushar2024peritumoral,
title={Peritumoral Expansion Radiomics for Improved Lung Cancer Classification},
author={Tushar, Fakrul Islam},
journal={arXiv preprint arXiv:2411.16008},
year={2024}
}
@article{tushar2024refining,
title={Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation},
author={Tushar, Fakrul Islam},
journal={arXiv preprint arXiv:2411.16823},
year={2024}
}
@article{tushar2023virtual,
title={Virtual imaging trials improved the transparency and reliability of AI systems in COVID-19 imaging},
author={Tushar, Fakrul Islam and Dahal, Lavsen and Sotoudeh-Paima, Saman and Abadi, Ehsan and Segars, W Paul and Samei, Ehsan and Lo, Joseph Y},
journal={arXiv e-prints},
pages={arXiv--2308},
year={2023}
}
@article{wang2024concordance,
title={Concordance-based Predictive Uncertainty (CPU)-Index: Proof-of-concept with application towards improved specificity of lung cancers on low dose screening CT},
author={Wang, Yuqi and Gupta, Aarzu and Tushar, Fakrul Islam and Riley, Breylon and Wang, Avivah and Tailor, Tina D and Tantum, Stacy and Liu, Jian-Guo and Bashir, Mustafa R and Lo, Joseph Y and others},
journal={Artificial Intelligence in Medicine},
pages={103055},
year={2024},
publisher={Elsevier}
}
@inproceedings{tushar2024beyond,
author = {Tushar, Fakrul Islam and L. Vancoillie and D. Ghosh and J. K. Lafata and J. Lo},
title = {Beyond Detection: Bridging the Gap Between Virtual Imaging Trials and Clinical Impact},
booktitle = {Proceedings of Virtual Imaging Trials in Medicine 2024},
year = {2024},
month = {May},
day = {8},
pages = {202},
note = {arXiv preprint arXiv:2405.05359},
url = {http://arxiv.org/abs/2405.05359}
}
@inproceedings{tushar2024virtual,
author = {Tushar, Fakrul Islam and Vancoillie Liesbeth and McCabe Cindy and Kavuri Amareswararao and Dahal Lavsen and Harrawood Brian and Fryling Milo and et al.},
title = {Virtual Human Twins in Lung Health: A Comprehensive in Silico Screening Approach},
booktitle = {Proceedings of the RSNA Annual Meeting 2024},
year = {2024},
note = {Paper presented at the RSNA Annual Meeting 2024}
}